Using Chromaticity Distributions and Eigenspace Analysis for Pose, Illumination, and Specularity-Invariant Recognition of 3D Objects

Cite

Text

Lin and Lee. "Using Chromaticity Distributions and Eigenspace Analysis for Pose, Illumination, and Specularity-Invariant Recognition of 3D Objects." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1997. doi:10.1109/CVPR.1997.609360

Markdown

[Lin and Lee. "Using Chromaticity Distributions and Eigenspace Analysis for Pose, Illumination, and Specularity-Invariant Recognition of 3D Objects." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1997.](https://mlanthology.org/cvpr/1997/lin1997cvpr-using/) doi:10.1109/CVPR.1997.609360

BibTeX

@inproceedings{lin1997cvpr-using,
  title     = {{Using Chromaticity Distributions and Eigenspace Analysis for Pose, Illumination, and Specularity-Invariant Recognition of 3D Objects}},
  author    = {Lin, Stephen and Lee, Sang Wook},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1997},
  pages     = {426-431},
  doi       = {10.1109/CVPR.1997.609360},
  url       = {https://mlanthology.org/cvpr/1997/lin1997cvpr-using/}
}