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Face recognition algorithm based on improved facial model
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Face Recognition Algorithm Based on Multi-layer Weighted LBP
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Face Recognition Algorithm Based on Transductive Learning Classifier
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Face recognition algorithm combined with DCT, PCA and BPNN
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Face recognition algorithm on the basis of truncated Walsh-Hadamard transform and synthetic discriminant functions
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Face recognition algorithm using local and global information
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Face Recognition Algorithm Using the Discrete Gabor Transform
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Face recognition algorithm using wavelet decomposition and Support Vector Machines
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Face recognition algorithms as models of human face processing
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Face Recognition Algorithms Surpass Humans Matching Faces Over Changes in Illumination
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Face recognition analysis for noise images based on combinational mirror-like odd and even features
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Face recognition and alignment using support vector machines
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Face recognition and facial expression identification using PCA
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Face recognition and gender classification in personal memories
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Face recognition and learning via adaptive dictionaries
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Face recognition and retrieval based on feedback log information
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Face Recognition and Retrieval Using Cross-Age Reference Coding With Cross-Age Celebrity Dataset
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Face recognition and tracking for human-robot interaction
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Face recognition and unseen subject rejection in margin-enhanced space
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Face Recognition and Verification Using Photometric Stereo: The Photoface Database and a Comprehensive Evaluation
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Face recognition applying a kernel-based representative and discriminative nonlinear classifier to eigenspectra
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Face recognition approach based on 2D discrete fractional Fourier transform
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Face recognition approach based on two-dimensional subspace analysis and PNN
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Face recognition approach based on wavelet transform
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Face Recognition Assisted With 3D Face Model
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Face recognition at a distance system for surveillance applications
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Face recognition at-a-distance based on sparse-stereo reconstruction
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Face recognition at-a-distance using texture and sparse-stereo reconstruction
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Face Recognition at-a-Distance Using Texture, Dense- and Sparse-Stereo Reconstruction
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Face recognition at-a-distance using texture, Sparse-Stereo, and Dense-Stereo
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Face recognition base on a new design of classifier with SIFT keypoints
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Face recognition base on KPCA with polynomial kernels
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Face recognition base on low dimension Gabor feature using direct fractional-step LDA
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Face Recognition Base on Uncorrelated Linear Extension of Graph Embedding
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Face recognition based dog breed classification using coarse-to-fine concept and PCA
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Face recognition based Hybrid Fuzzy Hidden Markov Models
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Face recognition based on 2D locally discriminating projection method
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Face recognition based on 2DLDA and support vector machine
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Face recognition based on 2DPCA and DWT
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Face recognition based on 2DPCA and fuzzy-rough technique
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Face Recognition Based on 2DPCA under MMSE Rule and RBF Neural Network
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Face recognition based on 2DPCA, DIAPCA and DIA2DPCA in DCT domain
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Face recognition based on 4 Dimensions Local Binary Patterns
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Face recognition based on a 3D morphable model
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Face Recognition Based on a Gabor-2DFisherface Approach with Selecting 2D Gabor Principal Components and Discriminant Vectors
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Face recognition based on a novel illumination normalization method
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Face Recognition Based on a Single Image and Local Binary Pattern
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Face recognition based on a two-view projective transformation using one sample per subject
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Face Recognition based on Accelerated Joint Boosting and Illumination Normalized Local Gabor Binary Pattern Histogram Sequence
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Face recognition based on adaptive weighting and fuzzy fusion with single training sample
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Face Recognition Based on Adaptively Weighted Gabor-LDA
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Face Recognition Based on an Alternative Formulation of Orthogonal LPP
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Face recognition based on auto-switching magnetic door lock system using microcontroller
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Face recognition based on Beta 2D Elastic Bunch Graph Matching
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Face Recognition Based on Binary Edge Map and Support Vector Machine
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Face recognition based on binary images for link selection
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Face Recognition Based on Biomimetic Pattern Recognition by High-Dimensional Geometry
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Face recognition based on bionic Pattern
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Face Recognition Based on Chaotic Fuzzy RBF Neural Network
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Face recognition based on circularly symmetrical Gabor transform
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Face recognition based on classifier combinations
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Face recognition based on collaborative image similarity assessment
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Face recognition based on committee machine
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Face Recognition Based on Complementary Matching of Single Image and Sequential Images
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Face recognition based on constructive neural networks covering learning algorithm
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Face Recognition Based on Correlation of Wavelet Transform Images
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Face Recognition Based on Covering Algorithm and PLS
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Face Recognition Based on Curvefaces
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Face recognition based on cycle kernel and gray kernels
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Face recognition based on data field
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Face Recognition Based on DCT and 2DLDA
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Face recognition based on DCT and multi-scale ∊-LBP
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Face recognition based on DCT pyramid feature extraction
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Face recognition based on depth and curvature features
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Face recognition based on Detail Histogram Intersection kernel
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Face recognition based on dictionary learning and kernel sparse representation classifier
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Face Recognition Based on Digital Curvelet Transform
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Face Recognition Based on Discrete Cosine Transform and Support Vector Machine
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Face Recognition Based on Discriminant Evaluation in the Whole Space
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Face recognition based on discriminant waveletfaces
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Face recognition based on discriminative manifold learning
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Face Recognition Based on Dominant Frequency Features and Multiresolution Metric
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Face recognition based on double complementary space and multi-decision classification
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Face recognition based on DWT and DBC
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Face recognition based on DWT/DCT and SVM
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Face recognition based on error detection under partial occlusion
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Face Recognition Based on Euclidean Distance and Texture Features
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Face Recognition Based on Extended Locally Linear Embedding
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Face recognition based on extended separable lattice 2-D HMMS
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Face Recognition Based on Face Gabor Image and SVM
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Face recognition based on face partitions using Common Vector Approach
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Face recognition based on facial feature training
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Face Recognition Based on FastICA and RBF Neural Networks
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Face recognition based on feature fusion
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Face recognition based on feature vector generation using Centric mean with forward and backward diagonal mean using DCT
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Face Recognition Based on Features Measurement Technique
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Face recognition based on fitting a 3D morphable model
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Face Recognition Based on Fractal and Hidden Markov Model
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Face recognition based on fractal dimension
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Face recognition based on fractional discrete cosine transform
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Face recognition based on fractional Fourier transform and PCA
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Face recognition based on frontal views generated from non-frontal images
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Face Recognition Based on Fusion of 2DLDA and Points of Interest
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Face recognition based on fusion of Gabor and 2DPCA features
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Face recognition based on fusion of multilevel centre-symmetric local derivative pattern
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Face recognition based on fuzzy Independent Component Analysis
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Face recognition based on fuzzy probabilistic SOM
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Face Recognition Based on Fuzzy Rough Set Reduction
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Face Recognition Based on Gabor Feature Extraction and Fractal Coding
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Face recognition based on Gabor features
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Face Recognition Based on Gabor Features and Two-Dimensional PCA
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Face Recognition Based on Gabor Features and Unit-Linking PCNN
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Face recognition based on Gabor with 2DPCA and PCA
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Face Recognition Based on Geodesic Preserving Projection Algorithm with 3D Morphable Model
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Face recognition based on geometric features using Support Vector Machines
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Face recognition based on Gradient Gabor feature
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Face recognition based on graph kernels
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Face recognition based on Gray Scale Kernel
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Face Recognition Based on Grey Relation Metric
