A two-step approach to optimizing meshes
Meshes obtained from three-dimensional scanning usually contain huge amounts of noise. It is therefore necessary to optimize them before further applications. This paper proposes a novel approach to optimize arbitrary meshes with feature preservation, which consists of two steps. First, a modified bilateral filtering is employed to denoise the meshes, which can be considered as an iterative, local, non-linear, and anisotropic mesh optimization. Then the resulting meshes is smoothed by solving a Laplacian equation, which is regarded as a noniterative, global, linear, and isotropic mesh optimization. The performance of our approach is experimentally validated via comparisons with conventional techniques. The results demonstrate our approach successfully removes noise while faithfully preserving the original surface geometry, and avoids volume shrinkage and shape distortion.
mesh optimization Bilateral filtering Laplacian equation mesh processing
Xin Ma Mingqiang Wei Jianhuang Wu Shuguo Wang Yili Fu
Robotics Institute, Harbin Institute of Technology, Harbin, China Shenzhen Institutes of Advanced Te Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China Department Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China The Chinese Robotics Institute, Harbin Institute of Technology, Harbin, China
国际会议
厦门
英文
25-30
2010-10-26（万方平台首次上网日期，不代表论文的发表时间）