KAUST DepartmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Visual Computing Center (VCC)
Permanent link to this recordhttp://hdl.handle.net/10754/562378
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AbstractWe present a new variational method for mesh segmentation by fitting quadric surfaces. Each component of the resulting segmentation is represented by a general quadric surface (including plane as a special case). A novel energy function is defined to evaluate the quality of the segmentation, which combines both L2 and L2 ,1 metrics from a triangle to a quadric surface. The Lloyd iteration is used to minimize the energy function, which repeatedly interleaves between mesh partition and quadric surface fitting. We also integrate feature-based and simplification-based techniques in the segmentation framework, which greatly improve the performance. The advantages of our algorithm are demonstrated by comparing with the state-of-the-art methods. © 2012 Elsevier Ltd. All rights reserved.
SponsorsWe would like to thank the reviewers for their detailed comments and suggestions which greatly improved the manuscript. We also thank Xiaohong Jia and Yong-Liang Yang for proofreading. This work is partially supported by the Research Grant Council of Hong Kong (718209 and 718010), NSFC (11171322), and ANR/NSFC (60625202, 60911130368) Program.