Title :
Face Sketch Synthesis Algorithm Based on E-HMM and Selective Ensemble
Author :
Gao, Xinbo ; Zhong, Juanjuan ; Li, Jie ; Tian, Chunna
Author_Institution :
Xidian Univ., Xi´´an
fDate :
4/1/2008 12:00:00 AM
Abstract :
Sketch synthesis plays an important role in face sketch-photo recognition system. In this manuscript, an automatic sketch synthesis algorithm is proposed based on embedded hidden Markov model (E-HMM) and selective ensemble strategy. First, the E-HMM is adopted to model the nonlinear relationship between a sketch and its corresponding photo. Then based on several learned models, a series of pseudo-sketches are generated for a given photo. Finally, these pseudo-sketches are fused together with selective ensemble strategy to synthesize a finer face pseudo-sketch. Experimental results illustrate that the proposed algorithm achieves satisfactory effect of sketch synthesis with a small set of face training samples.
Keywords :
face recognition; hidden Markov models; automatic face sketch synthesis algorithm; embedded hidden Markov model; face sketch-photo recognition system; selective ensemble strategy; E-HMM; Embedded hidden Markov model (E-HMM); pseudo-sketch; selective ensemble; sketch photo recognition; sketch synthesis; sketch-photo recognition;
Journal_Title :
Circuits and Systems for Video Technology, IEEE Transactions on
DOI :
10.1109/TCSVT.2008.918770