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Face recognition based on Haar LBP histogram
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Face recognition based on histogram of the 2D-FrFT magnitude and phase
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Face Recognition Based on Illumination Adaptive LDA
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Face recognition based on illumination restoration
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Face Recognition Based on Image Enhancement and Gabor Features
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Face recognition based on image sets
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Face Recognition Based on Image Transformation
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Face recognition based on improved Euclid norm
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Face recognition based on improved PCA reconstruction
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Face Recognition Based on Improved SURF
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Face Recognition Based on Improved Tensor Neighborhood Preserving Embedding
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Face recognition based on independent component analysis
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Face Recognition Based on Independent Component Analysis and Fuzzy Support Vector Machine
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Face recognition based on Independent Component Analysis on wavelet subband
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Face recognition based on independent Gabor features and support vector machine
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Face Recognition Based on Invariant Eigenvectors and Hausdorff Fraction Distance
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Face Recognition Based on Kernel Schur-Orthogonal Neighborhood Preserving Discriminant Embedding
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Face recognition based on KPCA and SVM
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Face recognition based on Laplacian Eigenmaps
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Face recognition based on LBP and CS-LBP technique under different emotions
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Face recognition based on LBP and orthogonal rank-one tensor projections
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Face recognition based on LFA features and DLPP algorithm
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Face Recognition Based on LFDA and LS-SVM
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Face Recognition Based on Local Binary Patterns with Threshold
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Face recognition based on local directional number pattern and ANFIS classifier
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Face Recognition Based on Local Feature Analysis
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Face recognition based on local uncorrelated and weighted global uncorrelated discriminant transforms
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Face recognition based on Log-Gabor and uncorrelated LDE
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Face recognition based on Log-Gabor filter binary transformation
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Face recognition based on Low-Rank matrix Representation
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Face Recognition Based on Manifold Ranking and PCA
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Face Recognition Based on Mixed between Selected Feature by Multiwavelet and Particle Swarm Optimization
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Face recognition based on modified LBP
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Face Recognition Based on Modified Modular Principal Component Analysis
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Face recognition based on MPCA
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Face recognition based on Multi-class Fisher Scores
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Face recognition based on multi-class SVM
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Face recognition based on multi-module singular value features and probabilistic subspaces analysis
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Face recognition based on multiple facial features
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Face recognition based on nearest linear combinations
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Face recognition based on neighbourhood discriminant preserving embedding
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Face recognition based on neural network ensemble and feature fusion
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Face recognition based on neuron fuzzy systems
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Face Recognition Based on NMF and SVM
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Face recognition based on non-corresponding region matching
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Face recognition based on nonsubsampled contourlet transform and block-based kernel Fisher linear discriminant
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Face recognition based on olfactory bionic model
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Face recognition based on opposition particle swarm optimization and support vector machine
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Face Recognition based on Ordinal Correlation Approach
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Face Recognition Based on PCA and 2DPCA with Single Image Sample
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Face Recognition Based on PCA and LDA Combination Feature Extraction
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Face Recognition based on PCA and Multi-degree of Freedom Neurons
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Face Recognition Based on PCA and SVM
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Face Recognition Based on PCA and SVM Optimized by MEB
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Face recognition based on PCA on wavelet subband
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Face recognition based on perceived facial images and multilayer perceptron neural network using constructive training algorithm
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Face Recognition Based on PLS and HMM
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Face Recognition Based on Polynomial Fuzzy Matching
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Face Recognition Based on Possibilistic Partition and Fuzzy Integral
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Face Recognition Based on Principle Component Analysis and Support Vector Machine
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Face Recognition Based on Projected Color Space With Lighting Compensation
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Face Recognition Based on Projection Map and Fourier Transform for One Training Image Per Person
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Face Recognition Based on Projection Map and SVD Method for One Training Image per Person
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Face Recognition Based On Pulse Coupled Neural Network
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Face Recognition Based on Radial Basis Function Neural Networks
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Face Recognition Based on Radial Basis Function Neural Networks using Subtractive Clustering Algorithm
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Face recognition based on random feature
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Face Recognition Based on Randomized Subspace Feature
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Face recognition based on regression analysis using frequency features
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Face recognition based on regularized nearest points between image sets
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Face recognition based on relevance vector machine
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Face recognition based on Riemannian manifold learning
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Face Recognition based on scale invariant feature transform and Spatial Pyramid Representation
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Face recognition based on Second Generation of Curvelet Transform and Kernel Principal Component Analysis
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Face recognition based on separable lattice 2-D HMM with state duration modeling
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Face recognition based on separable lattice 2-D HMMS using variational bayesian method
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Face Recognition Based on Separable Lattice HMMS
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Face Recognition Based on SFLBP
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Face Recognition Based on Shearlet Transform and Fast ICA
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Face Recognition Based on Shearlets Transform and Principle Component Analysis
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Face recognition based on SIGMA sets of image features
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Face recognition based on singular value and feature-matrix
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Face recognition based on singular valued decomposition and back progagation neural network
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Face recognition based on skin color information and Support Vector Machine
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Face recognition based on sparse representation and error correction SVM
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Face Recognition Based on Sparse Representation and Joint Sparsity Model with Matrix Completion
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Face recognition based on sparse representation applied to mobile device
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Face Recognition Based on Sparse Representation Classifier with Gabor-Edge Components Histogram
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Face recognition based on spectroface and uniform eigen-space SVD for one training image per person
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Face Recognition Based on Sub-image Feature Extraction and LS-SVM
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Face Recognition Based on Supervised Kernel Isomap
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Face Recognition Based on Support Vector Machines
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Face recognition based on symmetrical weighted PCA
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Face recognition based on texture features using hybrid projection function
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Face recognition based on the Android device using LBP algorithm
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Face recognition based on the appearance of local regions
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Face recognition based on the combination of histogram features and rough location information of facial parts
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Face recognition based on the differential mode SLPP
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Face recognition based on the feature fusion in fractional Fourier domain
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Face recognition based on the feature fusion of 2DLDA and LBP
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Face recognition based on the fusion of global and local HOG features of face images
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Face Recognition Based on the Phase Spectrum of Local Normalized Image
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Face Recognition Based on the Probability Support Vector Machines
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Face recognition based on the quotient image method and sparse representation
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Face Recognition Based on the Statistics Methods
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Face Recognition Based on Two Dimension Double PCA and Affinity Propagation
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Face Recognition Based on Two-Dimension Kernel Principal Component Analysis and Fuzzy Maximum Scatter Difference
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Face recognition based on Two-Dimensional Discriminant Locality Preserving Projection
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Face Recognition Based on Two-Dimensional Heteroscedastic Discriminant Analysis
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Face recognition based on two-phase 2DLEM
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Face Recognition Based on Unit-Linking PCNN Time Signature
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Face recognition based on variant 2DPCA-based approaches in robot environments
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Face Recognition Based on Vector Quantization Building Feature Frequency Database
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Face recognition based on Wavelet and Fourier transform
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Face recognition based on wavelet packet decomposition and support vector machines
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Face Recognition based on Wavelet Transform and Image Comparison
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Face Recognition Based on Wavelet Transform and Image Principle Component Analysis
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Face Recognition Based on Wavelet Transform and Improved 2DPCA
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Face Recognition Based on Wavelet Transform and PCA
