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Modeling and Identifying 3-D Color Textures

Raghava Kondepudy, Glenn Healey
CVPR 1993 pp. 577-582
doi:10.1109/CVPR.1993.341072 /cvpr/1993/kondepudy1993cvpr-modeling/

Abstract

A model that characterizes the appearance of textured color surfaces in three dimensions is developed. The model is derived from properties of surfaces and the physics of image formation. The color texture model describes the dependence of the spatial correlations within and between bands of a color image on surface reflectance, illumination, and the scene geometry. It is shown that there are important advantages in using color information for texture analysis. From the authors' model, an algorithm for recognizing instances of color textures independent of scene geometry is derived. This algorithm is useful for the recognition of three-dimensional objects and the segmentation of color images of three-dimensional scenes. Experimental results are provided to confirm the model and to illustrate the performance of the algorithm.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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Cite

Text

Kondepudy and Healey. "Modeling and Identifying 3-D Color Textures." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1993. doi:10.1109/CVPR.1993.341072

Markdown

[Kondepudy and Healey. "Modeling and Identifying 3-D Color Textures." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1993.](https://mlanthology.org/cvpr/1993/kondepudy1993cvpr-modeling/) doi:10.1109/CVPR.1993.341072

BibTeX

@inproceedings{kondepudy1993cvpr-modeling,
  title     = {{Modeling and Identifying 3-D Color Textures}},
  author    = {Kondepudy, Raghava and Healey, Glenn},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1993},
  pages     = {577-582},
  doi       = {10.1109/CVPR.1993.341072},
  url       = {https://mlanthology.org/cvpr/1993/kondepudy1993cvpr-modeling/}
}