ML Anthology

An Approach to Color Constancy Using Multiple Images

Masato Tsukada, Yuichi Ohta
ICCV 1990 pp. 385-389
doi:10.1109/ICCV.1990.139557 /iccv/1990/tsukada1990iccv-approach/

Abstract

A novel computational algorithm is proposed for color constancy suitable to robot vision. A robot, or a computer, can exactly memorize image information observed in the past. Then it is natural to use more than one image to achieve color constancy. In the algorithm, it is possible to recover the illumination color and the reflectance color only based on the RGB values of two objects identified on two images. It requires no specific assumption on the scene. Experiments show the validity of the proposed algorithm.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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Cite

Text

Tsukada and Ohta. "An Approach to Color Constancy Using Multiple Images." IEEE/CVF International Conference on Computer Vision, 1990. doi:10.1109/ICCV.1990.139557

Markdown

[Tsukada and Ohta. "An Approach to Color Constancy Using Multiple Images." IEEE/CVF International Conference on Computer Vision, 1990.](https://mlanthology.org/iccv/1990/tsukada1990iccv-approach/) doi:10.1109/ICCV.1990.139557

BibTeX

@inproceedings{tsukada1990iccv-approach,
  title     = {{An Approach to Color Constancy Using Multiple Images}},
  author    = {Tsukada, Masato and Ohta, Yuichi},
  booktitle = {IEEE/CVF International Conference on Computer Vision},
  year      = {1990},
  pages     = {385-389},
  doi       = {10.1109/ICCV.1990.139557},
  url       = {https://mlanthology.org/iccv/1990/tsukada1990iccv-approach/}
}