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Face recognition based on wavelet transform and SVM
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Face Recognition Based on Wavelet Transform Weighted Modular PCA
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Face Recognition Based on Wavelet Transform, Singular Value Decomposition and Kernel Principal Component Analysis
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Face Recognition Based on WKPCA
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Face Recognition Based on WT, FastICA and RBF Neural Network
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Face recognition based verification with reinforced decision support
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Face recognition by applying wavelet subband representation and kernel associative memory
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Face recognition by bidirectional view synthesis
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Face recognition by capturing eye illumination spot
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Face Recognition by Combination of RBF Neural Networks Using Dempster-Shafer Theory
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Face recognition by combining Gabor wavelets and nearest neighbor discriminant analysis
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Face Recognition by Combining Kernel Associative Memory and Gabor Transforms
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Face recognition by combining several algorithms
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Face Recognition by Computers and Humans
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Face recognition by concept formation neural structure
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Face recognition by distribution specific feature extraction
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Face recognition by edge distribution
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Face recognition by elastic bunch graph matching
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Face recognition by elastic bunch graph matching
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Face Recognition by Exploiting Local Gabor Features With Multitask Adaptive Sparse Representation
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Face Recognition by Exploring Information Jointly in Space, Scale and Orientation
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Face Recognition by Expression-Driven Sketch Graph Matching
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Face recognition by fast independent component analysis and genetic algorithm
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Face recognition by feature orientation and feature geometry matching
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Face Recognition by Feedforward Neural Network Using Laplacian of Gaussian Filter and Singular Value Decomposition
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Face recognition by fiducial point analysis
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Face recognition by fractal transformations
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Face recognition by fusing binary edge feature and second-order mutual information
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Face Recognition by Fusing Local and Global Discriminant Features
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Face recognition by fusion of local and global matching scores using DS theory: An evaluation with uni-classifier and multi-classifier paradigm
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Face recognition by fuzzy generalized 2DFLD method and RBF neural network classifier
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Face Recognition by Global Optimal Discriminant Features and Ensemble Artificial Neural Networks
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Face Recognition by Humans: Nineteen Results All Computer Vision Researchers Should Know About
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Face recognition by incremental learning
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Face recognition by incremental learning for robotic interaction
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Face recognition by independent component analysis
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Face Recognition by Integrating Chin Outline
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Face Recognition by LLE Dimensionality Reduction
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Face recognition by local and global analysis
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Face recognition by means of template matching in frequency domain-a hardware based approach
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Face Recognition by Multi-Frame Fusion of Rotating Heads in Videos
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Face Recognition by Multi-resolution Curvelet Transform on Bit Quantized Facial Images
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Face Recognition by Nonnegative Independent Component Analysis
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Face Recognition by Observation-Sequence-Based Methods Based on Pseudo 2D HMM and Neural Networks
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Face Recognition by Optical Correlation using 3D Filter
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Face Recognition By Optical Learning Neural Network
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Face recognition by optimal band selection in contourlet transform domain
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Face Recognition by PCA Technique
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Face recognition by Principle Vectors Subspace
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Face recognition by projection-based 3D normalization and shading subspace orthogonalization
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Face Recognition by Regularized Discriminant Analysis
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Face Recognition by Regularized-LDA Using PRM
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Face Recognition by Spatiotemporal ICA Using Facial Database Collected by AcSys FRS Discover System
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Face recognition by stepwise nonparametric margin maximum criterion
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Face recognition by subspace analysis of 2D Log-Gabor wavelets features
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Face Recognition by Super-Resolved 3D Models From Consumer Depth Cameras
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Face recognition by support vector machines
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Face recognition by SVMS classification of 2D and 3D Radial Geodesics
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Face Recognition by Using 3D Discrete Cosine Transform
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Face recognition by using 4D Discrete Cosine Transform
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Face Recognition by Using Combined Method of Centroid Shift and Fixed-Point ICA Based on Secant Method
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Face recognition by using discriminative common vectors
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Face recognition by using fractal encoding and backpropagation neural network
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Face recognition by using Gabor and LBP
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Face recognition by using neural network classifiers based on PCA and LDA
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Face Recognition by Using Unitary Vector Spaces
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Face recognition by wavelet domain associative memory
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Face recognition by weighted multi-resolution uniform local Gabor binary patterns
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Face recognition by Zero-Ratio based LGBP features
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Face recognition CAPTCHA
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Face Recognition CAPTCHAs
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Face Recognition Challenge: Object Recognition Approaches for Human/Avatar Classification
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Face Recognition Combing Principal Component Analysis and Fractional-step Linear Discriminant analysis
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Face Recognition Combining 3-channel Filter Bank and 2DLDA
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Face recognition committee machine
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Face recognition committee machine
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Face recognition committee machines: dynamic vs. static structures
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Face recognition despite missing information
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Face Recognition Despite Wearing Glasses
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Face recognition evaluation of an association cortex - entorhinal cortex hippocampal formation model by successive learning
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Face recognition for cattle
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Face recognition for great apes: Identification of primates in videos
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Face recognition for homeland security: a computational intelligence approach
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Face recognition for images from the same unknown person
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Face recognition for look-alikes: A preliminary study
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Face recognition for newborns
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Face recognition for newborns: A preliminary study
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Face recognition for remote database backup system
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Face recognition for security efficiency in managing and monitoring visitors of an organization
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Face recognition for smart environments
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Face Recognition for Smart Interactions
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Face recognition for smart interactions
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Face Recognition for Social Interaction with a Personal Robotic Assistant
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Face recognition for target detection on PCA features with outlier information
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Face recognition for vehicle personalization with near-IR frame differencing and pose clustering
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Face recognition from 2D and 3D images using structural Hausdorff distance
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Face recognition from 3D data using Iterative Closest Point algorithm and Gaussian mixture models
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Face recognition from a single sample per person based on LTP
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Face recognition from a single training image under arbitrary unknown lighting using spherical harmonics
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Face recognition from a single view based on flexible neural network matching
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Face Recognition from a Tabula Rasa Perspective
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Face Recognition from Face Motion Manifolds using Robust Kernel Resistor-Average Distance
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Face recognition from face profile using dynamic time warping
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Face recognition from multi-pose image sequence
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Face recognition from one example view
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Face recognition from profiles using morphological operations
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Face recognition from sets of images
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Face recognition from single sample based on human face perception
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Face recognition from super-resolved images
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Face recognition from synchronised visible and near-infrared images
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Face Recognition from Unconstrained Images: Progress with Prototypes
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Face recognition from unfamiliar views: subspace methods and pose dependency
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Face Recognition from Video by Matching Image Sets
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Face Recognition From Video using Active Appearance Model Segmentation
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Face recognition from video: a CONDENSATION approach
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Face recognition from video: An MMV recovery approach
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Face Recognition HW/SW IP implementation and validation for high reliability using a Virtual Platform
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Face recognition implementation for client server mobile application using PCA
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Face recognition improvement by converting expression faces to neutral faces
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Face recognition improvement using soft biometrics
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Face recognition improvement with distortions of images in training set
