A PDE Patch-based Spectral Method for Progressive Mesh Compression and Mesh Denoising
Publication date
2017Rights
© 2017 Springer Berlin Heidelberg. Full-text reproduced in accordance with the publisher’s self-archiving policy.Peer-Reviewed
YesOpen Access status
openAccessAccepted for publication
2017-08
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Show full item recordAbstract
The development of the patchwise Partial Di erential Equation (PDE) framework a few years a- go has paved the way for the PDE method to be used in mesh signal processing. In this paper we, for the rst time, extend the use of the PDE method to progressive mesh compression and mesh denoising. We, meanwhile, upgrade the existing patchwise PDE method in patch merging, mesh partitioning, and boundary extraction to accommodate mesh signal processing. In our new method an arbitrary mesh model is partitioned into patches, each of which can be represented by a small set of coe cients of its PDE spectral solution. Since low- frequency components contribute more to the recon- structed mesh than high-frequency ones, we can achieve progressive mesh compression and mesh denoising by manipulating the frequency terms of the PDE solution. Experimental results demonstrate the feasibility of our method in both progressive mesh compression and mesh denoising.Version
Accepted manuscriptCitation
Shen Q, Sheng Y, Chen C et al (2017) A PDE Patch-based Spectral Method for Progressive Mesh Compression and Mesh Denoising. The Visual Computer. Accepted for publication.Link to Version of Record
https://doi.org/10.1007/s0037Type
Articleae974a485f413a2113503eed53cd6c53
https://doi.org/10.1007/s0037