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• W2135536726 abstract "The recognition of 3-D objects from their silhouettes demands a shape representation which is stable with respect to minor changes in viewpoint and articulation. This can be achieved by parsing a silhouette into parts and relationships that do not change across similar object views. Medial descriptions, such as skeletons and shock graphs, provide part-based decompositions but suffer from instabilities. As a result, similar shapes may be represented by dissimilar part sets. We propose a novel shape parsing approach which is based on identifying and regularizing the ligature structure of a medial axis, leading to a bone graph, a medial abstraction which captures a more stable notion of an object’s parts. Our experiments show that it offers improved recognition and pose estimation performance in the presence of within-class deformation over the shock graph." @default.
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• W2135536726 date "2011-07-01" @default.
• W2135536726 modified "2023-09-23" @default.
• W2135536726 title "Bone graphs: Medial shape parsing and abstraction" @default.
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• W2135536726 doi "https://doi.org/10.1016/j.cviu.2010.12.011" @default.
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