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Face recognition in ΛT space
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Face recognition in a heterogeneous population
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Face recognition in a meeting room
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Face recognition in a tactical environment
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Face recognition in a transformed domain
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Face recognition in a video by pose variations
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Face recognition in color images using principal component analysis and fuzzy support vector machines
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Face Recognition in Global Harmonic Subspace
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Face recognition in hyperspectral images
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Face recognition in hyperspectral images
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Face recognition in low-resolution videos using learning-based likelihood measurement model
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Face Recognition in Movie Trailers via Mean Sequence Sparse Representation-Based Classification
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Face recognition in multi-camera surveillance videos
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Face recognition in multi-camera surveillance videos using Dynamic Bayesian Network
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Face recognition in open environments: developments at CSIRO
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Face recognition in reduced Eigen-plane
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Face recognition in surveillance system
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Face recognition in the crowded people under general background
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Face Recognition in the Dark
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Face recognition in the presence of expression and/or illumination variation
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Face recognition in the presence of multiple illumination sources
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Face Recognition in the Thermal Infrared Spectrum
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Face Recognition in the Virtual World: Recognizing Avatar Faces
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Face recognition in the wild with the Probabilistic Gabor-Fisher Classifier
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Face recognition in unconstrained environments
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Face recognition in unconstrained environments
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Face recognition in unconstrained videos with matched background similarity
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Face recognition in vehicles with near infrared frame differencing
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Face Recognition in Video Using a What-and-Where Fusion Neural Network
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Face recognition in video using Dempster-Shafer theory
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Face recognition in video with closed-loop super-resolution
391
Face recognition in video, a combination of eigenface and adaptive skin-color model
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Face Recognition in Video: Adaptive Fusion of Multiple Matchers
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Face Recognition in Videos by Label Propagation
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Face recognition independent of facial expression through SOM-based classifiers
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Face Recognition Lock
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Face Recognition Method Based on Adaptively Weighted Block-Two Dimensional Principal Component Analysis
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Face Recognition Method Based on FLPP
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Face recognition method based on fuzzy 2DPCA
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Face Recognition Method Based on SURF Feature
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Face Recognition Method Based on SURF Feature
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Face recognition method based on two-directional and Modular Fuzzy 2DPCA
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Face recognition method based on virtual sample
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Face recognition method based on Within-class Clustering SVM
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Face recognition method by using large and representative datasets
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Face recognition method combined with gamma transform and Gabor transform
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Face Recognition Method Combining 3D Face Model with 2D Recognition
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Face recognition method independent of rotation and size variations
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Face recognition method using mutual information and hybrid feature
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Face recognition methods based on principal component analysis and feedforward neural networks
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Face recognition methods for multimodal interface
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Face recognition model applied to the missing people problem
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Face recognition of technology experts for e-government based on web mining
413
Face recognition of video sequences in a MPEG-7 context using a global eigen approach
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Face recognition of wireframe polyhedra using fundamental cycles
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Face Recognition on Bionic Pattern
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Face Recognition on Consumer Devices: Reflections on Replay Attacks
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Face recognition on FERET face database using LDA and CCA methods
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Face recognition on Lorentzian manifold
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Face recognition on smartphones via optimised Sparse Representation Classification
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Face Recognition Performance: Role of Demographic Information
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Face Recognition Research Based on Anti-Symmetrical Wavelet and Eigenface
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Face recognition robust to head pose changes based on the RGB-D sensor
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Face Recognition Robust to Head Pose from One Sample Image
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Face recognition search engine that uses distributed computing-based ASM
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Face Recognition System and It´s Application
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Face recognition system based on feature extration
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Face recognition system based on neural networks and fuzzy logic
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Face Recognition System by Fast and Incremental Learning Method
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Face recognition system invariant to plastic surgery
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Face recognition system to enhance E Health
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Face Recognition System Using Ant Colony Optimization-Based Selected Features
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Face Recognition System using Artificial Neural Networks Approach
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Face recognition system using Combined Gabor Wavelet and DCT approach
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Face recognition system using Extended Curvature Gabor classifier bunch for low-resolution face image
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Face Recognition System Using Gabor Features and HTK Toolkit
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Face recognition system using local autocorrelations and multiscale integration
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Face recognition system using multi layer feed Forward Neural Networks and Principal Component Analysis with variable learning rate
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Face recognition system using Multilinear Principal Component Analysis and Locality Preserving Projection
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Face Recognition System Using Multiple Face Model of Hybrid Fourier Feature Under Uncontrolled Illumination Variation
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Face recognition system using neural network with Gabor and discrete wavelet transform parameterization
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Face recognition system using PCA-ANN technique with feature fusion method
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Face recognition system using skin detection in RGB and YCbCr color space
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Face Recognition System Using SVM Classifier and Feature Extraction by PCA and LDA Combination
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Face recognition system using SVM-based classifier
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Face recognition system with automatic training samples selection using self-organizing map
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Face Recognition System with Distorted Principal Component Analysis and Fuzzy-Gaussian Neural Network
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Face recognition system with PCA and moment invariant method
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Face recognition systems based on independent component analysis and support vector machine
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Face recognition technique using Gabor wavelets and Singular Value Decomposition (SVD)
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Face recognition techniques (FRT) based on face ratio under controlled conditions
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Face recognition techniques with permanent changes: A review
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Face recognition techniques, their advantages, disadvantages and performance evaluation
453
Face recognition technology
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Face Recognition Technology Based on Identification Card
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Face recognition technology: security versus privacy
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Face recognition through a chaotic neural network model
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Face recognition through a novel indexing method based on permutations
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Face recognition through mismatch driven representations of the face
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Face recognition through regional weight estimation
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Face recognition uiing trichotomic combination Of SVD, DF-LDA and LPP
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Face recognition under camouflage and adverse illumination
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Face Recognition under Complex Conditions
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Face recognition under illumination variations based on eight local directional patterns
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Face Recognition Under Occlusions and Variant Expressions With Partial Similarity
465
Face recognition under partial occlusion and noise
466
Face recognition under partial occlusion using HMM and Face Edge Length Model
467
Face recognition under pose variation with active shape model to adjust Gabor filter kernels and to correct feature extraction location
468
Face recognition under pose variations using shape-adapted texture features
469
Face Recognition Under Significant Pose Variation
470
Face recognition under variable lighting using harmonic image exemplars
471
Face recognition under variable lighting using the mean-field method and the gray-level pyramid
472
Face recognition under varying facial expression based on Perceived Facial Images and local feature matching
473
Face recognition under varying illumination based on adaptive homomorphic eight local directional patterns
474
Face recognition under varying illumination based on Dual-tree complex wavelet transform
475
Face recognition under varying illumination based on histogram equalized processed images
476
Face Recognition under Varying Illumination Based on Local Binary Patterns with Circle Threshold
477
Face Recognition Under Varying Illumination Based on Ordinal Features
478
Face recognition under varying illumination using adaptive filtering
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Face Recognition Under Varying Illumination Using Gradientfaces
480
Face Recognition under Varying Illumination with Logarithmic Fractal Analysis
481
Face Recognition under Varying Lighting Based on the Probabilistic Model of Gabor Phase
482
Face recognition under varying lighting conditions using self quotient image
483
Face recognition under varying pose
484
Face Recognition Using (2D)^2PCA and Wavelet Packet Decomposition
485
Face recognition using 1DLBP, DWT and SVM
486
Face Recognition using 2.5D Shape Information
487
Face Recognition Using 2-D, 3-D, and Infrared: Is Multimodal Better Than Multisample?
