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_14

Markdown

[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_14

BibTeX

@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/}
}