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In this paper, we introduce a novel method to solve shape alignment problems. We use gray-scale "images” to represent source shapes, and propose a novel two-component Gaussian Mixture (GM) distance map representation for target shapes. This asymmetric representation is a flexible image-based representation which is able to represent different kinds of shape data, including continuous contours,...
In this paper, we introduce a novel algorithm to solve global shape registration problems. We use gray-scale ldquoimagesrdquo to represent source shapes, and propose a novel two-component Gaussian Mixtures (GM) distance map representation for target shapes. Based on this flexible asymmetric image-based representation, a new energy function is defined. It proves to be a more robust shape dissimilarity...
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