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Multivariate kernel diffusion for surface denoising

Khaled Tarmissi, A. Ben Hamza
2010 Signal, Image and Video Processing  
In this paper, we introduce a 3D mesh denoising method based on kernel density estimation.  ...  The proposed approach is able to reduce the over-smoothing effect and effectively remove undesirable noise while preserving prominent geometric features of a 3D mesh such as curved surface regions, sharp  ...  [9, 10] introduce a weighted Laplacian smoothing technique by choosing new edge weights based on curvature flow operators.  ... 
doi:10.1007/s11760-010-0154-z fatcat:rpal57sx4bhw5jgksh752r34si

Feature-Aware Trilateral Filter with Energy Minimization for 3D Mesh Denoising

Ye Wang, You Yang, Qiong Liu
2020 IEEE Access  
In this paper, we propose a feature-aware trilateral filter under the framework of energy minimization for 3D mesh denoising and address the above challenge.  ...  Apart from this, we introduce a feature-aware trilateral filter for high-quality mesh guidance to the model.  ...  For mesh denoising, filter operation can be discretized as a weighted average of mesh elements in the neighborhood to obtain filtered elements, where elements can be vertex positions or normal directions  ... 
doi:10.1109/access.2020.2981161 fatcat:of2c5wcc4fcnfcdlw6m7gdzqe4

3D Mesh Pre-processing Method Based on Feature Point Classification and Anisotropic Vertex Denoising Considering Scene Structure Characteristics

Yawen Liu, Bingxuan Guo, Xiongwu Xiao, Wei Qiu
2021 Remote Sensing  
3D mesh denoising plays an important role in 3D model pre-processing and repair.  ...  In this paper, we propose a novel feature-preserving mesh denoising method, which was based on robust guidance normal estimation, accurate feature point extraction and an anisotropic vertex denoising strategy  ...  Acknowledgments: We sincerely thank the anonymous reviewers for their comments and suggestions, which is crucial for this paper.  ... 
doi:10.3390/rs13112145 fatcat:6fuoawojtzacxbvpubkmul4ks4

Fast Feature-Preserving Approach to Carpal Bone Surface Denoising

Ibrahim Salim, A. Hamza
2018 Sensors  
Both terms are weighted by a normalized mesh Laplacian, which is defined in terms of a data-adaptive kernel similarity matrix in conjunction with matrix balancing.  ...  We present a geometric framework for surface denoising using graph signal processing, which is an emerging field that aims to develop new tools for processing and analyzing graph-structured data.  ...  to match the filtered face normals, resulting in a computationally expensive process, particularly for large 3D meshes.  ... 
doi:10.3390/s18072379 pmid:30037109 pmcid:PMC6069221 fatcat:lie73rd4rndztmvw73dkcmdvfu

NormalNet: Learning-based Normal Filtering for Mesh Denoising [article]

Wenbo Zhao, Xianming Liu, Yongsen Zhao, Xiaopeng Fan, Debin Zhao
2019 arXiv   pre-print
In this work, we propose a learning-based normal filtering scheme for mesh denoising called NormalNet, which maps the guided normal filtering (GNF) into a deep network.  ...  The scheme follows the iterative framework of filtering-based mesh denoising.  ...  CONCLUSION In this paper, we present a learning-based normal filtering scheme for mesh denoising.  ... 
arXiv:1903.04015v2 fatcat:hnxzxubvhnfltlzssa7vjntqnq

A cascaded approach for feature-preserving surface mesh denoising

Jun Wang, Xi Zhang, Zeyun Yu
2012 Computer-Aided Design  
Motivated by the bilateral filtering from image processing applications, we develop a new bilateral filter operating on the normal vector fields of the mesh.  ...  This paper proposes a general, robust approach for mesh denoising by using a combination of bilateral filtering, feature recognition, anisotropic neighborhood searching, and surface fitting and projection  ...  Jones for providing the executable files. The mesh models in this paper are from the AIM shape repository, the Stanford 3D scanning repository.  ... 
doi:10.1016/j.cad.2012.03.001 fatcat:2alxbdhcszep3n3qppszp3iwvu

Texture-Based Visualization of Unsteady 3D Flow by Real-Time Advection and Volumetric Illumination

D. Weiskopf, T. Schafhitzel, T. Ertl
2007 IEEE Transactions on Visualization and Computer Graphics  
The weight function used during normal filtering is much simpler than that used in previous similar approaches, being simply a trimmed quadratic.  ...  Firstly, noisy face normals are filtered iteratively by weighted averaging of neighboring face normals. Secondly, vertex positions are iteratively updated to agree with the denoised face normals.  ...  ACKNOWLEDGMENT We are grateful to the anonymous reviewers for their valuable comments. This work was supported by EPSRC Grant EP/C007972 and NSFC Grant 60674030.  ... 
doi:10.1109/tvcg.2007.1014 fatcat:lrjbh3wkwzb4fb7pzdidkpnnmm

Texture-Based Visualization of Unsteady 3D Flow by Real-Time Advection and Volumetric Illumination

