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We augment a new channel called the ℓ-channel to conventional RGB images, and propose its application in multiple classification and recognition tasks. The new RGB-ℓ image records the same scene using the color and frosted light channel, which are simultaneously captured using a binocular camera with a low-cost frosted glass placed in front of one of the cameras. Due to the light scattering property...
Distance metric plays a key role in grouping superpixels to produce object proposals for object detection. We observe that existing distance metrics work primarily for low complexity cases. In this paper, we develop a novel distance metric for grouping two superpixels in high-complexity scenarios. Combining them, a complexity-adaptive distance measure is produced that achieves improved grouping in...
We present the first automatic method to remove shadows from single RGB-D images. Using normal cues directly derived from depth, we can remove hard and soft shadows while preserving surface texture and shading. Our key assumption is: pixels with similar normals, spatial locations and chromaticity should have similar colors. A modified nonlocal matching is used to compute a shadow confidence map that...
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