ML Anthology

Roughness and Shape of Specular Lobe Surfaces Using Photometric Sampling Method

Tesuo Kiuchi, Katsushi Ikeuchi
CVPR 1993 pp. 765-766
doi:10.1109/CVPR.1993.341164 /cvpr/1993/kiuchi1993cvpr-roughness/

Abstract

An algorithm is proposed to determine surface orientation and roughness for specular lobe dominant surfaces under photometric sampling. From the image sequence, surface reflectance and orientation are obtained by determining the parameters of the reflectance model. The validity of this approach is demonstrated by applying it to real specular lobe dominant surfaces and examining orientation errors.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

CVPR Semantic Scholar

Cite

Text

Kiuchi and Ikeuchi. "Roughness and Shape of Specular Lobe Surfaces Using Photometric Sampling Method." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1993. doi:10.1109/CVPR.1993.341164

Markdown

[Kiuchi and Ikeuchi. "Roughness and Shape of Specular Lobe Surfaces Using Photometric Sampling Method." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1993.](https://mlanthology.org/cvpr/1993/kiuchi1993cvpr-roughness/) doi:10.1109/CVPR.1993.341164

BibTeX

@inproceedings{kiuchi1993cvpr-roughness,
  title     = {{Roughness and Shape of Specular Lobe Surfaces Using Photometric Sampling Method}},
  author    = {Kiuchi, Tesuo and Ikeuchi, Katsushi},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1993},
  pages     = {765-766},
  doi       = {10.1109/CVPR.1993.341164},
  url       = {https://mlanthology.org/cvpr/1993/kiuchi1993cvpr-roughness/}
}