dc.creatorDe Goes F.
dc.creatorBergo F.P.G.
dc.creatorFalcao A.X.
dc.creatorGoldenstein S.
dc.creatorVelho L.
dc.date2006
dc.date2015-06-30T18:17:12Z
dc.date2015-11-26T14:29:13Z
dc.date2015-06-30T18:17:12Z
dc.date2015-11-26T14:29:13Z
dc.date.accessioned2018-03-28T21:32:26Z
dc.date.available2018-03-28T21:32:26Z
dc.identifier0769526861; 9780769526867
dc.identifierBrazilian Symposium Of Computer Graphic And Image Processing. , v. , n. , p. 213 - 220, 2006.
dc.identifier15301834
dc.identifier10.1109/SIBGRAPI.2006.6
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-34948901864&partnerID=40&md5=ac21153cd3cd9d59ae0c93416403e29c
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/103837
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/103837
dc.identifier2-s2.0-34948901864
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1246783
dc.descriptionDeformable objects play an important role in many applications, such as animation and simulation. Effective computation with deformable surfaces can be achieved through the use of dynamic meshes. In this paper, we introduce a framework for constructing and maintaining a time-varying adapted mesh structure that conforms to the under-lying deformable surface. The adaptation function employs error metrics based on stochastic sampling. Our scheme combines normal and tangential geometric correction with refinement and simplification resolution control. Furthermore, it applies to both parametric and implicit surface descriptions. As the result, we obtain a simple and efficient general scheme that can be used for a wide range of computations. © 2006 IEEE.
dc.description
dc.description
dc.description213
dc.description220
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dc.languageen
dc.publisher
dc.relationBrazilian Symposium of Computer Graphic and Image Processing
dc.rightsfechado
dc.sourceScopus
dc.titleAdapted Dynamic Meshes For Deformable Surfaces
dc.typeActas de congresos


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