Comparative analysis of 3D face recognition algorithms using range image and curvature-based representations

Author

Tonchev, Krasimir ; Manolova, Agata ; Paliy, Ihor

Author_Institution

Fac. of Telecommun., Tech. Univ. of Sofia, Sofia, Bulgaria

Volume

01

fYear

2013

fDate

12-14 Sept. 2013

Firstpage

394

Lastpage

398

Abstract

In this paper we present a comparative analysis of two algorithms for image representation with application to recognition of 3D face scans with the presence of facial expressions. We begin with processing of the input point cloud based on curvature analysis and range image representation to achieve a unique representation of the face features. Then, subspace projection using Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) are performed. Finally classification with different classifiers will be performed.

Keywords

face recognition; image representation; principal component analysis; 3D face recognition algorithms; 3D face scans; LDA; PCA; curvature analysis; curvature-based representations; facial expressions; image representation; input point cloud; linear discriminant analysis; principal component analysis; range image representation; subspace projection; Face; Face recognition; Image representation; Principal component analysis; Support vector machines; Three-dimensional displays; Vectors; 3D Face Recognition; Curvature Analysis; Kernel SVM classifier; LDA; PCA; Range image representation; kNN;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Data Acquisition and Advanced Computing Systems (IDAACS), 2013 IEEE 7th International Conference on

Conference_Location

Berlin

Print_ISBN

978-1-4799-1426-5

Type

conf

DOI

10.1109/IDAACS.2013.6662714

Filename

6662714