Towards Accurate Recovery of Shape from Shading Under Diffuse Lighting

Abstract

We present a surface radiance model for diffuse lighting that incorporates shadows, interreflections, and surface orientation. We show that, for smooth surfaces, the model is an excellent approximation of the radiosity equation. We present a new data structure and algorithm that uses this model to compute shape-from-shading under diffuse lighting. The algorithm was tested on both synthetic and real images, and performs more accurately than the only previous algorithm for this problem. Various causes of error are discussed, including approximation errors in image modelling, poor local constraints at the image boundary, and ill-conditioning of the problem itself.

Cite

Text

Stewart and Langer. "Towards Accurate Recovery of Shape from Shading Under Diffuse Lighting." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1996. doi:10.1109/CVPR.1996.517105

Markdown

[Stewart and Langer. "Towards Accurate Recovery of Shape from Shading Under Diffuse Lighting." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1996.](https://mlanthology.org/cvpr/1996/stewart1996cvpr-accurate/) doi:10.1109/CVPR.1996.517105

BibTeX

@inproceedings{stewart1996cvpr-accurate,
  title     = {{Towards Accurate Recovery of Shape from Shading Under Diffuse Lighting}},
  author    = {Stewart, A. James and Langer, Michael S.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1996},
  pages     = {411-418},
  doi       = {10.1109/CVPR.1996.517105},
  url       = {https://mlanthology.org/cvpr/1996/stewart1996cvpr-accurate/}
}