Title :
Vertex-Based Diffusion for 3-D Mesh Denoising
Author :
Zhang, Ying ; Ben Hamza, A.
Author_Institution :
Concordia Univ., Montreal, Que.
fDate :
4/1/2007 12:00:00 AM
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
Keywords :
image denoising; nonlinear differential equations; partial differential equations; smoothing methods; 3D mesh denoising; 3D mesh smoothing; nonlinear discrete partial differential equation; vertex-based diffusion; Anisotropic magnetoresistance; Filtering; Image edge detection; Image processing; Laplace equations; Noise reduction; Partial differential equations; Smoothing methods; Solid modeling; Surface fitting; 3-D mesh smoothing; partial differential equations; Algorithms; Artifacts; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Reproducibility of Results; Sensitivity and Specificity;
Journal_Title :
Image Processing, IEEE Transactions on
DOI :
10.1109/TIP.2007.891787
