ML Anthology

Rapid Face Recognition Using Hashing

Qinfeng Shi, Hanxi Li, Chunhua Shen
CVPR 2010 pp. 2753-2760
doi:10.1109/CVPR.2010.5540001 /cvpr/2010/shi2010cvpr-rapid/

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.

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Cite

Text

Shi et al. "Rapid Face Recognition Using Hashing." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2010. doi:10.1109/CVPR.2010.5540001

Markdown

[Shi et al. "Rapid Face Recognition Using Hashing." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2010.](https://mlanthology.org/cvpr/2010/shi2010cvpr-rapid/) doi:10.1109/CVPR.2010.5540001

BibTeX

@inproceedings{shi2010cvpr-rapid,
  title     = {{Rapid Face Recognition Using Hashing}},
  author    = {Shi, Qinfeng and Li, Hanxi and Shen, Chunhua},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2010},
  pages     = {2753-2760},
  doi       = {10.1109/CVPR.2010.5540001},
  url       = {https://mlanthology.org/cvpr/2010/shi2010cvpr-rapid/}
}