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dc.contributor.authorPerez, Lizeth Joseline Fuentesen_US
dc.contributor.authorCalla, Luciano Arnaldo Romeroen_US
dc.contributor.authorMontenegro, Anselmo Antunesen_US
dc.contributor.authorMura, Claudioen_US
dc.contributor.authorPajarola, Renatoen_US
dc.contributor.editorLee, Sung-hee and Zollmann, Stefanie and Okabe, Makoto and Wuensche, Burkharden_US
dc.date.accessioned2020-10-29T18:39:36Z
dc.date.available2020-10-29T18:39:36Z
dc.date.issued2020
dc.identifier.isbn978-3-03868-120-5
dc.identifier.urihttps://doi.org/10.2312/pg.20201226
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/pg20201226
dc.description.abstractThe sparse representation of signals defined on Euclidean domains has been successfully applied in signal processing. Bringing the power of sparse representations to non-regular domains is still a challenge, but promising approaches have started emerging recently. In this paper, we investigate the problem of sparsely representing discrete surfaces and propose a new representation that is capable of providing tools for solving different geometry processing problems. The sparse discrete surface representation is obtained by combining innovative approaches into an integrated method. First, to deal with irregular mesh domains, we devised a new way to subdivide discrete meshes into a set of patches using a feature-aware seed sampling. Second, we achieve good surface approximation with over-fitting control by combining the power of a continuous global dictionary representation with a modified Orthogonal Marching Pursuit. The discrete surface approximation results produced were able to preserve the shape features while being robust to over-fitting. Our results show that the method is quite promising for applications like surface re-sampling and mesh compression.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectComputing methodologies
dc.subjectMesh models
dc.subjectMesh geometry models
dc.titleA Robust Feature-aware Sparse Mesh Representationen_US
dc.description.seriesinformationPacific Graphics Short Papers, Posters, and Work-in-Progress Papers
dc.description.sectionheadersGeometric Computations
dc.identifier.doi10.2312/pg.20201226
dc.identifier.pages25-30


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