A Chromaticity Space for Specularity-, Illumination Color- and Illumination Pose-Invariant 3-D Object Recognition
Abstract
Most of the recent color recognition/indexing approaches concentrate on establishing invariance to illumination color to improve the utility of color recognition. However, other effects caused by illumination pose and specularity on three-dimensional object surfaces have not received notable attention. We present a chromaticity recognition method that discounts the effects of illumination pose, illumination color and specularity. It utilizes a chromaticity space based on log-ratio of sensor responses for illumination pose and color invariance. A model-based specularity detection/rejection algorithm can be used to improve the chromaticity recognition and illumination estimation for objects including specular reflections.
Cite
Text
Berwick and Lee. "A Chromaticity Space for Specularity-, Illumination Color- and Illumination Pose-Invariant 3-D Object Recognition." IEEE/CVF International Conference on Computer Vision, 1998. doi:10.1109/ICCV.1998.710714Markdown
[Berwick and Lee. "A Chromaticity Space for Specularity-, Illumination Color- and Illumination Pose-Invariant 3-D Object Recognition." IEEE/CVF International Conference on Computer Vision, 1998.](https://mlanthology.org/iccv/1998/berwick1998iccv-chromaticity/) doi:10.1109/ICCV.1998.710714BibTeX
@inproceedings{berwick1998iccv-chromaticity,
title = {{A Chromaticity Space for Specularity-, Illumination Color- and Illumination Pose-Invariant 3-D Object Recognition}},
author = {Berwick, Daniel and Lee, Sang Wook},
booktitle = {IEEE/CVF International Conference on Computer Vision},
year = {1998},
pages = {165-170},
doi = {10.1109/ICCV.1998.710714},
url = {https://mlanthology.org/iccv/1998/berwick1998iccv-chromaticity/}
}