Color Constancy, Intrinsic Images, and Shape Estimation
Abstract
We present SIRFS (shape, illumination, and reflectance from shading), the first unified model for recovering shape, chromatic illumination, and reflectance from a single image. Our model is an extension of our previous work [1], which addressed the achromatic version of this problem. Dealing with color requires a modified problem formulation, novel priors on reflectance and illumination, and a new optimization scheme for dealing with the resulting inference problem. Our approach outperforms all previously published algorithms for intrinsic image decomposition and shape-from-shading on the MIT intrinsic images dataset [1, 2] and on our own “naturally” illuminated version of that dataset.
Cite
Text
Barron and Malik. "Color Constancy, Intrinsic Images, and Shape Estimation." European Conference on Computer Vision, 2012. doi:10.1007/978-3-642-33765-9_5Markdown
[Barron and Malik. "Color Constancy, Intrinsic Images, and Shape Estimation." European Conference on Computer Vision, 2012.](https://mlanthology.org/eccv/2012/barron2012eccv-color/) doi:10.1007/978-3-642-33765-9_5BibTeX
@inproceedings{barron2012eccv-color,
title = {{Color Constancy, Intrinsic Images, and Shape Estimation}},
author = {Barron, Jonathan T. and Malik, Jitendra},
booktitle = {European Conference on Computer Vision},
year = {2012},
pages = {57-70},
doi = {10.1007/978-3-642-33765-9_5},
url = {https://mlanthology.org/eccv/2012/barron2012eccv-color/}
}