A smart stochastic approach for manifolds smoothing

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dc.contributor.authorEl Ouafdi, A.F.en_US
dc.contributor.authorZiou, D.en_US
dc.contributor.authorKrim, H.en_US
dc.date.accessioned2015-02-21T17:32:27Z
dc.date.available2015-02-21T17:32:27Z
dc.date.issued2008en_US
dc.description.abstractIn this paper, we present a probabilistic approach for 3D object s smoothing. The core idea behind the proposed method is to relate the problem of smoothing objects to that of tracking the transition probability density functions of an underlying random process. We show that such an approach allows for additional insight and sufficient flexibility compared with existing standard smoothing techniques. In particular, we are able to propose a newer, faster, and simpler smoothing approach that retains and enhances important manifold features. Furthermore, it is demonstrated to improve performance over existing smoothing techniques.en_US
dc.description.number5en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume27en_US
dc.identifier.doi10.1111/j.1467-8659.2008.01275.xen_US
dc.identifier.issn1467-8659en_US
dc.identifier.pages1357-1364en_US
dc.identifier.urihttps://doi.org/10.1111/j.1467-8659.2008.01275.xen_US
dc.publisherThe Eurographics Association and Blackwell Publishing Ltden_US
dc.titleA smart stochastic approach for manifolds smoothingen_US
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27-Issue 5
SGP08: Eurographics Symposium on Geometry Processing