中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Coarse‐to‐Fine Normal Filtering for Feature‐Preserving Mesh Denoising Based on Isotropic Subneighborhoods

文献类型:期刊论文

作者Zhu Lei; Wei Mingqiang; Yu Jinze; Wang Weiming; Qin Jing; Heng Pheng-Ann
刊名COMPUTER GRAPHICS FORUM
出版日期2013
英文摘要State-of-theart normal filters usually denoise each face normal using its entire anisotropic neighborhood. However, enforcing these filters indiscriminately on the anisotropic neighborhood will lead to feature blurring, especially in challenging regions with shallow features. We develop a novel mesh denoising framework which can effectively preserve features with various sizes. Our idea is inspired by the observation that the underlying surface of a noisy mesh is piecewise smooth. In this regard, it is more desirable that we denoise each face normal within its piecewise smooth region (we call such a region as an isotropic subneighborhood) instead of using the anisotropic neighborhood. To achieve this, we first classify mesh faces into several types using a face normal tensor voting and then perform a normal filter to obtain a denoised coarse normal field. Based on the results of normal classification and the denoised coarse normal field, we segment the anisotropic neighborhood of every feature face into a number of isotropic subneighborhoods via local spectral clustering. Thus face normal filtering can be performed again on the isotropic subneighborhoods and produce a more accurate normal field. Extensive tests on various models demonstrate that our method can achieve better performance than state-of-theart normal filters, especially in challenging regions with features.
收录类别SCI
原文出处http://onlinelibrary.wiley.com/doi/10.1111/cgf.12245/abstract;jsessionid=9677154C28DD434CEB45E81EB5E121FE.f03t03
语种英语
源URL[http://ir.siat.ac.cn:8080/handle/172644/4433]  
专题深圳先进技术研究院_集成所
作者单位COMPUTER GRAPHICS FORUM
推荐引用方式
GB/T 7714
Zhu Lei,Wei Mingqiang,Yu Jinze,et al. Coarse‐to‐Fine Normal Filtering for Feature‐Preserving Mesh Denoising Based on Isotropic Subneighborhoods[J]. COMPUTER GRAPHICS FORUM,2013.
APA Zhu Lei,Wei Mingqiang,Yu Jinze,Wang Weiming,Qin Jing,&Heng Pheng-Ann.(2013).Coarse‐to‐Fine Normal Filtering for Feature‐Preserving Mesh Denoising Based on Isotropic Subneighborhoods.COMPUTER GRAPHICS FORUM.
MLA Zhu Lei,et al."Coarse‐to‐Fine Normal Filtering for Feature‐Preserving Mesh Denoising Based on Isotropic Subneighborhoods".COMPUTER GRAPHICS FORUM (2013).

入库方式: OAI收割

来源:深圳先进技术研究院

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