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Non-iterative, feature-preserving mesh smoothing

Authors:

Thouis R. Jones,

Mathieu DesbrunAuthors Info & Claims

ACM Transactions on Graphics (TOG), Volume 22, Issue 3

Pages 943 - 949

https://doi.org/10.1145/882262.882367

Published: 01 July 2003 Publication History

Abstract

With the increasing use of geometry scanners to create 3D models, there is a rising need for fast and robust mesh smoothing to remove inevitable noise in the measurements. While most previous work has favored diffusion-based iterative techniques for feature-preserving smoothing, we propose a radically different approach, based on robust statistics and local first-order predictors of the surface. The robustness of our local estimates allows us to derive a non-iterative feature-preserving filtering technique applicable to arbitrary "triangle soups". We demonstrate its simplicity of implementation and its efficiency, which make it an excellent solution for smoothing large, noisy, and non-manifold meshes.

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Cited By

Chen S(2024)An improved bilateral filtering based on curvature feature for point cloud denoising in road surface detectionMIPPR 2023: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications10.1117/12.3000895(11)Online publication date: 7-Mar-2024
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Information & Contributors

Information

Published In

cover image ACM Transactions on Graphics

ACM Transactions on Graphics Volume 22, Issue 3

July 2003

683 pages

ISSN:0730-0301

EISSN:1557-7368

DOI:10.1145/882262

Issue’s Table of Contents

Copyright © 2003 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Publication History

Published: 01 July 2003

Published in TOG Volume 22, Issue 3

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Cited By

Chen S(2024)An improved bilateral filtering based on curvature feature for point cloud denoising in road surface detectionMIPPR 2023: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications10.1117/12.3000895(11)Online publication date: 7-Mar-2024
https://doi.org/10.1117/12.3000895
Huang HLou SZeng WScott PJiang X(2024)Laplacian Mesh Smoothing with Bilateral Weight for Characterization of Freeform Surfaces2024 29th International Conference on Automation and Computing (ICAC)10.1109/ICAC61394.2024.10718856(1-6)Online publication date: 28-Aug-2024
https://doi.org/10.1109/ICAC61394.2024.10718856
Fletcher JMiskovic D(2024)Computer-Generated modelling in surgerySeminars in Colon and Rectal Surgery10.1016/j.scrs.2024.10100335:1(101003)Online publication date: Mar-2024
https://doi.org/10.1016/j.scrs.2024.101003
Ho TTran MCui XLin CBaek SKim WLee CJin GChae KChoi S(2024)Human-airway surface mesh smoothing based on graph convolutional neural networksComputer Methods and Programs in Biomedicine10.1016/j.cmpb.2024.108061246:COnline publication date: 1-Apr-2024
https://dl.acm.org/doi/10.1016/j.cmpb.2024.108061
Jaiswal MCorpuz AHsu M(2024)Mesh-driven resampling and regularization for robust point cloud-based flow analysis directly on scanned objectsComputer Methods in Applied Mechanics and Engineering10.1016/j.cma.2024.117426432(117426)Online publication date: Dec-2024
https://doi.org/10.1016/j.cma.2024.117426
Wang MFeng YLyu BShen LYuan C(2024)An attention enhanced dual graph neural network for mesh denoisingComputer Aided Geometric Design10.1016/j.cagd.2024.102307111:COnline publication date: 1-Jun-2024
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Hurtado JGattass MRaposo ALopez C(2024)Sharp feature-preserving mesh denoisingMultimedia Tools and Applications10.1007/s11042-024-18390-x83:27(69555-69580)Online publication date: 1-Feb-2024
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Chen HLi ZWei MWang J(2023)Geometric and Learning-Based Mesh Denoising: A Comprehensive SurveyACM Transactions on Multimedia Computing, Communications, and Applications10.1145/362509820:3(1-28)Online publication date: 10-Nov-2023
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Ozendi MAkca DTopan H(2023)A point cloud filtering method based on anisotropic error modelThe Photogrammetric Record10.1111/phor.1246038:184(460-497)Online publication date: Sep-2023
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