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dc.contributor.authorVallet, B.en_US
dc.contributor.authorLevy, B.en_US
dc.date.accessioned2015-02-21T16:18:39Z
dc.date.available2015-02-21T16:18:39Z
dc.date.issued2008en_US
dc.identifier.issn1467-8659en_US
dc.identifier.urihttp://dx.doi.org/10.1111/j.1467-8659.2008.01122.xen_US
dc.description.abstractWe present an explicit method to compute a generalization of the Fourier Transform on a mesh. It is well known that the eigenfunctions of the Laplace Beltrami operator (Manifold Harmonics) define a function basis allowing for such a transform. However, computing even just a few eigenvectors is out of reach for meshes with more than a few thousand vertices, and storing these eigenvectors is prohibitive for large meshes. To overcome these limitations, we propose a band-by-band spectrum computation algorithm and an out-of-core implementation that can compute thousands of eigenvectors for meshes with up to a million vertices. We also propose a limited-memory filtering algorithm, that does not need to store the eigenvectors. Using this latter algorithm, specific frequency bands can be filtered, without needing to compute the entire spectrum. Finally, we demonstrate some applications of our method to interactive convolution geometry filtering. These technical achievements are supported by a solid yet simple theoretic framework based on Discrete Exterior Calculus (DEC). In particular, the issues of symmetry and discretization of the operator are considered with great care.en_US
dc.publisherThe Eurographics Association and Blackwell Publishing Ltden_US
dc.titleSpectral Geometry Processing with Manifold Harmonicsen_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume27en_US
dc.description.number2en_US
dc.identifier.doi10.1111/j.1467-8659.2008.01122.xen_US
dc.identifier.pages251-260en_US


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