ML Anthology

Self-Calibrating Photometric Stereo

Boxin Shi, Yasuyuki Matsushita, Yichen Wei, Chao Xu, Ping Tan
CVPR 2010 pp. 1118-1125
doi:10.1109/CVPR.2010.5540091 /cvpr/2010/shi2010cvpr-self/

Abstract

We present a self-calibrating photometric stereo method. From a set of images taken from a fixed viewpoint under different and unknown lighting conditions, our method automatically determines a radiometric response function and resolves the generalized bas-relief ambiguity for estimating accurate surface normals and albedos. We show that color and intensity profiles, which are obtained from registered pixels across images, serve as effective cues for addressing these two calibration problems. As a result, we develop a complete auto-calibration method for photometric stereo. The proposed method is useful in many practical scenarios where calibrations are difficult. Experimental results validate the accuracy of the proposed method using various real-world scenes. ©2010 IEEE.

PDF CVPR Semantic Scholar

Cite

Text

Shi et al. "Self-Calibrating Photometric Stereo." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2010. doi:10.1109/CVPR.2010.5540091

Markdown

[Shi et al. "Self-Calibrating Photometric Stereo." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2010.](https://mlanthology.org/cvpr/2010/shi2010cvpr-self/) doi:10.1109/CVPR.2010.5540091

BibTeX

@inproceedings{shi2010cvpr-self,
  title     = {{Self-Calibrating Photometric Stereo}},
  author    = {Shi, Boxin and Matsushita, Yasuyuki and Wei, Yichen and Xu, Chao and Tan, Ping},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2010},
  pages     = {1118-1125},
  doi       = {10.1109/CVPR.2010.5540091},
  url       = {https://mlanthology.org/cvpr/2010/shi2010cvpr-self/}
}