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.2009.5457700Markdown
[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.2009.5457700BibTeX
@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/}
}