Extracting Boundary Surface of Arbitrary Topology from Volumetric Datasets

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dc.contributor.authorDuan, Yeen_US
dc.contributor.authorQin, Hongen_US
dc.contributor.editorK. Mueller and A. Kaufmanen_US
dc.date.accessioned2014-01-29T17:20:53Z
dc.date.available2014-01-29T17:20:53Z
dc.date.issued2001en_US
dc.description.abstractThis paper presents a novel, powerful reconstruction algorithm that can recover correct shape geometry as well as its unknown topology from arbitrarily complicated volumetric datasets. The algorithm starts from a simple seed model (of genus zero) that can be initialized automatically without user intervention. The deformable behavior of the model is then governed by a locally defined objective function associated with each vertex of the model. Through the numerical computation of function optimization, the algorithm can adaptively subdivide the model geometry, automatically detect self-collision of the model, properly modify its topology (because of the occurrence of self-collision), continuously evolve the model towards the object boundary, and reduce fitting error and improve fitting quality via global subdivision.en_US
dc.description.seriesinformationVolume Graphicsen_US
dc.identifier.isbn3-211-83737-Xen_US
dc.identifier.issn1727-8376en_US
dc.identifier.urihttps://doi.org/10.2312/VG/VG01/237-251en_US
dc.publisherThe Eurographics Associationen_US
dc.titleExtracting Boundary Surface of Arbitrary Topology from Volumetric Datasetsen_US
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VG01: Volume Graphics Workshop 2001