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Analysis of a digitized 3D mesh curvature histogram: Applications for segmentation,
geometric primitive type detection and quality measurement

S.Gauthier, William Puech, R Bénière, G Subsol


Today, it is increasingly frequent and easy to digitize the surface of real 3D objects. However, the obtained meshes are often inaccurate and noisy. In this paper, we present a method to analyze a curvature histogram from a digitized 3D surface using a real object. Moreover, we propose to use the curvature histogram analysis for three distinct applications which are : the mesh segmen- tation, the primitive type detection and the measure of quality. Experimental results applied on real digitized 3D meshes show the eciency of our proposed analysis.

Gaussian Mixture model

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