ML Anthology

Discriminant Mutual Subspace Learning for Indoor and Outdoor Face Recognition

Zhifeng Li, Dahua Lin, Helen M. Meng, Xiaoou Tang
CVPR 2007
doi:10.1109/CVPR.2007.383104 /cvpr/2007/li2007cvpr-discriminant/

Abstract

Outdoor face recognition is among the most challenging problems for face recognition. In this paper, we develop a discriminant mutual subspace learning algorithm for indoor and outdoor face recognition. Unlike traditional algorithms using one subspace to model both indoor and outdoor face images, our algorithm simultaneously learn two related subspaces for indoor and outdoor images respectively thus can better model both. To further improve the recognition performance we develop a DMSL-based multi-classifier fusion framework on Gabor images using a new fusion method called adaptive informative fusion scheme. Experimental results clearly show that this framework can greatly enhance the recognition performance.

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Cite

Text

Li et al. "Discriminant Mutual Subspace Learning for Indoor and Outdoor Face Recognition." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2007. doi:10.1109/CVPR.2007.383104

Markdown

[Li et al. "Discriminant Mutual Subspace Learning for Indoor and Outdoor Face Recognition." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2007.](https://mlanthology.org/cvpr/2007/li2007cvpr-discriminant/) doi:10.1109/CVPR.2007.383104

BibTeX

@inproceedings{li2007cvpr-discriminant,
  title     = {{Discriminant Mutual Subspace Learning for Indoor and Outdoor Face Recognition}},
  author    = {Li, Zhifeng and Lin, Dahua and Meng, Helen M. and Tang, Xiaoou},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2007},
  doi       = {10.1109/CVPR.2007.383104},
  url       = {https://mlanthology.org/cvpr/2007/li2007cvpr-discriminant/}
}