Titlebook: An Introduction to Laplacian Spectral Distances and Kernels; Theory, Computation, Giuseppe Patanè Book 2017 Springer Nature Switzerland AG

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https://doi.org/10.1007/978-3-642-91707-3 and shape analysis, as a generalization of the well-known biharmonic, diffusion, and wave distances. To support the reader in the selection of the most appropriate with respect to shape representation, computational resources, and target application, all the reviewed numerical schemes have been dis

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Durchführung des TrockenvorgangesWe review the isotropic and anisotropic Laplace-Beltrami operator and introduce a unified representation of the corresponding Laplacian matrix for surfaces and volumes. Additional results have been presented in [Sor06, Tau99, KG00, ZvKD07].

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Betriebsregelung bei TrockenanlagenIn geometry processing and shape analysis, several applications (e.g., surface remeshing, skeletonization, segmentation, comparison) have been addressed through the definition of shape descriptors and distances. Shape kernels, distances, and descriptors can be defined on 3D shapes by applying:

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Heat and Wave Equations,We introduce the heat (Sec. 2.1) and wave (Sec. 2.2) equations; then, we discuss their discretization (Sec. 2.3), the selection of the time scale, and the computation of their solution (Sec. 2.4). Finally (Sec. 2.5), we compare different methods for the computation of the solution to the heat equation.

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Laplacian Spectral Distances,In geometry processing and shape analysis, several applications (e.g., surface remeshing, skeletonization, segmentation, comparison) have been addressed through the definition of shape descriptors and distances. Shape kernels, distances, and descriptors can be defined on 3D shapes by applying:

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