ML Anthology

Separating Reflections in Human Iris Images for Illumination Estimation

Huiqiong Wang, Stephen Lin, Xiaopei Liu, Sing Bing Kang
ICCV 2005 pp. 1691-1698
doi:10.1109/ICCV.2005.215 /iccv/2005/wang2005iccv-separating/

Abstract

A method is presented for separating corneal reflections in an image of human irises to estimate illumination from the surrounding scene. Previous techniques for reflection separation have demonstrated success in only limited cases, such as for uniform colored lighting and simple object textures, so they are not applicable to irises which exhibit intricate textures and complicated reflections of the environment. To make this problem feasible, we present a method that capitalizes on physical characteristics of human irises to obtain an illumination estimate that encompasses the prominent light contributors in the scene. Results of this algorithm are presented for eyes of different colors, including light colored eyes for which reflection separation is necessary to determine a valid illumination estimate.

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Cite

Text

Wang et al. "Separating Reflections in Human Iris Images for Illumination Estimation." IEEE/CVF International Conference on Computer Vision, 2005. doi:10.1109/ICCV.2005.215

Markdown

[Wang et al. "Separating Reflections in Human Iris Images for Illumination Estimation." IEEE/CVF International Conference on Computer Vision, 2005.](https://mlanthology.org/iccv/2005/wang2005iccv-separating/) doi:10.1109/ICCV.2005.215

BibTeX

@inproceedings{wang2005iccv-separating,
  title     = {{Separating Reflections in Human Iris Images for Illumination Estimation}},
  author    = {Wang, Huiqiong and Lin, Stephen and Liu, Xiaopei and Kang, Sing Bing},
  booktitle = {IEEE/CVF International Conference on Computer Vision},
  year      = {2005},
  pages     = {1691-1698},
  doi       = {10.1109/ICCV.2005.215},
  url       = {https://mlanthology.org/iccv/2005/wang2005iccv-separating/}
}