Towards correct and informative evaluation methodology for texture classification under varying viewpoint and illumination-Reference-Cited by-同舟云学术

Towards correct and informative evaluation methodology for texture classification under varying viewpoint and illumination

Published:2010-04 Issue:4 Volume:114 Page:439-449
ISSN:1077-3142
Container-title:Computer Vision and Image Understanding
language:en
Short-container-title:Computer Vision and Image Understanding

Author:

Drbohlav Ondřej,Leonardis Aleš

Publisher

Elsevier BV

Subject

Computer Vision and Pattern Recognition,Signal Processing,Software

Reference25 articles.

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3. M. Varma, A. Zisserman, J.-M. Geusebroek, Texture classification. An on-line research demo. Includes image crops from the CUReT dataset. URL http://www.robots.ox.ac.uk/~vgg/research/texclass/index.html.

4. 3D texture recognition using bidirectional feature histograms;Cula;International Journal of Computer Vision,2004

5. Representing and recognizing the visual appearance of materials using three-dimensional textons;Leung;International Journal of Computer Vision,2001

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1. Evaluating color texture descriptors under large variations of controlled lighting conditions;Journal of the Optical Society of America A;2015-12-09

2. Local Angular Patterns for Color Texture Classification;New Trends in Image Analysis and Processing -- ICIAP 2015 Workshops;2015

3. Combining local binary patterns and local color contrast for texture classification under varying illumination;Journal of the Optical Society of America A;2014-06-12

4. Pattern Matching in Compressed Texts and Images;Foundations and Trends® in Signal Processing;2013

5. Wavelet Domain Multifractal Analysis for Static and Dynamic Texture Classification;IEEE Transactions on Image Processing;2013-01