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research:shape_priors [2011/08/05 14:12] Prof. Dr. Daniel Cremers |
research:shape_priors [2012/01/20 11:58] (current) |
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In this project, we introduce into classical image segmentation methods some prior knowledge about which shapes are likely to be in a given image. In particular, we develop metrics on spaces of shapes, statistical models of shape variation and dynamical models which allow to impose a statistical model of the temporal evolution of shape. The respective segmentation processes can cope with large amounts of background clutter, noise and partial or complete occlusions. | In this project, we introduce into classical image segmentation methods some prior knowledge about which shapes are likely to be in a given image. In particular, we develop metrics on spaces of shapes, statistical models of shape variation and dynamical models which allow to impose a statistical model of the temporal evolution of shape. The respective segmentation processes can cope with large amounts of background clutter, noise and partial or complete occlusions. | ||
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Click on the images to view animations. | Click on the images to view animations. | ||
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====== Related publications ====== | ====== Related publications ====== | ||
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