488
Face recognition using 2DGabor mean values and local features fusion
489
Face recognition using 2DLDA algorithm
490
Face Recognition Using 3D Directional Corner Points
491
Face Recognition Using 3D Head Scan Data Based on Procrustes Distance
492
Face Recognition using 3D Line Edge Map Robust to Expression Changes and Occlusions
493
Face recognition using 3D local geometrical features: PCA vs. SVM
494
Face Recognition Using 3-D Models: Pose and Illumination
495
Face Recognition using 3D Summation Invariant Features
496
Face Recognition using a Cognitive Processing Model
497
Face Recognition Using a Color Subspace LDA Approach
498
Face recognition using a color tensor framework
499
Face recognition using a DCT-HMM approach
500
Face recognition using a digital neural network with self-organising capabilities
501
Face Recognition using a Fast Model Synthesis from a Profile and a Frontal View
502
Face recognition using a fourier polar based approach
503
Face recognition using a fuzzy-Gaussian neural network
504
Face Recognition Using a Gabor Filter Bank Approach
505
Face Recognition Using a Hybrid General Backpropagation Neural Network
506
Face recognition using a hybrid model
507
Face recognition using a hybrid supervised/unsupervised neural network
508
Face recognition using a modified line segment hausdorff distance
509
Face Recognition Using a Multilinear Framework
510
Face Recognition Using a Multi-manifold Discriminant Analysis Method
511
Face recognition using a new distance metric
512
Face recognition using a new feature selection method
513
Face recognition using a pictorial-edit distance
514
Face Recognition Using A Radial Basis Function Classifier
515
Face recognition using a similarity-based measure in image database for crime investigation
516
Face Recognition Using a Time-of-Flight Camera
517
Face recognition using AAM and global shape features
518
Face recognition using Active Appearance Model
519
Face Recognition Using Active Illumination Equalization and Mirror Image Superposition as Pre-processing Techniques
520
Face recognition using Ada-Boosted Gabor features
521
Face recognition using adaptive filter wavelet transform based feature extraction
522
Face recognition using adaptive resonance theory
523
Face recognition using affine dense SURF-like descriptors
524
Face Recognition Using Affine Subspace Nearest Points Approach
525
Face recognition using an enhanced age simulation method
526
Face Recognition Using an Enhanced Independent Component Analysis Approach
527
Face Recognition Using Angular LDA and SVM Ensembles
528
Face recognition using anisotropic dual-tree complex wavelet packets
529
Face recognition using artificial neural network group-based adaptive tolerance (GAT) trees
530
Face recognition using artificial neural networks
531
Face recognition using assembled matrix distance metric based 2DLDA algorithm
532
Face recognition using augmented local binary pattern and Bray Curtis dissimilarity metric
533
Face recognition using average example image
534
Face recognition using average invariant factor
535
Face recognition using back propagation neural network technique
536
Face Recognition using Bank of Gabor Filters
537
Face recognition using Bidirectional Principal Component Analysis and wavelet transform
538
Face recognition using binary image metrics
539
Face recognition using binary thresholding for features extraction
540
Face Recognition Using Boosted Regularized Linear Discriminant Analysis
541
Face Recognition Using Both Geometric Features and PCA/LDA
542
Face recognition using circularly orthogonal moments and Radial Basis Function Neural Network & Genetic Algorithm
543
Face Recognition Using Class Specific Space Model
544
Face Recognition Using Combination of Wavelet Packets, PCA and LDA
545
Face recognition using combined non-negative principal component analysis and linear discriminant analysis
546
Face recognition using common matrix approach
547
Face recognition using Complete Fuzzy LDA
548
Face recognition using computer-generated database
549
Face Recognition Using Constrained Active Appearance Model
550
Face recognition using contourlet-based features and hybrid PSO-neural model
551
Face recognition using Co-occurrence Histograms of Oriented Gradients
552
Face Recognition Using Cubic B-Spline Wavelet Transform
553
Face recognition using curvature Gabor features
554
Face recognition using curvelet and selective PCA
555
Face recognition using curvelet based PCA
556
Face recognition using curvilinear component analysis
557
Face Recognition Using DCT and Hybrid Flexible Neural Tree
558
Face recognition using DCT-based feature vectors
559
Face recognition using Deep PCA
560
Face Recognition Using Diagonal 2D Linear Discriminant Analysis
561
Face recognition using different surveillance cameras
562
Face recognition using direct LPP algorithm
563
Face recognition using discrete cosine transform and fisher linear discriminant
564
Face recognition using discrete cosine transform for global and local features
565
Face Recognition Using Discrete Tchebichef-Krawtchouk Transform
566
Face recognition using discrete wavelet graph
567
Face recognition using discriminant eigenvectors
568
Face Recognition using Discriminatively Trained Orthogonal Rank One Tensor Projections
569
Face recognition using distributed, mobile computing
570
Face recognition using DT-CWT and LBP features
571
Face recognition using DT-CWT feature-based 2DIFDA
572
Face Recognition Using DT-CWT Feature-Based 2DPCA
573
Face Recognition Using Dual Difference Regression Classification
574
Face Recognition using Dual Wavelet Transform and Filter-Transformed Flipping
575
Face Recognition using Dual-Tree Wavelet Transform
576
Face Recognition Using Dual-Tree
Complex Wavelet Features
577
Face recognition using DWT and eigenvectors
578
Face recognition using early biologically inspired features
579
Face recognition using Eccentricity-Range based Background Removal and Multi-Scaled Fusion as pre-processing techniques
580
Face recognition using Eigenfaces
581
Face recognition using eigenfaces
582
Face recognition using eigen-faces, fisher-faces and neural networks
583
Face recognition using Eigenfaces-Fisher Linear Discriminant and Dynamic Fuzzy Neural Network
584
Face recognition using Elastic bunch graph matching
585
Face Recognition using Energy Probability in DCT Domain
586
Face recognition using enhanced energy of Discrete Wavelet Transform
587
Face Recognition Using Enhanced Fisher Linear Discriminant
588
Face recognition using enhanced linear discriminant analysis
589
Face Recognition Using Ensemble String Matching
590
Face recognition using ensembles of networks
591
Face recognition using entropy based feature enhancement and Parallel Dual Pose testing
592
Face recognition using Entropy Weighted Patch PCA Array under variation of lighting conditions from a single sample image per person
593
Face recognition using entropy-augmented face isolation and image folding as pre-processing techniques
594
Face recognition using Euler Principal Component Analysis
595
Face recognition using extended Fisherface with 3D morphable model
596
Face recognition using extended isomap
597
Face recognition using extended local binary patterns and fuzzy information fusion
598
Face recognition using eyes, nostrils and mouth features
599
Face Recognition Using Face Patch Networks
600
Face recognition using face-ARG matching
601
Face Recognition Using FastICA Algorithm
602
Face recognition using feature combination and improved LDA
603
Face recognition using feature extraction based on descriptive statistics of a face image
604
Face recognition using feature extraction based on independent component analysis
605
Face Recognition using Feature of Integral Gabor-Haar Transformation
606
Face recognition using feature optimization and ν-support vector learning
607
Face recognition using Fisherface algorithm and elastic graph matching
608
Face recognition using fractal codes
609
Face recognition using fuzzy Integral and wavelet decomposition method
610
Face recognition using fuzzy rough set and support vector machine
611
Face recognition using Gabor Filters
612
Face recognition using Gabor filters, PCA and neural networks
613
Face recognition using Gabor Wavelet and Non-negative Matrix Factorization
614
Face Recognition Using Gabor Wavelet and Self-Adaptive Intelligent Single Particle Optimizer
615
Face Recognition Using Gabor Wavelets
616
Face Recognition using Gaborface-based 2DPCA and (2D)2PCA Classification with Ensemble and Multichannel Model
617
Face recognition using Gabor-Feature-based DFT shifting
618
Face recognition using gender information
619
Face Recognition Using Generalized Pseudo-Zernike Moment
620
Face recognition using generalized self organising map based on PCNN features
621
