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.
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.
Originalsprog | Engelsk |
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Titel | WSCG 2010 : communication papers proceedings |
Redaktører | Vaclav Skala |
Antal sider | 6 |
Forlag | Vaclav Skala - Union Agency |
Publikationsdato | 2010 |
Sider | 265-270 |
ISBN (Trykt) | 978-80-86943-87-9 |
Status | Udgivet - 2010 |
Begivenhed | 18th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision - University of West Bohemia, Plzen, Tjekkiet Varighed: 1 feb. 2010 → 4 feb. 2010 Konferencens nummer: 18 |
Konference
Konference | 18th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision |
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Nummer | 18 |
Lokation | University of West Bohemia |
Land/Område | Tjekkiet |
By | Plzen |
Periode | 01/02/2010 → 04/02/2010 |