Toward a Stratification of Helmholtz Stereopsis

Zickler, Todd E.; Belhumeur, Peter N.; Kriegman, David J.

doi:10.1109/CVPR.2003.1211402

Toward a Stratification of Helmholtz Stereopsis

Todd E. Zickler, Peter N. Belhumeur, David J. Kriegman

CVPR 2003 pp. 548-555

doi:10.1109/CVPR.2003.1211402 /cvpr/2003/zickler2003cvpr-stratification/

Abstract

Helmholtz stereopsis has been previously introduced as a surface reconstruction technique that does not assume a model of surface reflectance. This technique relies on the use of multiple cameras and light sources, and it has been shown to be effective when the camera and source positions are known. Here, we take a stratified look at uncalibrated Helmholtz stereopsis. We derive a photometric matching constraint that can be used to establish correspondence without any knowledge of the cameras and sources (except that they are co-located), and we determine conditions under which we can obtain affine and metric reconstructions. An implementation and experimental results are presented.

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Text

Zickler et al. "Toward a Stratification of Helmholtz Stereopsis." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2003. doi:10.1109/CVPR.2003.1211402

Markdown

[Zickler et al. "Toward a Stratification of Helmholtz Stereopsis." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2003.](https://mlanthology.org/cvpr/2003/zickler2003cvpr-stratification/) doi:10.1109/CVPR.2003.1211402

BibTeX

@inproceedings{zickler2003cvpr-stratification,
  title     = {{Toward a Stratification of Helmholtz Stereopsis}},
  author    = {Zickler, Todd E. and Belhumeur, Peter N. and Kriegman, David J.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2003},
  pages     = {548-555},
  doi       = {10.1109/CVPR.2003.1211402},
  url       = {https://mlanthology.org/cvpr/2003/zickler2003cvpr-stratification/}
}