ML Anthology

Multispectral Skin Color Modeling

Elli Angelopoulou, Rana Molana, Kostas Daniilidis
CVPR 2001 pp. II:635-642
doi:10.1109/CVPR.2001.991023 /cvpr/2001/angelopoulou2001cvpr-multispectral/

Abstract

The automated detection of humans in computer vision as well as the realistic rendering of people in computer graphics necessitates improved modeling of the human skin color. We describe the acquisition and modeling of skin reflectance data densely sampled over the entire visible spectrum. The data collected through a spectrograph allows us to explain skin color (and its variations) and to discriminate between human skin and dyes designed to mimic human skin. We study the approximation of these data using several sets of basis functions. Our study shows that skin reflectance data can best be approximated by a linear combination of Gaussians or their first derivatives. This result has a significant practical impact on optical acquisition devices: the entire visible spectrum of skin reflectance can now be captured with a few filters of optimally chosen central wavelengths and bandwidth.

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Cite

Text

Angelopoulou et al. "Multispectral Skin Color Modeling." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2001. doi:10.1109/CVPR.2001.991023

Markdown

[Angelopoulou et al. "Multispectral Skin Color Modeling." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2001.](https://mlanthology.org/cvpr/2001/angelopoulou2001cvpr-multispectral/) doi:10.1109/CVPR.2001.991023

BibTeX

@inproceedings{angelopoulou2001cvpr-multispectral,
  title     = {{Multispectral Skin Color Modeling}},
  author    = {Angelopoulou, Elli and Molana, Rana and Daniilidis, Kostas},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2001},
  pages     = {II:635-642},
  doi       = {10.1109/CVPR.2001.991023},
  url       = {https://mlanthology.org/cvpr/2001/angelopoulou2001cvpr-multispectral/}
}