ML Anthology

Shape and Spatially-Varying BRDFs from Photometric Stereo

Dan B. Goldman, Brian Curless, Aaron Hertzmann, Steven M. Seitz
ICCV 2005 pp. 341-348
doi:10.1109/ICCV.2005.219 /iccv/2005/goldman2005iccv-shape/

Abstract

This paper describes a photometric stereo method designed for surfaces with spatially-varying BRDFs, including surfaces with both varying diffuse and specular properties. Our method builds on the observation that most objects are composed of a small number of fundamental materials. This approach recovers not only the shape but also material BRDFs and weight maps, yielding compelling results for a wide variety of objects. We also show examples of interactive lighting and editing operations made possible by our method.

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Cite

Text

Goldman et al. "Shape and Spatially-Varying BRDFs from Photometric Stereo." IEEE/CVF International Conference on Computer Vision, 2005. doi:10.1109/ICCV.2005.219

Markdown

[Goldman et al. "Shape and Spatially-Varying BRDFs from Photometric Stereo." IEEE/CVF International Conference on Computer Vision, 2005.](https://mlanthology.org/iccv/2005/goldman2005iccv-shape/) doi:10.1109/ICCV.2005.219

BibTeX

@inproceedings{goldman2005iccv-shape,
  title     = {{Shape and Spatially-Varying BRDFs from Photometric Stereo}},
  author    = {Goldman, Dan B. and Curless, Brian and Hertzmann, Aaron and Seitz, Steven M.},
  booktitle = {IEEE/CVF International Conference on Computer Vision},
  year      = {2005},
  pages     = {341-348},
  doi       = {10.1109/ICCV.2005.219},
  url       = {https://mlanthology.org/iccv/2005/goldman2005iccv-shape/}
}