A New Color SIFT Descriptor and Methods for Image Category Classification
نویسندگان
چکیده
We first propose in this paper a new oRGB-SIFT descriptor, and then integrate it with other color SIFT features to produce the Color SIFT Fusion (CSF) and the Color Grayscale SIFT Fusion (CGSF) methods for image category classification. The effectiveness of our proposed representation and methods are evaluated on three representative, large scale, and grand challenging datasets. The experimental results show that (i) our oRGB-SIFT descriptor improves recognition performance over other color SIFT descriptors; (ii) both the CSF method and the CGSF method perform better than the other color SIFT descriptors or the methods combining color
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