Scale-Space and Edge Detection Using Anisotropic Diffusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Biased anisotropic diffusion: a unified regularization and diffusion approach to edge detection
Image and Vision Computing - Special issue on the first ECCV 1990
A signal processing approach to fair surface design
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Implicit fairing of irregular meshes using diffusion and curvature flow
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
Multiresolution signal processing for meshes
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
Anisotropic geometric diffusion in surface processing
Proceedings of the conference on Visualization '00
Anisotropic diffusion of surfaces and functions on surfaces
ACM Transactions on Graphics (TOG)
A simple algorithm for surface denoising
Proceedings of the conference on Visualization '01
Geometric surface smoothing via anisotropic diffusion of normals
Proceedings of the conference on Visualization '02
A novel volume constrained smoothing method for meshes
Graphical Models - Special issue: Processing on large polygonal meshes
Non-iterative, feature-preserving mesh smoothing
ACM SIGGRAPH 2003 Papers
ACM SIGGRAPH 2003 Papers
Bilateral Filtering for Gray and Color Images
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Foreword: Discrete Differential Geometry
Computer Aided Geometric Design
IEEE Transactions on Image Processing
A well-balanced flow equation for noise removal and edge detection
IEEE Transactions on Image Processing
Discrete multi-material interface reconstruction for volume fraction data
EuroVis'08 Proceedings of the 10th Joint Eurographics / IEEE - VGTC conference on Visualization
Hi-index | 0.00 |
In this paper, we introduce a novel approach to denoise meshes taking the balanced flow equation as the theoretical foundation.The underlying model consists of an anisotropic diffusion term and a forcing term. The balance between these two terms is made in a selective way allowing prominent surface features and other details of the meshes to be treated in different ways. The forcing term keeps smoothed surface close to the initial surface.Thus the volume is preserved, and most important, the shape distortion is prevented. Applying a dynamic balance technique, the equation converges to the solution quickly meanwhile generating a more faithful approximation to the original noisy mesh. Our smoothing method maintains simplicity in implementation and numerical results show its high performance.