Face recognition using genetic algorithm based template matching
622
Face recognition using global and local Gabor features
623
Face recognition using gradient based local feature matching
624
Face Recognition using Groups of Images in Smart Room Scenarios
625
Face Recognition Using Hidden Conditional Random Fields and Support Vector Machine
626
Face Recognition using Hidden Markov Eigenface Models
627
Face Recognition Using Hierarchical Isomap
628
Face recognition using Histogram of co-occurrence Gabor phase patterns
629
Face recognition using HMAX method for feature extraction and support vector machine classifier
630
Face recognition using Hog feature and group sparse coding
631
Face recognition using Homomorphic Filtering as a pre-processing technique
632
Face recognition using hybrid classifier systems
633
Face recognition using hybrid feature
634
Face recognition using illumination invariant features in contourlet domain
635
Face recognition using illumination-invariant local patches
636
Face Recognition Using Improved Fast PCA Algorithm
637
Face recognition using improved local texture patterns
638
Face recognition using improved pairwise coupling support vector machines
639
Face recognition using improved principal component analysis
640
Face Recognition Using Incremental Principal Components Analysis
641
Face Recognition using independent component analysis of GaborJet (GaborJet-ICA)
642
Face recognition using integrated Discrete Cosine Transform and Kernel Fisher Discriminant Analysis
643
Face recognition using interpolated Bezier curve based representation
644
Face recognition using IPCA-ICA algorithm
645
Face recognition using kernel based fisher discriminant analysis
646
Face recognition using kernel collaborative representation and multiscale local binary patterns
647
Face recognition using kernel direct discriminant analysis algorithms
648
Face recognition using kernel eigenfaces
649
Face recognition using Kernel Fisher´s Discriminant Analysis and nearest neighbor
650
Face Recognition Using Kernel Nearest Feature Classifiers
651
Face Recognition Using Kernel PCA and Hierarchical RBF Network
652
Face recognition using Kernel PCA and hybrid flexible neural tree
653
Face recognition using kernel principal component analysis
654
Face recognition using kernel principal component analysis and genetic algorithms
655
Face Recognition Using Kernel Ridge Regression
656
Face recognition using kernel scatter-difference-based discriminant analysis
657
Face recognition using Kernel-based Fisher Discriminant Analysis
658
Face Recognition Using Kernel-Based NPE
659
Face recognition using KFD-Isomap
660
Face recognition using landmark-based bidimensional regression
661
Face Recognition using Laplacian+OPRA-faces
662
Face recognition using Laplacianfaces
663
Face Recognition using Layered Linear Discriminant Analysis and Small Subspace
664
Face recognition using LBP for personal image management system and its analysis
665
Face recognition using LDA mixture model
666
Face recognition using LDA-based algorithms
667
Face recognition using line edge map
668
Face Recognition Using Local Binary Decisions
669
Face recognition using local features by LPP approach
670
Face Recognition Using Local Gabor Phase Characteristics
671
Face recognition using local geometrical features - PCA with euclidean classifier
672
Face recognition using local graph theory (LGT)
673
Face recognition using local multi dimensional statistics
674
Face recognition using Local Quaternion Patters and Weighted Spatially constrained Earth Mover´s Distance
675
Face recognition using local statistics of gradients and correlations
676
Face Recognition Using Local Ternary Pattern and Booth´s Algorithm
677
Face Recognition Using Marginal Discriminant Linear Local Tangent Space Alignment
678
Face Recognition Using Marginal Manifold Learning and SVM
679
Face Recognition Using Markov Stationary Features and Vector Quantization Histogram
680
Face recognition using maximum local Fisher Discriminant Analysis
681
Face recognition using MB-LBP and PCA: A comparative study
682
Face recognition using mixture-distance and raw images
683
Face recognition using mixtures of principal components
684
Face recognition using m-MSD and SVD with single training image
685
Face Recognition Using Modular Independent Component Analysis Directly Based on Image Matrix
686
Face Recognition Using Modular Locality Preserving Projections
687
Face recognition using modular Neural Networks
688
Face recognition using modular neural networks and fuzzy Sugeno integral for response integration
689
FACE RECOGNITION USING MODULAR PRINCIPAL COMPONENT ANALYSIS AND SUPPORT VECTOR MACHINES
690
Face Recognition using morphological method
691
Face Recognition Using Most Discriminative Local and Global Features
692
Face Recognition using Multi-class BSVM with Component Features
693
Face recognition using multi-lag directional local correlations
694
Face recognition using Multi-modal Binary Patterns
695
Face recognition using multimodal biometric features
696
Face Recognition Using Multiple Classifiers
697
Face recognition using multiple image view line segments
698
Face recognition using multiple interest point detectors and SIFT descriptors
699
Face recognition using multiple recognizers
700
Face recognition using multiple rigid regions matching
701
Face Recognition using Multiresolution PCA
702
Face Recognition Using Multi-Resolution Transform
703
Face Recognition Using Multiscale and Spatially Enhanced Weber Law Descriptor
704
Face Recognition Using Multiscale Gabor Wavelet
705
Face recognition using multi-scale local phase quantisation and Linear Regression Classifier
706
Face recognition using multi-scale PCA and Support Vector Machine
707
Face recognition using multispectral random field texture models, color content, and biometric features
708
Face Recognition Using Nearest Feature Space Embedding
709
Face recognition using neural networks
710
Face recognition using neural networks
711
Face Recognition using new image representations
712
Face recognition using non-linear image reconstruction
713
Face Recognition Using Nonlinear Regression
714
Face recognition using OPRA-faces
715
Face recognition using optimal non-orthogonal wavelet basis evaluated by information complexity
716
Face Recognition Using Optimum-Path Forest Local Analysis
717
Face recognition using Oriented Laplacian of Gaussian (OLOG) and Independent Component Analysis (ICA)
718
Face recognition using original and symmetrical face images
719
Face recognition using ortho-diffusion bases
720
Face recognition using orthogonal transform coefficients of hyperspectral face images
721
Face recognition using Parallel Associative Memory
722
Face recognition using Partitioned Iterated Function System
723
Face Recognition using Patch-based Spin Images
724
Face Recognition Using PCA and DCT
725
Face Recognition Using PCA and LDA Algorithm
726
Face recognition using PCA and LDA: Analysis and comparison
727
Face recognition using PCA and SVM
728
Face recognition using PCA based immune networks with single training sample per person
729
Face Recognition using PCA on Enhanced Image for Single Training Images
730
Face recognition using PCA on FPGA based embedded platform
731
Face Recognition using PCA versus ICA versus LDA cascaded with the neural classifier of Concurrent Self-Organizing Maps
732
Face recognition using PCA with GNP-fuzzy data mining
733
Face recognition using PCA-based method
734
Face recognition using phase-based correspondence matching
735
Face recognition using Principal Component Analysis
736
Face Recognition Using Principal Component Analysis and RBF Neural Networks
737
Face recognition using principal component analysis and self organizing maps
738
Face recognition using principal component analysis of Gabor filter responses
739
Face recognition using Principle Component Analysis and Linear Discriminant Analysis
740
Face Recognition Using Principle Component Analysis, Eigenface and Neural Network
741
Face recognition using probabilistic neural networks
742
Face Recognition Using Pseudo-2D Ergodic HMM
743
Face recognition using radial basis function (RBF) neural networks
744
Face recognition using Radon transform
745
Face recognition using range images
746
Face Recognition Using Recursive Cluster-Based Linear Discriminant
747
Face recognition using recursive Fisher linear discriminant
748
Face recognition using recursive Fisher linear discriminant
749
Face recognition using recursive Fisher linear discriminant with Gabor wavelet coding
750
Face recognition using regularised generalised discriminant locality preserving projections
751
Face recognition using reinforcement learning
752
Face Recognition Using Scale Invariant Feature Transform and Support Vector Machine
753
