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dc.contributor.authorProenca, Joaoen_US
dc.contributor.authorJorge, Joaquim A.en_US
dc.contributor.authorSousa, Mario C.en_US
dc.contributor.editorM. Botsch and R. Pajarola and B. Chen and M. Zwickeren_US
dc.date.accessioned2014-01-29T16:52:06Z
dc.date.available2014-01-29T16:52:06Z
dc.date.issued2007en_US
dc.identifier.isbn978-3-905673-51-7en_US
dc.identifier.issn1811-7813en_US
dc.identifier.urihttp://dx.doi.org/10.2312/SPBG/SPBG07/011-018en_US
dc.description.abstractWe present a novel approach for point-set implicit surface sampling that is able to rapidly distribute particles over the surface of 3D objects. Our methods benefit from the inner structure of a MPU implicit to obtain a near-optimal initial distribution, with higher densities in areas of higher complexity. The adequate number of particles to effectively sample the surface is determined almost automatically and in accordance to the surface characteristics. We also use the MPU information to obtain local surface complexity heuristics that are used in the simulation stage of the particle system. Shape modeling operations are directly supported and the redistribution of particles is very fast for local edits. We present performance results that show that our system is faster than other state-of-the art approaches for the same number of points.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): Sampling, approximation, and interpolation.en_US
dc.titleSampling Point-Set Implicitsen_US
dc.description.seriesinformationEurographics Symposium on Point-Based Graphicsen_US


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