Dichromatic Model Based Temporal Color Constancy for AC Light Sources

Abstract

Existing dichromatic color constancy approach commonly requires a number of spatial pixels which have high specularity. In this paper, we propose a novel approach to estimate the illuminant chromaticity of AC light source using high-speed camera. We found that the temporal observations of an image pixel at a fixed location distribute on an identical dichromatic plane. Instead of spatial pixels with high specularity, multiple temporal samples of a pixel are exploited to determine AC pixels for dichromatic plane estimation, whose pixel intensity is sinusoidally varying well. A dichromatic plane is calculated per each AC pixel, and illuminant chromaticity is determined by the intersection of dichromatic planes. From multiple dichromatic planes, an optimal illuminant is estimated with a novel MAP framework. It is shown that the proposed method outperforms both existing dichromatic based methods and temporal color constancy methods, irrespective of the amount of specularity.

Cite

Text

Yoo and Kim. "Dichromatic Model Based Temporal Color Constancy for AC Light Sources." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2019. doi:10.1109/CVPR.2019.01261

Markdown

[Yoo and Kim. "Dichromatic Model Based Temporal Color Constancy for AC Light Sources." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2019.](https://mlanthology.org/cvpr/2019/yoo2019cvpr-dichromatic/) doi:10.1109/CVPR.2019.01261

BibTeX

@inproceedings{yoo2019cvpr-dichromatic,
  title     = {{Dichromatic Model Based Temporal Color Constancy for AC Light Sources}},
  author    = {Yoo, Jun-Sang and Kim, Jong-Ok},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2019},
  doi       = {10.1109/CVPR.2019.01261},
  url       = {https://mlanthology.org/cvpr/2019/yoo2019cvpr-dichromatic/}
}