Feature Adaptive Surfel Set Simplification

dc.contributor.authorHuang, Yanen_US
dc.contributor.authorYan, Feihuen_US
dc.contributor.authorWang, Beien_US
dc.contributor.authorPeng, Jingliangen_US
dc.contributor.editorBing-Yu Chen and Jan Kautz and Tong-Yee Lee and Ming C. Linen_US
dc.date.accessioned2013-10-31T09:37:07Z
dc.date.available2013-10-31T09:37:07Z
dc.date.issued2011en_US
dc.description.abstractIn this paper we propose a novel scheme for simplifying a surfel set with the resultant surfels computed and distributed in an effort to preserve prominent geometric and textural features with a reduced number of primitives. It works by iteratively collapsing local neighborhoods around surfels until a desired data reduction ratio is reached. The local neighborhood collapses are prioritized according to a cost metric that takes into account the local complexities of both the geometric and the textural information. Experimental results demonstrate that, besides yielding outstanding model quality at a reduced model size, the proposed scheme provides the flexibility for the users to specify the relative priorities in the geometric and the textural fidelity.en_US
dc.description.seriesinformationPacific Graphics Short Papersen_US
dc.identifier.isbn978-3-905673-84-5en_US
dc.identifier.urihttps://doi.org/10.2312/PE/PG/PG2011short/043-048en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.3.5 [Computer Graphics]: Computational Geometry and Object Modeling-Curve, surface, solid, and object representationsen_US
dc.titleFeature Adaptive Surfel Set Simplificationen_US
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