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Analysis of Orientation and Scale in Smoothly Varying Textures

Jason Chang, John W. Fisher Iii
ICCV 2009 pp. 881-888
doi:10.1109/ICCV.2009.5459317 /iccv/2009/chang2009iccv-analysis/

Abstract

We present a novel representation for modeling textured regions subject to smooth variations in orientation and scale. Utilizing the steerable pyramid of Simoncelli and Freeman as a basis, we decompose textured regions of natural images into explicit local attributes of contrast, bias, scale, and orientation. Additionally, we impose smoothness on these attributes via Markov random fields. The combination allows for demonstrable improvements in common scene analysis applications including unsupervised segmentation, reflectance and shading estimation, and estimation of the radiometric response function from a single image.

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Text

Chang and Iii. "Analysis of Orientation and Scale in Smoothly Varying Textures." IEEE/CVF International Conference on Computer Vision, 2009. doi:10.1109/ICCV.2009.5459317

Markdown

[Chang and Iii. "Analysis of Orientation and Scale in Smoothly Varying Textures." IEEE/CVF International Conference on Computer Vision, 2009.](https://mlanthology.org/iccv/2009/chang2009iccv-analysis/) doi:10.1109/ICCV.2009.5459317

BibTeX

@inproceedings{chang2009iccv-analysis,
  title     = {{Analysis of Orientation and Scale in Smoothly Varying Textures}},
  author    = {Chang, Jason and Iii, John W. Fisher},
  booktitle = {IEEE/CVF International Conference on Computer Vision},
  year      = {2009},
  pages     = {881-888},
  doi       = {10.1109/ICCV.2009.5459317},
  url       = {https://mlanthology.org/iccv/2009/chang2009iccv-analysis/}
}