ML Anthology

Segmenting 3-D Surfaces Using Multicolored Illumination

Glenn Healey, Lizhi Wang
CVPR 1998 pp. 384-389
doi:10.1109/CVPR.1998.698634 /cvpr/1998/healey1998cvpr-segmenting/

Abstract

We introduce a method for segmenting surfaces of three-dimensional objects using two images of the object obtained from the same viewpoint under different illumination conditions. The method allows surface spectral reflectance to vary from point to point and requires only weak conditions on the uncalibrated illumination configuration. The algorithm is based on the local recovery of an illumination change matrix that depends on surface geometry but not on the spectral reflectance of the surface. We show that for typical sensor noise levels, this technique can be used for the reliable detection of surface orientation changes of a few degrees. This approach can be generalized using a calibrated setup to recover a dense set of surface orientation estimates from two images. We present a set of experiments demonstrating the capability of the algorithm for the segmentation of planar surfaces in the presence of spatially varying spectral reflectance.

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Cite

Text

Healey and Wang. "Segmenting 3-D Surfaces Using Multicolored Illumination." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1998. doi:10.1109/CVPR.1998.698634

Markdown

[Healey and Wang. "Segmenting 3-D Surfaces Using Multicolored Illumination." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1998.](https://mlanthology.org/cvpr/1998/healey1998cvpr-segmenting/) doi:10.1109/CVPR.1998.698634

BibTeX

@inproceedings{healey1998cvpr-segmenting,
  title     = {{Segmenting 3-D Surfaces Using Multicolored Illumination}},
  author    = {Healey, Glenn and Wang, Lizhi},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1998},
  pages     = {384-389},
  doi       = {10.1109/CVPR.1998.698634},
  url       = {https://mlanthology.org/cvpr/1998/healey1998cvpr-segmenting/}
}