Face recognition using self-organizing feature maps and support vector machines
754
Face Recognition using Self-Organizing Map and Principal Component Analysis
755
Face recognition using semi-supervised spectral feature selection
756
Face Recognition Using Separate Layers of the RGB Image
757
Face recognition using shading-based curvature attributes
758
Face recognition using shape and texture
759
Face recognition using Shearlets
760
Face recognition using SIFT and binary PSO descriptors
761
Face recognition using SIFT descriptors extracted from multiresolution images
762
Face recognition using sift features
763
Face recognition using Som Neural Network with Ddct facial feature extraction techniques
764
Face Recognition Using Sparse Approximated Nearest Points between Image Sets
765
Face recognition using sparse feature sphere centroid classifier
766
Face recognition using sparse representation with illumination normalization and component features
767
Face recognition using spatial pyramid matching and LRBP
768
Face Recognition Using Spatially Constrained Earth Mover´s Distance
769
Face recognition using special neural networks
770
Face Recognition Using State Space Parameters and Artificial Neural Network Classifier
771
Face Recognition Using State Space Parameters and K-NN Classifier
772
Face recognition using statistical models
773
Face Recognition using Sub-Holistic PCA
774
Face recognition using subspaces techniques
775
Face recognition using Support Vector Machine and multiscale directional image representation methods: A comparative study
776
Face recognition using support vector machines and generalized discriminant analysis
777
Face recognition using support vector machines with the robust feature
778
Face recognition using surface features in XYI space
779
Face recognition using survival exponential entropy: Based on Markov Random Field modeling
780
Face recognition using SVM decomposition methods
781
Face recognition using synthesized intermediate views
782
Face recognition using temporal image sequence
783
Face recognition using the classified appearance-based quotient image
784
Face Recognition Using the Improved Bag of Words Model
785
Face recognition using the nearest feature line method
786
Face recognition using the wavelet approximation coefficients and fisher´s linear discriminant
787
Face recognition using the Wavelet tree and two-dimensional PCA
788
Face recognition using the Weber Local Descriptor
789
Face recognition using the weighted fractal neighbor distance
790
Face recognition using thermal infrared images for Human-Robot Interaction applications: A comparative study
791
Face Recognition Using Topology Preserving Nonnegative Matrix Factorization
792
Face Recognition Using Total Margin-Based Adaptive Fuzzy Support Vector Machines
793
Face recognition using two different 3D sensors
794
Face recognition using two novel nearest neighbor classifiers
795
Face Recognition Using Two-Dimensional Discriminant Locality Preserving Projections
796
Face Recognition Using Two-Dimensional Tunable-Q Wavelet Transform
797
Face recognition using user specific features
798
Face recognition using variance weightiness LBP based on single training image per person
799
Face recognition using vector quantization conebook space information processing
800
Face recognition using vector quantization histogram method
801
Face recognition using virtual parametric eigenspace signatures
802
Face recognition using voting technique for the Gabor and LDP features
803
Face Recognition using Wavelet filtering and Dual Pose testing
804
Face recognition using wavelet packets decomposition and Hopfield neural network
805
Face recognition using wavelet transform and Kernel Principal Component Analysis
806
Face Recognition Using Wavelet Transform and Locally Discriminating Projection
807
Face recognition using wavelet transform, fast Fourier transform and discrete cosine transform
808
Face recognition using wavelet transforms-based feature extraction and spatial differentiation-based pre-processing
809
Face recognition using wavelets and fuzzy C-means clustering
810
Face recognition using weighted distance transform
811
Face Recognition Using Weighted Pairwise Fuzzy Fisherface Method
812
Face recognition vendor test 2002
813
Face recognition via adaptive discriminant clustering
814
Face recognition via adaptive sparse representations of random patches
815
Face Recognition via Archetype Hull Ranking
816
Face recognition via discriminative atom decomposition and linear subspace learning
817
Face recognition via discriminative dictionary learning
818
Face recognition via gradient projection for sparse representation
819
Face recognition via local sparse coding
820
Face recognition via robust face representation and compressive sensing
821
Face recognition via semi-supervised discriminant local analysis
822
Face Recognition via Spatial-PLSA
823
Face recognition via statistical codebook modeling and matching
824
Face Recognition Vs Image Resolution
825
Face Recognition With 3 Dimensional Profile by using Iterative Closest Point Algorithm
826
Face recognition with 3D real-time face imaging system based on LOGMAP
827
Face recognition with a novel image representation: Local Walsh-Hadamard Transform
828
Face Recognition With an Improved Interval Type-2 Fuzzy Logic Sugeno Integral and Modular Neural Networks
829
Face recognition with biometric encryption for privacy-enhancing self-exclusion
830
Face recognition with consideration of aging
831
Face recognition with contiguous occlusion based on image segmentation
832
Face recognition with contiguous occlusion using markov random fields
833
Face recognition with continuous occlusion using partially iteratively reweighted sparse coding
834
Face Recognition with Discrete Cosine Transform
835
Face recognition with discriminant locality preserving projections in complete kernel space
836
Face recognition with DWT and Two-dimensional Principal Component Analysis
837
Face recognition with eigenfaces
838
Face recognition with enhanced local gabor binary pattern from human fixations
839
Face recognition with enhanced privacy protection
840
Face Recognition with Environment Tolerance on a Mobile Device
841
Face recognition with expression variation via robust NCC
842
Face recognition with illumination distinction description
843
Face recognition with image sets using hierarchically extracted exemplars from appearance manifolds
844
Face Recognition With Image Sets Using Locally Grassmannian Discriminant Analysis
845
Face recognition with image sets using manifold density divergence
846
Face recognition with info-margin maximization
847
Face Recognition with Kernel Correlation Filters on a Large Scale Database
848
Face recognition with kernel sparse representation on Gabor features
849
Face recognition with learning-based descriptor
850
Face recognition with Linear Discriminant Analysis and neural networks
851
Face recognition with liveness detection using eye and mouth movement
852
Face Recognition with Local Binary Patterns, Spatial Pyramid Histograms and Naive Bayes Nearest Neighbor Classification
853
Face recognition with local feature patterns and histogram spatially constrained Earth Mover´s Distance
854
Face recognition with Local Gradient Derivative Patterns
855
Face Recognition with Local Line Binary Pattern
856
Face recognition with Local Walsh-Hadamard Transform around landmarks
857
Face recognition with Locality Sensitive Discriminant Analysis based on matrix representation
858
Face Recognition with Locally Linear Embedding on Local Binary Patterns
859
Face recognition with manifold-based kernel discriminant analysis
860
Face recognition with MRC-boosting
861
Face Recognition with Multi-feature Joint Representation
862
Face recognition with multimodal subspace analysis
863
Face Recognition with Multiscale Data Fusion of Visible and Thermal Images
864
Face recognition with Neighboring Discriminant Analysis
865
Face recognition with occlusion
866
Face recognition with occlusion using Dynamic Image-to-Class Warping (DICW)
867
Face recognition with occlusions in the training and testing sets
868
Face Recognition with Only One Training Sample
869
Face recognition with radial basis function (RBF) neural networks
870
Face Recognition with Relative Difference Space and SVM
871
Face recognition with renewable and privacy preserving binary templates
872
Face recognition with salient local gradient orientation binary patterns
873
Face Recognition with Single Training Image per Person Based on Wavelet Transform and Virtual Information
874
Face recognition with single training sample based on fuzzy decision and MSD
875
Face Recognition with Single Training Sample Based on Local Feature Fusion
876
Face Recognition with Single Training Sample per Person Using Sparse Representation
877
