Italian Chapter Conference 2007

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https://diglib.eg.org/handle/10.2312/911

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Browsing Italian Chapter Conference 2007 by Subject "Categories and Subject Descriptors (according to ACM CCS): I.3.5 [Computational Geometry and Object Modeling]:"

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    3D Objects Face Clustering using Unsupervised Mean Shift
    (The Eurographics Association, 2007) Farenzena, M.; Cristani, M.; Castellani, U.; Fusiello, A.; Raffaele De Amicis and Giuseppe Conti
    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 critical parameter, the kernel bandwidth size, is here automatically detected by following a well-accepted partition stability criterion. Experimental and comparative results on synthetic and real data validate the approach.