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Smart Tools and Applications in Graphics
In this paper, a novel approach to face clustering is proposed. The aim is the completely unsupervised extraction of planes in a polygonal a mesh, obtained from a 3D reconstruction process. In this context, 3D coordinates points are inevitably affected by error, therefore resiliency is a primal concern in the analysis. The method is based on the Mean Shift clustering paradigm, devoted to separating modes of a multimodal non-parametric density, by using a kernel-based technique. A criticaldoi:10.2312/localchapterevents/italchap/italianchapconf2007/039-043 dblp:conf/egItaly/FarenzenaCCF07 fatcat:mzwlul3r4fg3nmt6pnzld572hy