Daniel Weiskopf, Tobias Schafhitzel, Thomas Ertl
2007 IEEE Transactions on Visualization and Computer Graphics  
The weight function used during normal filtering is much simpler than that used in previous similar approaches, being simply a trimmed quadratic.  ...  Firstly, noisy face normals are filtered iteratively by weighted averaging of neighboring face normals. Secondly, vertex positions are iteratively updated to agree with the denoised face normals.  ...  ACKNOWLEDGMENT We are grateful to the anonymous reviewers for their valuable comments. This work was supported by EPSRC Grant EP/C007972 and NSFC Grant 60674030.  ... 
doi:10.1109/tvcg.2007.1045 pmid:17356222 fatcat:quupokkc2rfw7acz3xvtzyhtz4

Mesh Denoising via Adaptive Consistent Neighborhood

Mingqiang Guo, Zhenzhen Song, Chengde Han, Saishang Zhong, Ruina Lv, Zheng Liu
2021 Sensors  
In this paper, we propose a novel guided normal filtering followed by vertex updating for mesh denoising.  ...  We introduce a two-stage scheme to construct adaptive consistent neighborhoods for guided normal filtering.  ...  In view of these issues, we propose a guided normal filtering based on adaptive consistent neighborhoods for mesh denoising.  ... 
doi:10.3390/s21020412 pmid:33435554 fatcat:sw7t63lvkrfetoaqpdf3y5iiou

Feature-preserving mesh denoising based on vertices classification

Zhe Bian, Ruofeng Tong
2011 Computer Aided Geometric Design  
The classification for feature vertices is based on volume integral invariant.  ...  In this paper, we present an effective surface denoising method for noisy surfaces.  ...  Acknowledgements We wish to thank Susan Hu from Wellesley College for helping to improve the English. And thanks to Yong-Liang Yang for providing the code to calculate the volume integral invariant.  ... 
doi:10.1016/j.cagd.2010.10.001 fatcat:mldwpe7qbvbrdkxiletze4s2ky

Segmentation Based Mesh Denoising [article]

Chaofan Dai, Wei Pan, Xuequan Lu
2020 arXiv   pre-print
In this paper, we propose a novel clustering method for mesh denoising, which can avoid the disturbance of anisotropic information and be easily embedded into commonly-used mesh denoising frameworks.  ...  It also largely relaxes the parameter tuning procedure for users, in terms of increasing stability for existing mesh denoising methods.  ...  In particular, the face normal based methods [1, 3, 4, 6] often consider the design of small weights for anisotropic faces and large weights for isotropic weights, while small weights still affect the  ... 
arXiv:2008.01358v2 fatcat:3co3bibmzrh2nmpkl3uvbbqeay

Fast and Effective Feature-Preserving Mesh Denoising

Xianfang Sun, Paul Rosin, Ralph Martin, Frank Langbein
2007 IEEE Transactions on Visualization and Computer Graphics  
The weight function used during normal filtering is much simpler than that used in previous similar approaches, being simply a trimmed quadratic.  ...  Firstly, noisy face normals are filtered iteratively by weighted averaging of neighboring face normals. Secondly, vertex positions are iteratively updated to agree with the denoised face normals.  ...  ACKNOWLEDGMENT We are grateful to the anonymous reviewers for their valuable comments. This work was supported by EPSRC Grant EP/C007972 and NSFC Grant 60674030.  ... 
doi:10.1109/tvcg.2007.1065 pmid:17622677 fatcat:l3xzrzykbnckbavuoxevpjrkfm

3D-Mesh denoising using an improved vertex based anisotropic diffusion [article]

Mohammed EL Hassouni, Driss Aboutajdine
2010 arXiv   pre-print
This paper deals with an improvement of vertex based nonlinear diffusion for mesh denoising.  ...  To evaluate these methods of filtering, we use two error metrics. The first is based on the vertices and the second is based on the normals.  ...  These method is efficient for 3D mesh denoising strategy to fully preserve the geometric structure of the 3D mesh data.  ... 
arXiv:1009.4581v1 fatcat:zd6vugryovd5re5o3bwf3cov2m

Bilateral mesh denoising

Shachar Fleishman, Iddo Drori, Daniel Cohen-Or
2003 ACM Transactions on Graphics  
Motivated by the impressive results of bilateral filtering for image denoising, we adopt it to denoise 3D meshes; addressing the specific issues required in the transition from two-dimensions to manifolds  ...  We present an anisotropic mesh denoising algorithm that is effective, simple and fast. This is accomplished by filtering vertices of the mesh in the normal direction using local neighborhoods.  ...  Acknowledgements We wish to thank Alexande Belyaev for his numerous remarks and suggestions.  ... 
doi:10.1145/882262.882368 fatcat:stect7gdmnbhhj6yheear7uq7q

Bilateral mesh denoising

Shachar Fleishman, Iddo Drori, Daniel Cohen-Or
2003 ACM SIGGRAPH 2003 Papers on - SIGGRAPH '03  
Motivated by the impressive results of bilateral filtering for image denoising, we adopt it to denoise 3D meshes; addressing the specific issues required in the transition from two-dimensions to manifolds  ...  We present an anisotropic mesh denoising algorithm that is effective, simple and fast. This is accomplished by filtering vertices of the mesh in the normal direction using local neighborhoods.  ...  Acknowledgements We wish to thank Alexande Belyaev for his numerous remarks and suggestions.  ... 
doi:10.1145/1201775.882368 fatcat:p4oxagqwyzhmld6v7uctwjcc5i
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