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
Title of host publication18th 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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