PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Rapid Face Recognition Using Hashing
Q Shi, Hanxi Li and Chunhua Shen
In: Proc. IEEE Conf. Computer Vision and Pattern Recognition (CVPR), San Francisco, USA(2010).


We propose a face recognition approach based on hashing. The approach yields comparable recognition rates with the random l approach [18], which is considered the state-of-the-art. But our method is much faster: it is up to 150 times faster than [18] on the YaleB dataset. We show that with hashing, the sparse representation can be recovered with a high probability because hashing preserves the restrictive isometry property. Moreover, we present a theoretical analysis on the recognition rate of the proposed hashing approach. Experiments show a very competitive recognition rate and significant speedup compared with the state-of-the-art.

PDF - Requires Adobe Acrobat Reader or other PDF viewer.
EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Computational, Information-Theoretic Learning with Statistics
Machine Vision
ID Code:7331
Deposited By:Wray Buntine
Deposited On:17 March 2011