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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
The digital Michelangelo project: 3D scanning of large statues
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Fast bilateral filtering for the display of high-dynamic-range images
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Computing and Rendering Point Set Surfaces
IEEE Transactions on Visualization and Computer Graphics
Non-iterative, feature-preserving mesh smoothing
ACM SIGGRAPH 2003 Papers
ACM SIGGRAPH 2003 Papers
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Proceedings of the 2003 Eurographics/ACM SIGGRAPH symposium on Geometry processing
Bilateral Filtering for Gray and Color Images
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Fairing of Point Based Surfaces
CGI '04 Proceedings of the Computer Graphics International
Normal Improvement for Point Rendering
IEEE Computer Graphics and Applications
IEEE Transactions on Visualization and Computer Graphics
A Non-Local Algorithm for Image Denoising
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Robust moving least-squares fitting with sharp features
ACM SIGGRAPH 2005 Papers
Poisson surface reconstruction
SGP '06 Proceedings of the fourth Eurographics symposium on Geometry processing
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ACM SIGGRAPH Asia 2009 papers
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Computer Aided Geometric Design - Special issue: Geometric modelling and differential geometry
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Computers and Graphics
Dimensionality Estimation, Manifold Learning and Function Approximation using Tensor Voting
The Journal of Machine Learning Research
3DIMPVT '12 Proceedings of the 2012 Second International Conference on 3D Imaging, Modeling, Processing, Visualization & Transmission
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In this paper, we propose a simple and effective feature-aware filtering for point-set surface denoising, which can achieve a second-order surface approximation of the underlying surface. Our method consists of two stages: robust normal estimation considering sharp features and feature-preserving denoising using a local curvature based projection. The normal clustering based on neighborhood grouping allows the filter to preserve and respect several features during the denoising process. We demonstrate the strength of our method in terms of denoising, feature preservation and computational efficiency.