Coarse‐to‐Fine Normal Filtering for Feature‐Preserving Mesh Denoising Based on Isotropic Subneighborhoods
暂无分享,去创建一个
Pheng-Ann Heng | Lei Zhu | Weiming Wang | Jing Qin | Jinze Yu | Mingqiang Wei | P. Heng | Lei Zhu | J. Qin | Weiming Wang | Mingqiang Wei | Jinze Yu
[1] Martin Rumpf,et al. Anisotropic geometric diffusion in surface processing , 2000 .
[2] Ligang Liu,et al. Non-iterative approach for global mesh optimization , 2007, Comput. Aided Des..
[3] Ralph R. Martin,et al. Fast and Effective Feature-Preserving Mesh Denoising , 2007, IEEE Transactions on Visualization and Computer Graphics.
[4] Ligang Liu,et al. Decoupling noise and features via weighted ℓ1-analysis compressed sensing , 2014, TOGS.
[5] Yutaka Ohtake,et al. Mesh denoising via iterative alpha-trimming and nonlinear diffusion of normals with automatic thresholding , 2003, Proceedings Computer Graphics International 2003.
[6] Ralph R. Martin,et al. Random walks for feature-preserving mesh denoising , 2008, Computer Aided Geometric Design.
[7] Daniel Cohen-Or,et al. Bilateral mesh denoising , 2003 .
[8] TalAyellet,et al. Hierarchical mesh decomposition using fuzzy clustering and cuts , 2003 .
[9] DurandFrédo,et al. Non-iterative, feature-preserving mesh smoothing , 2003 .
[10] Lei He,et al. Mesh denoising via L0 minimization , 2013, ACM Trans. Graph..
[11] D. A. Field. Laplacian smoothing and Delaunay triangulations , 1988 .
[12] Frédo Durand,et al. Non-iterative, feature-preserving mesh smoothing , 2003, ACM Trans. Graph..
[13] Chandrajit L. Bajaj,et al. Anisotropic diffusion of surfaces and functions on surfaces , 2003, TOGS.
[14] Kwan H. Lee,et al. Feature detection of triangular meshes based on tensor voting theory , 2009, Comput. Aided Des..
[15] Mark Meyer,et al. Anisotropic Feature-Preserving Denoising of Height Fields and Bivariate Data , 2000, Graphics Interface.
[16] Tien-Tsin Wong,et al. Feature-preserving optimization for noisy mesh using joint bilateral filter and constrained Laplacian smoothing , 2013 .
[17] Ayellet Tal,et al. Hierarchical mesh decomposition using fuzzy clustering and cuts , 2003, ACM Trans. Graph..
[18] Charlie C. L. Wang,et al. Iterative Consolidation of Unorganized Point Clouds , 2012, IEEE Computer Graphics and Applications.
[19] Joonki Paik,et al. Triangle mesh-based edge detection and its application to surface segmentation and adaptive surface smoothing , 2002, Proceedings. International Conference on Image Processing.
[20] Ulrike von Luxburg,et al. A tutorial on spectral clustering , 2007, Stat. Comput..
[21] Junjie Cao,et al. Mesh denoising based on differential coordinates , 2009, 2009 IEEE International Conference on Shape Modeling and Applications.
[22] Xi Zhang,et al. A cascaded approach for feature-preserving surface mesh denoising , 2012, Comput. Aided Des..
[23] Cohen-OrDaniel,et al. Bilateral mesh denoising , 2003 .
[24] Yizhou Yu,et al. Robust Feature-Preserving Mesh Denoising Based on Consistent Subneighborhoods , 2010, IEEE Transactions on Visualization and Computer Graphics.
[25] Satoshi Kanai,et al. A new bilateral mesh smoothing method by recognizing features , 2005, Ninth International Conference on Computer Aided Design and Computer Graphics (CAD-CG'05).
[26] Youyi Zheng,et al. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS 1 Bilateral Normal Filtering for Mesh Denoising , 2022 .
[27] Yuzhong Shen,et al. Fuzzy vector median-based surface smoothing , 2004, IEEE Transactions on Visualization and Computer Graphics.
[28] Gabriel Taubin,et al. A signal processing approach to fair surface design , 1995, SIGGRAPH.
[29] Hao Zhang,et al. Segmentation of 3D meshes through spectral clustering , 2004, 12th Pacific Conference on Computer Graphics and Applications, 2004. PG 2004. Proceedings..
[30] Michael I. Jordan,et al. On Spectral Clustering: Analysis and an algorithm , 2001, NIPS.