A nonlinear approach for face sketch synthesis and recognition

Most face recognition systems focus on photo-based face recognition. In this paper, we present a face recognition system based on face sketches. The proposed system contains two elements: pseudo-sketch synthesis and sketch recognition. The pseudo-sketch generation method is based on local linear pre...

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Bibliographic Details
Published in2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) Vol. 1; pp. 1005 - 1010 vol. 1
Main Authors Qingshan Liu, Xiaoou Tang, Hongliang Jin, Hanqing Lu, Songde Ma
Format Conference Proceeding
LanguageEnglish
Published IEEE 2005
Subjects
Face recognition
Geometry
Kernel
Laboratories
Linear discriminant analysis
Nearest neighbor searches
Nonlinear distortion
Pattern recognition
Probes
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Summary:Most face recognition systems focus on photo-based face recognition. In this paper, we present a face recognition system based on face sketches. The proposed system contains two elements: pseudo-sketch synthesis and sketch recognition. The pseudo-sketch generation method is based on local linear preserving of geometry between photo and sketch images, which is inspired by the idea of locally linear embedding. The nonlinear discriminate analysis is used to recognize the probe sketch from the synthesized pseudo-sketches. Experimental results on over 600 photo-sketch pairs show that the performance of the proposed method is encouraging.
ISBN:0769523722
9780769523729
ISSN:1063-6919
1063-6919
DOI:10.1109/CVPR.2005.39