DocumentCode
3549049
Title
A nonlinear approach for face sketch synthesis and recognition
Author
Liu, Qingshan ; Tang, Xiaoou ; Jin, Hongliang ; Lu, Hanqing ; Ma, Songde
Author_Institution
Dept. of Inf. Eng., Hong Kong Chinese Univ., China
Volume
1
fYear
2005
fDate
20-25 June 2005
Firstpage
1005
Abstract
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.
Keywords
computational geometry; face recognition; statistical analysis; face recognition system; face sketch recognition; face sketch synthesis; nonlinear discriminate analysis; photo-based face recognition; pseudosketch generation; pseudosketch synthesis; Databases; Face recognition; Geometry; Kernel; Laboratories; Linear discriminant analysis; Nearest neighbor searches; Nonlinear distortion; Pattern recognition; Probes;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on
ISSN
1063-6919
Print_ISBN
0-7695-2372-2
Type
conf
DOI
10.1109/CVPR.2005.39
Filename
1467376
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