title: Vertex-based diffusion for 3-D mesh denoising.
abstract: We present a vertex-based diffusion for 3-D mesh denoising by solving a nonlinear discrete partial differential equation. The core idea behind our proposed technique is to use geometric insight in helping construct an efficient and fast 3-D mesh smoothing strategy to fully preserve the geometric structure of the data. Illustrating experimental results demonstrate a much improved performance of the proposed approach in comparison with existing methods currently used in 3-D mesh smoothing.
authors.affiliation: Concordia Institute for Information Systems Engineering Concordia University, Montréal, QC H3G 1M8, Canada.
authors.forename: Ying
authors.initials: Y
authors.lastname: Zhang
authors.forename: A
authors.initials: A
authors.lastname: Ben Hamza
mesh_terms: D000465:Algorithms; D016477:Artifacts; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity