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We present a novel viewpoint which approaches the structural correspondence across an image stack in the 3D space as solving a contour grouping problem. Finding 3D cellular tubes becomes finding closed contours. We derive grouping cues between cells in adjacent slices based on their ability to relate in the 3D space. Those that form a long 3D tube in the space become the most salient contour, while...
We investigate the utility of human performance data on indoor-outdoor scene categorization in improving the generalization performance of a machine indoor-outdoor classifier. On 50 indoor and 50 outdoor scenes, the human categorization accuracies are obtained for these stimuli rendered as either real images or line drawings. We study two types of features, image gist and edge gist, which are the...
Many applications need to segment out all small round regions in an image. This task of finding dots can be viewed as a region segmentation problem where the dots form one region and the areas between dots form the other. We formulate it as a graph cuts problem with two types of grouping cues: short-range attraction based on feature similarity and long-range repulsion based on feature dissimilarity...
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