Publication
Joint Bilateral Mesh Denoising using Color Information and Local Anti-Shrinking
Oliver Wasenmüller; Gabriele Bleser; Didier Stricker
In: Vaclav Skala (Hrsg.). Journal of WSCG, Vol. 23, Pages 27-34, 6/2015.
Abstract
Recent 3D reconstruction algorithms are able to generate colored meshes with high resolution details of given
objects. However, due to several reasons the reconstructions still contain some noise. In this paper we propose
the new Joint Bilateral Mesh Denoising (JBMD), which is an anisotropic filter for highly precise and smooth
mesh denoising. Compared to state of the art algorithms it uses color information as an additional constraint for
denoising; following the observation that geometry and color changes often coincide. We face the well-known
mesh shrinking problem by a new local anti-shrinking, leading to precise edge preservation. In addition we use an
increasing smoothing sensitivity for higher numbers of iterations. We show in our evaluation with three different
categories of testdata that our contributions lead to high precision results, which outperform competing algorithms.
Furthermore, our JBMD algorithm converges on a minimal error level for higher numbers of iterations.