Markov Random Fields on Triangle Meshes

Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2010

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In this paper we propose a novel anisotropic smoothing scheme based on Markov Random Fields (MRF). Our scheme is formulated as two coupled processes. A vertex process is used to smooth the mesh by displacing the vertices according to a MRF smoothness prior, while an independent edge process labels mesh edges according to a feature detecting prior. Since we should not smooth across a sharp feature, we use edge labels to control the vertex process. In a Bayesian framework, MRF priors are combined with the likelihood function related to the mesh formation method. The output of our algorithm is a piecewise smooth mesh with explicit labelling of edges belonging to the sharp features.
Original languageEnglish
Title18th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision : Comunication Papers Proceedings
EditorsVaclav Scala
Publication date2010
Pages265-270
ISBN (print)978-80-86943-87-9
StatePublished

Conference

Conference18th International Conference on Computer Graphics, Visualization and Computer Vision
Number18
CountryCzech Republic
CityPlzen
Period01/02/1004/02/10
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