A Nonlinear Approach for Face Sketch Synthesis and Recognition

Authors:
Qingshan Liu;Xiaoou Tang;Hongliang Jin;Hanqing Lu;Songde Ma
Affiliations:
Chinese University of Hong Kong and Chinese Academy of Science;Chinese University of Hong Kong and Microsoft Research Asia;Chinese University of Hong Kong and Chinese Academy of Science;Chinese Academy of Science;Chinese Academy of Science
Venue:
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Year:
2005

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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.