2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2 (CVPR'06) CSIFT: A SIFT Descriptor with Color Invariant Characteristics New York, NY June 17-June 22 ISBN: 0-7695-2597-0
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CVPR.2006.95
SIFT has been proven to be the most robust local invariant feature descriptor. SIFT is designed mainly for gray images. However, color provides valuable information in object description and matching tasks. Many objects can be misclassified if their color contents are ignored. This paper addresses this problem and proposes a novel colored local invariant feature descriptor. Instead of using the gray space to represent the input image, the proposed approach builds the SIFT descriptors in a color invariant space. The built Colored SIFT (CSIFT) is more robust than the conventional SIFT with respect to color and photometrical variations. The evaluation results support the potential of the proposed approach.
Citation:
Alaa E. Abdel-Hakim, Aly A. Farag, "CSIFT: A SIFT Descriptor with Color Invariant Characteristics," cvpr, vol. 2, pp.1978-1983, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2 (CVPR'06), 2006 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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