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.
|Title of host publication||18th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision : Comunication Papers Proceedings|
|Publication status||Published - 2010|
|Event||18th International Conference on Computer Graphics, Visualization and Computer Vision - Plzen, Czech Republic|
Duration: 1 Feb 2010 → 4 Feb 2010
Conference number: 18
|Conference||18th International Conference on Computer Graphics, Visualization and Computer Vision|
|Period||01/02/2010 → 04/02/2010|