ML Anthology

Detection, Analysis and Matching of Hair

Yaser Yacoob, Larry S. Davis
ICCV 2005 pp. 741-748
doi:10.1109/ICCV.2005.75 /iccv/2005/yacoob2005iccv-detection/

Abstract

We develop computational models for measuring hair appearance for comparing different people. The models and methods developed have applications to person recognition and face image indexing. An automatic hair detection algorithm is described and results reported. A multidimensional representation of hair appearance is presented and computational algorithms are described. Results on a dataset of 524 subjects are reported. Identification of people using hair attributes is compared to eigenface-based recognition along with a joint, eigenface-hair based identification.

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Cite

Text

Yacoob and Davis. "Detection, Analysis and Matching of Hair." IEEE/CVF International Conference on Computer Vision, 2005. doi:10.1109/ICCV.2005.75

Markdown

[Yacoob and Davis. "Detection, Analysis and Matching of Hair." IEEE/CVF International Conference on Computer Vision, 2005.](https://mlanthology.org/iccv/2005/yacoob2005iccv-detection/) doi:10.1109/ICCV.2005.75

BibTeX

@inproceedings{yacoob2005iccv-detection,
  title     = {{Detection, Analysis and Matching of Hair}},
  author    = {Yacoob, Yaser and Davis, Larry S.},
  booktitle = {IEEE/CVF International Conference on Computer Vision},
  year      = {2005},
  pages     = {741-748},
  doi       = {10.1109/ICCV.2005.75},
  url       = {https://mlanthology.org/iccv/2005/yacoob2005iccv-detection/}
}