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We introduce an algorithm for object discovery from RGB-D (color plus depth) data, building on recent progress in using RGB-D cameras for 3-D reconstruction. A set of 3-D maps are built from multiple visits to the same scene. We introduce a multi-scene MRF model to detect objects that moved between visits, combining shape, visibility, and color cues. We measure similarities between candidate objects...
This paper investigates segmentation-based image descriptors for object category recognition. In contrast to commonly used interest points the proposed descriptors are extracted from pairs of adjacent regions given by a segmentation method. In this way we exploit semi-local structural information from the image. We propose to use the segments as spatial bins for descriptors of various image statistics...
Many studies have already demonstrated structural brain differences among different patient populations using the morphometric analysis techniques. Voxel-based morphometry (VBM) and deformation-based morphometry (DBM) are the two widely used methods. This paper mainly compared the difference of the two methods and analyzed the reason why many researches exist differences in the experimental results...
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