Titlebook: Innovations for Shape Analysis; Models and Algorithm Michael Breuß,Alfred Bruckstein,Petros Maragos Book 2013 Springer-Verlag Berlin Heidel

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1612-3786 models such as partial differential equations and the theory of discrete shape descriptors. Some authors highlight new areas of enquiry such as partite skeletons, multi-component shapes, deformable shape model978-3-642-44215-5978-3-642-34141-0Series ISSN 1612-3786 Series E-ISSN 2197-666X

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Nested Sphere Statistics of Skeletal Modelsf spherical spaces. Based on this understanding and the way objects change under various rigid and nonrigid transformations, a method analogous to principal component analysis called . will be seen to apply to learning a more efficient collection of modes of object variation about a new and more rep

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Orientation and Anisotropy of Multi-component Shapes could lead to a large cumulative error at the end of the vision system’s pipeline. An enormous amount of work has been done to develop different methods for a spectrum of applications. We review the new idea for the orientation of multi-component shapes, and also its relation to some of the methods

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Stable Semi-local Features for Non-rigid Shapesformance.A quantitative evaluation of our methods on the SHREC’10 and SHREC’11 feature detection benchmarks as well as qualitative tests on the SCAPE dataset show its potential as a source of high-quality features. Examples demonstrating the drawbacks of surface stable components and the advantage o

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Remeshing by Curvature Driven Diffusiontally redistributes the vertices according to the computed area distribution, to adapt the size of the elements to the underlying surface features, while obtaining a good mesh quality. Several examples demonstrate that the proposed approach is simple, efficient and gives very desirable results espec

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