Spectral Face Clustering

Abstract

Recognizing and clustering similar faces are important for organizing digital photos. We present a novel clustering method based on spectral clustering to group faces in a photo album. The main contribution is the proposal of a distance metric that is robust to outlier features present in the facial images.

Cite

Text

Palit et al. "Spectral Face Clustering." IEEE/CVF International Conference on Computer Vision Workshops, 2009. doi:10.1109/ICCVW.2009.5457700

Markdown

[Palit et al. "Spectral Face Clustering." IEEE/CVF International Conference on Computer Vision Workshops, 2009.](https://mlanthology.org/iccvw/2009/palit2009iccvw-spectral/) doi:10.1109/ICCVW.2009.5457700

BibTeX

@inproceedings{palit2009iccvw-spectral,
  title     = {{Spectral Face Clustering}},
  author    = {Palit, Biswaroop and Nigam, Rakesh and Perlmutter, Keren and Perlmutter, Sharon M.},
  booktitle = {IEEE/CVF International Conference on Computer Vision Workshops},
  year      = {2009},
  pages     = {186-191},
  doi       = {10.1109/ICCVW.2009.5457700},
  url       = {https://mlanthology.org/iccvw/2009/palit2009iccvw-spectral/}
}