基于非局部相似性的三维模型去噪  

Mesh denoising based on non-local similarity

作　　者：赵文博 刘贤明 赵德斌[1] 高文[1,2] ZHAO Wenbo;LIU Xianming;ZHAO Debin;GAO Wen(School of Computer Science and Technology,Harbin Institute of Technology,Harbin 150001,China;School of Electrical Engineering and Computer Science,Peking University,Beijing 100871,China.)

机构地区：[1]哈尔滨工业大学计算机科学与技术学院,哈尔滨150001 [2]北京大学电子工程与计算机学院,北京100871

出　　处：《智能计算机与应用》2020年第5期85-88,共4页Intelligent Computer and Applications

基　　金：国家重点基础研究发展规划项目(2015CB351804);国家自然科学基金(61300110,61672193)。

摘　　要：随着计算机技术的发展,人们对于高质量三维模型的需求也日渐增加。然而,高质量的三维模型通常是通过扫描设备获取的,而扫描获取的模型不可避免的带有噪声,因此三维模型去噪技术已经成为计算机图形学中的热门研究方向。针对三维模型具有的非局部相似性,本文提出了一种基于k环结构的寻找相似结构的方法,以及一种基于非局部相似性的三维模型面法向量滤波算法。实验结果表明,该算法在主观与客观对比中均可以达到良好的效果,且在特征恢复方面有明显的优势。With the development of computer science,the demand for high quality 3D models has been increased.However,high quality models are usually obtained by scanners,which are inevitably contaminated by noise.Hence,mesh denoising has become a hot research topic in the area of computer graphic.In this paper,aiming at the non-local similarity of mesh,a k-ring patch based scheme for finding similar structures and a non-local similarity based face normal filtering scheme are proposed.The experiment results show our scheme achieves satisfying results on both objective and subjective comparisons and has obvious advantage on recovering feature.

关 键 词：三维模型去噪 相似性 面法向量滤波 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]