Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/64729
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Type: Conference paper
Title: Rapid face recognition using hashing
Author: Shi, Q.
Li, H.
Shen, C.
Citation: Proceedings of 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010; pp.2753-2760
Publisher: IEEE
Publisher Place: USA
Issue Date: 2010
ISBN: 9781424469840
ISSN: 1063-6919
Conference Name: IEEE Conference on Computer Vision and Pattern Recognition (23rd : 2010 : San Francisco, CA)
Statement of
Responsibility: 
Qinfeng Shi, Hanxi Li, Chunhua Shen
Abstract: We propose a face recognition approach based on hashing. The approach yields comparable recognition rates with the random ℓ1 approach, which is considered the state-of-the-art. But our method is much faster: it is up to 150 times faster than 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.
Rights: ©2010 IEEE
RMID: 0020105395
DOI: 10.1109/CVPR.2010.5540001
Appears in Collections:Computer Science publications

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