ML Anthology

Real-Time Recognition with the Entire Brodatz Texture Database

Rosalind W. Picard, Tanweer Kabir, Fang Liu
CVPR 1993 pp. 638-639
doi:10.1109/CVPR.1993.341050 /cvpr/1993/picard1993cvpr-real/

Abstract

The Brodatz Album has become the de facto standard for evaluating texture algorithms, with hundreds of studies having been applied to small sets of its images. The authors compare two powerful recognition algorithms, principal components analysis and multiscale autoregressive models, by evaluating them on a 999-image database derived from the entire Brodatz Album. The variety of homogeneous and nonhomogeneous images studied is thus nearly an order of magnitude larger than has been compared before, giving one snapshot of the state of the art in real-time texture recognition.< <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

Picard et al. "Real-Time Recognition with the Entire Brodatz Texture Database." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1993. doi:10.1109/CVPR.1993.341050

Markdown

[Picard et al. "Real-Time Recognition with the Entire Brodatz Texture Database." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1993.](https://mlanthology.org/cvpr/1993/picard1993cvpr-real/) doi:10.1109/CVPR.1993.341050

BibTeX

@inproceedings{picard1993cvpr-real,
  title     = {{Real-Time Recognition with the Entire Brodatz Texture Database}},
  author    = {Picard, Rosalind W. and Kabir, Tanweer and Liu, Fang},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1993},
  pages     = {638-639},
  doi       = {10.1109/CVPR.1993.341050},
  url       = {https://mlanthology.org/cvpr/1993/picard1993cvpr-real/}
}