"Surface remeshing with robust user-guided segmentation" by Dawar Khan, Dong-Ming Yan et al.

Article Title

Surface remeshing with robust user-guided segmentation

Authors

Dawar Khan, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China. University of Chinese Academy of Sciences, Beijing, 100049, China.
Dong-Ming Yan, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China. University of Chinese Academy of Sciences, Beijing, 100049, China.
Fan Ding, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
Yixin Zhuang, National Digital Switching System Engineering & Technological Research Center, China.
Xiaopeng Zhang, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China. University of Chinese Academy of Sciences, Beijing, 100049, China.

Keywords

mesh generation, mesh segmentation, surface remeshing, triangulation

Abstract

Surface remeshing is widely required in modeling, animation, simulation, and many other computer graphics applications. Improving the elements’ quality is a challenging task in surface remeshing. Existing methods often fail to efficiently remove poor-quality elements especially in regions with sharp features. In this paper, we propose and use a robust segmentation method followed by remeshing the segmented mesh. Mesh segmentation is initiated using an existing Live-wire interaction approach and is further refined using local mesh operations. The refined segmented mesh is finally sent to the remeshing pipeline, in which each mesh segment is remeshed independently. An experimental study compares our mesh segmentation method as well as remeshing results with representative existing methods. We demonstrate that the proposed segmentation method is robust and suitable for remeshing.