Kernel-Based Laplacian Smoothing Method for 3D Mesh DenoisingReport as inadecuate




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1 GeoStat - Geometry and Statistics in acquisition data Inria Bordeaux - Sud-Ouest 2 LRIT GSCM-LRIT - Laboratoire de Recherche en Informatique et Télécommunications Rabat 3 GSCM-LRIT - Laboratoire de Recherche en Informatique et Télécommunications Rabat

Abstract : In this paper, we present an improved Laplacian smoothing technique for 3D mesh denoising. This method filters directly the vertices by updating their positions. Laplacian smoothing process is simple to implement and fast, but it tends to produce shrinking and oversmoothing effects. To remedy this problem, firstly, we introduce a kernel function in the Laplacian expression. Then, we propose to use a linear combination of denoised instances. This combination aims to reduce the number of iterations of the desired method by coupling it with a technique that leadsto oversmoothing. Experiments are conducted on synthetic triangular meshes corrupted by Gaussian noise. Results show that we outperform some existing methods in terms of objective and visual quality.





Author: Hicham Badri - Mohammed El Hassouni - Driss Aboutajdine -

Source: https://hal.archives-ouvertes.fr/



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