Calibrating Photometric Stereo by Holistic Reflectance Symmetry Analysis

Abstract

Under unknown directional lighting, the uncalibrated Lambertian photometric stereo algorithm recovers the shape of a smooth surface up to the generalized bas-relief (GBR) ambiguity. We resolve this ambiguity from the halfvector symmetry, which is observed in many isotropic materials. Under this symmetry, a 2D BRDF slice with low-rank structure can be obtained from an image, if the surface normals and light directions are correctly recovered. In general, this structure is destroyed by the GBR ambiguity. As a result, we can resolve the ambiguity by restoring this structure. We develop a simple algorithm of auto-calibration from separable homogeneous specular reflection of real images. Compared with previous methods, this method takes a holistic approach to exploiting reflectance symmetry and produces superior results.

Cite

Text

Wu and Tan. "Calibrating Photometric Stereo by Holistic Reflectance Symmetry Analysis." Conference on Computer Vision and Pattern Recognition, 2013. doi:10.1109/CVPR.2013.197

Markdown

[Wu and Tan. "Calibrating Photometric Stereo by Holistic Reflectance Symmetry Analysis." Conference on Computer Vision and Pattern Recognition, 2013.](https://mlanthology.org/cvpr/2013/wu2013cvpr-calibrating/) doi:10.1109/CVPR.2013.197

BibTeX

@inproceedings{wu2013cvpr-calibrating,
  title     = {{Calibrating Photometric Stereo by Holistic Reflectance Symmetry Analysis}},
  author    = {Wu, Zhe and Tan, Ping},
  booktitle = {Conference on Computer Vision and Pattern Recognition},
  year      = {2013},
  doi       = {10.1109/CVPR.2013.197},
  url       = {https://mlanthology.org/cvpr/2013/wu2013cvpr-calibrating/}
}