Photometric Surface Analysis in a Tri-Luminal Environment
Abstract
Methods for the analysis of images of the same scene taken under three different lighting conditions are illustrated. A technique that separates the effects of geometry and surface coloration/texture in this "tri-luminal" environment is developed and experimental results are shown. Exploiting this technique to isolate geometric information, two methods which extract differential geometric properties of surfaces (the sign of Gaussian curvature and its magnitude to within a multiplicative factor) directly from tri-luminal photometric data are derived and demonstrated.
Cite
Text
Angelopoulou and Williams. "Photometric Surface Analysis in a Tri-Luminal Environment." IEEE/CVF International Conference on Computer Vision, 1999. doi:10.1109/ICCV.1999.791254Markdown
[Angelopoulou and Williams. "Photometric Surface Analysis in a Tri-Luminal Environment." IEEE/CVF International Conference on Computer Vision, 1999.](https://mlanthology.org/iccv/1999/angelopoulou1999iccv-photometric/) doi:10.1109/ICCV.1999.791254BibTeX
@inproceedings{angelopoulou1999iccv-photometric,
title = {{Photometric Surface Analysis in a Tri-Luminal Environment}},
author = {Angelopoulou, Elli and Williams, James P.},
booktitle = {IEEE/CVF International Conference on Computer Vision},
year = {1999},
pages = {442-449},
doi = {10.1109/ICCV.1999.791254},
url = {https://mlanthology.org/iccv/1999/angelopoulou1999iccv-photometric/}
}