Face recognition with small and large size databases
878
Face recognition with statistical Local Binary Patterns
879
Face Recognition with Statistical Local Line Binary Pattern
880
Face recognition with supervised spectral regression and multiple kernel SVM
881
Face recognition with support vector machine
882
Face recognition with support vector machines: global versus component-based approach
883
Face recognition with temporal invariance: A 3D aging model
884
Face recognition with the robust feature extracted by the generalized Foley-Sammon transform
885
Face recognition with varying facial expression using local directional number pattern
886
Face Recognition with Weighted Kernel Principal Component Analysis
887
Face recognition with weighted locally linear embedding
888
Face recognition/detection by probabilistic decision-based neural network
889
Face recognition: a convolutional neural-network approach
890
Face recognition: a facial action reconstruction and ICA representation approach
891
Face Recognition: A Fourier Transform and SVD Based Approach
892
Face recognition: A holistic approach review
893
Face recognition: A multivariate mutual information based approach
894
Face recognition: a review and comparison of HMM, PCA, ICA and neural networks
895
Face recognition: A Sparse Representation-based Classification using Independent Component Analysis
896
Face recognition: A template based approach
897
Face recognition: challenges, achievements and future directions
898
Face recognition: combining cognitive psychology and image engineering
899
Face recognition: Comparative study between linear and non linear dimensionality reduction methods
900
Face recognition: eigenface, elastic matching, and neural nets
901
Face recognition: elastic relation encoding and structural matching
902
Face recognition: features versus templates
903
Face recognition: handling data misalignments implicitly by fusion of sparse representations
904
Face recognition: Impostor-based measures of uniqueness and quality
905
Face recognition: reduced image Eigenfaces method
906
Face recognition: Some challenges in forensics
907
Face recognition: the problem of compensating for changes in illumination direction
908
Face recognition: using neural spatial-temporal segmentation to extract face features and perform feature geometry comparison
909
Face recognition: using principal components and independent components
910
Face Recognition-Based Convergence Communicator with Internet Telephony
911
Face recognition-based IMDB plug-in for movies
912
Face recognizability evaluation for ATM applications with exceptional occlusion handling
913
Face recogntion in open world environment
914
Face reconstruction and recognition using a statistical model combining shape and spherical harmonics
915
Face Reconstruction Based on Camera-Projector System
916
Face reconstruction from a small number of feature points
917
Face Reconstruction from Skull Based on Partial Least Squares Regression
918
Face reconstruction in the wild
919
Face reconstruction using fixation positions and foveated imaging
920
Face reconstruction with a morphable face model
921
Face Reconstruction with Low Resolution Facial Images by Feature Vector Projection in Kernel Space
922
Face recovery in conference video streaming using robust principal component analysis
923
Face Region Based Conversational Video Coding
924
Face registration and feature localization on depth data
925
Face related features in consumer electronic (CE) device environments
926
Face relighting for face recognition under generic illumination
927
Face Relighting from a Single Image under Arbitrary Unknown Lighting Conditions
928
Face Re-Lighting from a Single Image under Harsh Lighting Conditions
929
Face relighting with radiance environment maps
930
Face representation and reconstruction under different illumination conditions
931
Face Representation By Using Non-tensor Product Wavelets
932
Face representation under different illumination conditions
933
Face representation using hierarchical model
934
Face retrieval by an adaptive Mahalanobis distance using a confidence factor
935
Face Retrieval on Large-Scale Video Data
936
Face retrieval using 1st- and 2nd-order PCA mixture model
937
Face retriever: Pre-filtering the gallery via deep neural net
938
Face robot-toward realtime-rich facial expressions
939
Face saliency in various human visual saliency models
940
Face segmentation algorithm based on ASM
941
Face segmentation and facial feature tracking for videophone applications
942
Face segmentation based on Hue-Cr components and morphological technique
943
Face segmentation in head-and-shoulder video sequences based on facial saliency map
944
Face Segmentation under Unconstrained Scenes
945
Face segmentation using combined bottom-up and top-down saliency maps
946
Face segmentation using fuzzy reasoning
947
Face segmentation using skin-color map in videophone applications
948
Face segmentation: A comparison between visible and thermal images
949
Face sequence recognition using Grassmann Distances and Grassmann Kernels
950
Face Set Classification using Maximally Probable Mutual Modes
951
Face shape classification from 3D human data by using SVM
952
Face shape extraction and recognition using 3D morphing and distance mapping
953
Face Shape Reconstruction from Image Sequence Taken with Monocular Camera using Shape Database
954
Face shape recovery from a single image using CCA mapping between tensor spaces
955
Face similarity space as perceived by humans and artificial systems
956
Face Sketch Landmarks Localization in the Wild
957
Face Sketch Multiple Features Detection Using Simultaneously Shape and Landmark Movement
958
Face sketch recognition
959
Face sketch recognition by Local Radon Binary Pattern: LRBP
960
Face Sketch Recognition from Local Features
961
Face sketch recognition using local invariant features
962
Face Sketch Synthesis Algorithm Based on E-HMM and Selective Ensemble
963
Face sketch synthesis and recognition
964
Face Sketch Synthesis using E-HMM and Selective Ensemble
965
Face sketch synthesis using non-local means and patch-based seaming
966
Face Sketch Synthesis via Sparse Representation
967
Face Sketch Synthesis via Sparse Representation-Based Greedy Search
968
Face Sketch–Photo Synthesis and Retrieval Using Sparse Representation
969
Face sketch-photo synthesis based on support vector regression
970
Face Sketch-Photo Synthesis under Multi-dictionary Sparse Representation Framework
971
Face sketch-to-photo synthesis from simple line drawing
972
Face Spoof Detection With Image Distortion Analysis
973
Face Spoofing Detection Based on Improved Local Graph Structure
974
Face Spoofing Detection Based on Multiple Descriptor Fusion Using Multiscale Dynamic Binarized Statistical Image Features
975
Face spoofing detection from single images using micro-texture analysis
976
Face spoofing detection from single images using texture and local shape analysis
977
Face spoofing detection through partial least squares and low-level descriptors
978
Face Spoofing Detection Through Visual Codebooks of Spectral Temporal Cubes
979
Face spoofing detection using local binary patterns and Fisher Score
980
Face stereo matching and disparity calculation in binocular vision system
981
Face Super Resolution by Patch-Based Sparse Coding
982
Face super-resolution based on singular value decomposition
983
Face super-resolution reconstruction and recognition from low-resolution image sequences
984
Face super-resolution using 8-connected Markov Random Fields with embedded prior
985
Face super-resolution using a hybrid model
986
Face super-resolution using multiple occluded images of different resolutions
987
Face Super-Resolution via Multilayer Locality-Constrained Iterative Neighbor Embedding and Intermediate Dictionary Learning
988
Face super-resolution via semi-kernel partial least squares and dictionaries coding
989
Face surveillance
990
Face Swapping under Large Pose Variations: A 3D Model Based Approach
991
Face synthesis and recognition from a single image under arbitrary unknown lighting using a spherical harmonic basis morphable model
992
Face synthesis from a frontal pose image using partial least squares and b-splines
993
Face synthesis from near-infrared to visual light spectrum using quotient image and kernel-based multifactor analysis
994
Face synthesis from near-infrared to visual light via sparse representation
995
Face synthesis using Facial Trait Code and its application to creating suspect´s physical profiles
996
Face system evaluation toolkit: Recognition is harder than it seems
997
Face template creation: Is Centroid Method a suitable approach?
998
Face template protection using chaotic encryption
999
Face the Enemy: Attack Detection for Planar Graph Routing
1000
Face the FACS
