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CVPR
2010
IEEE

Rapid Face Recognition Using Hashing

13 years 11 months ago
Rapid Face Recognition Using Hashing
We propose a face recognition approach based on hashing. The approach yields comparable recognition rates with the random 1 approach [18], which is considered the stateof-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 stateof-the-art.
Qinfeng Shi, Hanxi Li, Chunhua Shen
Added 04 May 2010
Updated 14 May 2010
Type Conference
Year 2010
Where CVPR
Authors Qinfeng Shi, Hanxi Li, Chunhua Shen
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