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https://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 |
Series/Report no.: | IEEE Conference on Computer Vision and Pattern Recognition |
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 |
DOI: | 10.1109/CVPR.2010.5540001 |
Published version: | http://dx.doi.org/10.1109/cvpr.2010.5540001 |
Appears in Collections: | Aurora harvest 5 Computer Science publications |
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