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Global Mesh Denoising with Fairness

Haque, Mohammadul Sk and Govindu, Venu Madhav (2015) Global Mesh Denoising with Fairness. In: 2015 International Conference on 3D Vision (ENS), OCT 19-22, 2015, Lyon, FRANCE, pp. 46-54.

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Official URL: http://dx.doi.org/10.1109/3DV.2015.13

Abstract

We propose a novel global 3D mesh denoising method that is carried out in two steps, i.e. mollification of normals followed by vertex correction. Both steps involve minimising sparse, quadratic cost functions that yield efficient non-iterative solutions. In the mollification step, we use adaptive weights that allows for appropriate diffusion while preserving features. While many existing methods only correct for the vertex position along the normal direction, we argue that this is inadequate in many scenarios. Instead, we allow for vertex correction in all directions while enforcing a novel face fairness penalty that preserves face shapes in the denoised mesh. We present a number of tests and examples that demonstrate the efficacy of our method in denoising while preserving face fairness. We demonstrate the superiority of our approach over some relevant methods in the literature.

Item Type: Conference Proceedings
Additional Information: Copy right for this article belongs to the IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Department/Centre: Division of Electrical Sciences > Electrical Engineering
Depositing User: Id for Latest eprints
Date Deposited: 24 Aug 2016 10:38
Last Modified: 24 Aug 2016 10:38
URI: http://eprints.iisc.ac.in/id/eprint/54553

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