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Photometric Stereo with General, Unknown Lighting

Ronen Basri, David W. Jacobs
CVPR 2001 pp. II:374-381
doi:10.1109/CVPR.2001.990985 /cvpr/2001/basri2001cvpr-photometric/

Abstract

Work on photometric stereo has shown how to recover the shape and reflectance properties of an object using multiple images taken with a fixed viewpoint and variable lighting conditions. This work has primarily relied on the presence of a single point source of light in each image. The authors show how to perform photometric stereo, assuming that all lights in a scene are isotropic and distant from the object but otherwise unconstrained. Lighting in each image may be an unknown and arbitrary combination of diffuse, point and extended sources. Our work is based on recent results showing that for Lambertian objects, general lighting conditions can be represented using low order spherical harmonics. Using this representation, we can recover shape by performing a simple optimization in a low-dimensional space. We also analyze the shape ambiguities that arise in such a representation.

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Text

Basri and Jacobs. "Photometric Stereo with General, Unknown Lighting." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2001. doi:10.1109/CVPR.2001.990985

Markdown

[Basri and Jacobs. "Photometric Stereo with General, Unknown Lighting." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2001.](https://mlanthology.org/cvpr/2001/basri2001cvpr-photometric/) doi:10.1109/CVPR.2001.990985

BibTeX

@inproceedings{basri2001cvpr-photometric,
  title     = {{Photometric Stereo with General, Unknown Lighting}},
  author    = {Basri, Ronen and Jacobs, David W.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2001},
  pages     = {II:374-381},
  doi       = {10.1109/CVPR.2001.990985},
  url       = {https://mlanthology.org/cvpr/2001/basri2001cvpr-photometric/}
}