ML Anthology

Shape and Albedo from Multiple Images Using Integrability

Alan L. Yuille, Daniel Snow
CVPR 1997 pp. 158-164
doi:10.1109/CVPR.1997.609314 /cvpr/1997/yuille1997cvpr-shape/

Abstract

Previous work has developed an approach for estimating shape and albedo from multiple images assuming Lambertian reflectance with single light sources. The main contributions of this paper are: (i) to show how the approach can be generalized to include ambient background illumination, (ii) to demonstrate the use of the integrability constraint for solving this problem, and (iii) an iterative algorithm which is able to improve the analysis by finding shadows and rejecting them.

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Cite

Text

Yuille and Snow. "Shape and Albedo from Multiple Images Using Integrability." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1997. doi:10.1109/CVPR.1997.609314

Markdown

[Yuille and Snow. "Shape and Albedo from Multiple Images Using Integrability." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1997.](https://mlanthology.org/cvpr/1997/yuille1997cvpr-shape/) doi:10.1109/CVPR.1997.609314

BibTeX

@inproceedings{yuille1997cvpr-shape,
  title     = {{Shape and Albedo from Multiple Images Using Integrability}},
  author    = {Yuille, Alan L. and Snow, Daniel},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1997},
  pages     = {158-164},
  doi       = {10.1109/CVPR.1997.609314},
  url       = {https://mlanthology.org/cvpr/1997/yuille1997cvpr-shape/}
}