Photometric Stereo with Non-Parametric and Spatially-Varying Reflectance

Neil Gordon Alldrin, Todd E. Zickler, David J. Kriegman

CVPR 2008

doi:10.1109/CVPR.2008.4587656 /cvpr/2008/alldrin2008cvpr-photometric/

Abstract

We present a method for simultaneously recovering shape and spatially varying reflectance of a surface from photometric stereo images. The distinguishing feature of our approach is its generality; it does not rely on a specific parametric reflectance model and is therefore purely ldquodata-drivenrdquo. This is achieved by employing novel bi-variate approximations of isotropic reflectance functions. By combining this new approximation with recent developments in photometric stereo, we are able to simultaneously estimate an independent surface normal at each point, a global set of non-parametric ldquobasis materialrdquo BRDFs, and per-point material weights. Our experimental results validate the approach and demonstrate the utility of bi-variate reflectance functions for general non-parametric appearance capture.

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Cite

Text

Alldrin et al. "Photometric Stereo with Non-Parametric and Spatially-Varying Reflectance." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2008. doi:10.1109/CVPR.2008.4587656

Markdown

[Alldrin et al. "Photometric Stereo with Non-Parametric and Spatially-Varying Reflectance." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2008.](https://mlanthology.org/cvpr/2008/alldrin2008cvpr-photometric/) doi:10.1109/CVPR.2008.4587656

BibTeX

@inproceedings{alldrin2008cvpr-photometric,
  title     = {{Photometric Stereo with Non-Parametric and Spatially-Varying Reflectance}},
  author    = {Alldrin, Neil Gordon and Zickler, Todd E. and Kriegman, David J.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2008},
  doi       = {10.1109/CVPR.2008.4587656},
  url       = {https://mlanthology.org/cvpr/2008/alldrin2008cvpr-photometric/}
}