Subspace Classification for Face Recognition
Abstract
This paper introduces a new subspace classification approach for face recognition. One or more MKL subspaces are created for each individual, starting from the feature vectors extracted through a bank of Gabor filters. The advantages of this method with respect to other well-know approaches are experimentally proved; in particular, our subspace approach effectively captures the intra-class variability, thus allowing to better discriminate between known and unknown faces.
Cite
Text
Cappelli et al. "Subspace Classification for Face Recognition." European Conference on Computer Vision, 2002. doi:10.1007/3-540-47917-1_14Markdown
[Cappelli et al. "Subspace Classification for Face Recognition." European Conference on Computer Vision, 2002.](https://mlanthology.org/eccv/2002/cappelli2002eccv-subspace/) doi:10.1007/3-540-47917-1_14BibTeX
@inproceedings{cappelli2002eccv-subspace,
title = {{Subspace Classification for Face Recognition}},
author = {Cappelli, Raffaele and Maio, Dario and Maltoni, Davide},
booktitle = {European Conference on Computer Vision},
year = {2002},
pages = {133-142},
doi = {10.1007/3-540-47917-1_14},
url = {https://mlanthology.org/eccv/2002/cappelli2002eccv-subspace/}
}