Markov random fields on triangle meshes

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

1 Citation (Scopus)

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 publicationWSCG 2010 : communication papers proceedings
EditorsVaclav Skala
Number of pages6
PublisherVaclav Skala - Union Agency
Publication date2010
Pages265-270
ISBN (Print)978-80-86943-87-9
Publication statusPublished - 2010
Event18th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision - University of West Bohemia, Plzen, Czech Republic
Duration: 1 Feb 20104 Feb 2010
Conference number: 18

Conference

Conference18th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision
Number18
LocationUniversity of West Bohemia
Country/TerritoryCzech Republic
CityPlzen
Period01/02/201004/02/2010

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