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This paper introduces a novel method for image classification based on both texture and depth information. The proposed method uses depth maps in order to improve on the performance of conventional texture-based classification. Depth features are extracted by capturing shapes of depth map slices. The extracted depth features are encoded in the form of sparse representation. Fusion of texture and depth...
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