Fast Surface Denoising Using Finite Volumes of the Dual Mesh

Abstract

In this paper we present a surface denoising technique using the vertex-centered finite volume method in conjunction with the mesh covariance fractional anisotropy. The approach is computationally fast and able to effectively remove undesirable noise while preserving prominent geometric features of a 3D mesh surface such as curved surface regions, sharp edges, and fine details. Extensive experimental results on various 3D models demonstrate the effectiveness of the proposed iterative algorithm, which yields satisfactory output results in just one single iteration.