DocumentCode :
2087500
Title :
CSIFT: A SIFT Descriptor with Color Invariant Characteristics
Author :
Abdel-Hakim, Alaa E. ; Farag, Aly A.
Author_Institution :
University of Louisville, Louisville, KY
Volume :
2
fYear :
2006
fDate :
2006
Firstpage :
1978
Lastpage :
1983
Abstract :
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.
Keywords :
Colored noise; Computer vision; Feature extraction; Histograms; Image processing; Image retrieval; Laboratories; Lighting; Photometry; Robustness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 2006 IEEE Computer Society Conference on
ISSN :
1063-6919
Print_ISBN :
0-7695-2597-0
Type :
conf
DOI :
10.1109/CVPR.2006.95
Filename :
1640995
Link To Document :
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