Markov Random Fields on Triangle Meshes

Vedrana Andersen, Henrik Aanæs, Jakob Andreas Bærentzen, Mads Nielsen

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    Abstract

    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
    Publication statusPublished - 2010
    Event18th International Conference on Computer Graphics, Visualization and Computer Vision - Plzen, Czech Republic
    Duration: 1 Feb 20104 Feb 2010
    Conference number: 18

    Conference

    Conference18th International Conference on Computer Graphics, Visualization and Computer Vision
    Number18
    CountryCzech Republic
    CityPlzen
    Period01/02/201004/02/2010

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