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.
作者
赵文博
刘贤明
赵德斌
高文
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.)
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)。