Scale-Space and Edge Detection Using Anisotropic Diffusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
Surfels: surface elements as rendering primitives
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
QSplat: a multiresolution point rendering system for large meshes
Proceedings of the 27th 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)
Proceedings of the conference on Visualization '01
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
Polyhedral Surface Smoothing with Simultaneous Mesh Regularization
GMP '00 Proceedings of the Geometric Modeling and Processing 2000
Shape modeling with point-sampled geometry
ACM SIGGRAPH 2003 Papers
ACM SIGGRAPH 2003 Papers
High-Quality Point-Based Rendering on Modern GPUs
PG '03 Proceedings of the 11th Pacific Conference on Computer Graphics and Applications
Fairing of Point Based Surfaces
CGI '04 Proceedings of the Computer Graphics International
ACM SIGGRAPH 2004 Papers
Robust morphing of point-sampled geometry: Research Articles
Computer Animation and Virtual Worlds - Special Issue: The Very Best Papers from CASA 2004
A New Bilateral Mesh Smoothing Method by Recognizing Features
CAD-CG '05 Proceedings of the Ninth International Conference on Computer Aided Design and Computer Graphics
Anisotropic smoothing of point sets
Computer Aided Geometric Design - Special issue: Geometric modelling and differential geometry
A dynamic balanced flow for filtering point-sampled geometry
The Visual Computer: International Journal of Computer Graphics
Point-based multiscale surface representation
ACM Transactions on Graphics (TOG)
Robust Smooth Feature Extraction from Point Clouds
SMI '07 Proceedings of the IEEE International Conference on Shape Modeling and Applications 2007
A Partition-of-Unity Based Algorithm for Implicit Surface Reconstruction Using Belief Propagation
SMI '07 Proceedings of the IEEE International Conference on Shape Modeling and Applications 2007
Detail-Preserving local editing for point-sampled geometry
CGI'06 Proceedings of the 24th international conference on Advances in Computer Graphics
Post-processing of scanned 3D surface data
SPBG'04 Proceedings of the First Eurographics conference on Point-Based Graphics
On normals and projection operators for surfaces defined by point sets
SPBG'04 Proceedings of the First Eurographics conference on Point-Based Graphics
New computation of normal vector and curvature
WSEAS Transactions on Computers
Adaptive moving least squares for scattering points fitting
WSEAS Transactions on Computers
The theory and application of an adaptive moving least squares for non-uniform samples
WSEAS Transactions on Computers
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Based on sampling likelihood and feature intensity, in this paper, a feature-preserving denoising algorithm for point-sampled surfaces is proposed. In terms of moving least squares surface, the sampling likelihood for each point on point-sampled surfaces is computed, which measures the probability that a 3D point is located on the sampled surface. Based on the normal tensor voting, the feature intensity of sample point is evaluated. By applying the modified bilateral filtering to each normal, and in combination with sampling likelihood and feature intensity, the filtered point-sampled surfaces are obtained. Experimental results demonstrate that the algorithm is robust, and can denoise the noise efficiently while preserving the surface features.