ML Anthology

Shape Estimation in Natural Illumination

Micah K. Johnson, Edward H. Adelson
CVPR 2011 pp. 2553-2560
doi:10.1109/CVPR.2011.5995510 /cvpr/2011/johnson2011cvpr-shape/

Abstract

The traditional shape-from-shading problem, with a single light source and Lambertian reflectance, is challenging since the constraints implied by the illumination are not sufficient to specify local orientation. Photometric stereo algorithms, a variant of shape-from-shading, simplify the problem by controlling the illumination to obtain additional constraints. In this paper, we demonstrate that many natural lighting environments already have sufficient variability to constrain local shape. We describe a novel optimization scheme that exploits this variability to estimate surface normals from a single image of a diffuse object in natural illumination. We demonstrate the effectiveness of our method on both simulated and real images.

PDF CVPR Semantic Scholar

Cite

Text

Johnson and Adelson. "Shape Estimation in Natural Illumination." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2011. doi:10.1109/CVPR.2011.5995510

Markdown

[Johnson and Adelson. "Shape Estimation in Natural Illumination." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2011.](https://mlanthology.org/cvpr/2011/johnson2011cvpr-shape/) doi:10.1109/CVPR.2011.5995510

BibTeX

@inproceedings{johnson2011cvpr-shape,
  title     = {{Shape Estimation in Natural Illumination}},
  author    = {Johnson, Micah K. and Adelson, Edward H.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2011},
  pages     = {2553-2560},
  doi       = {10.1109/CVPR.2011.5995510},
  url       = {https://mlanthology.org/cvpr/2011/johnson2011cvpr-shape/}
}