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dc.contributor.authorWang, Yiqun
dc.contributor.authorYan, Dong-Ming
dc.contributor.authorLiu, Xiaohan
dc.contributor.authorTang, Chengcheng
dc.contributor.authorGuo, Jianwei
dc.contributor.authorZhang, Xiaopeng
dc.contributor.authorWonka, Peter
dc.date.accessioned2018-05-29T11:09:56Z
dc.date.available2018-05-29T11:09:56Z
dc.date.issued2018-05-18
dc.identifier.citationWang Y, Yan D-M, Liu X, Tang C, Guo J, et al. (2018) Isotropic Surface Remeshing without Large and Small Angles. IEEE Transactions on Visualization and Computer Graphics: 1–1. Available: http://dx.doi.org/10.1109/tvcg.2018.2837115.
dc.identifier.issn1077-2626
dc.identifier.doi10.1109/tvcg.2018.2837115
dc.identifier.urihttp://hdl.handle.net/10754/627978
dc.description.abstractWe introduce a novel algorithm for isotropic surface remeshing which progressively eliminates obtuse triangles and improves small angles. The main novelty of the proposed approach is a simple vertex insertion scheme that facilitates the removal of large angles, and a vertex removal operation that improves the distribution of small angles. In combination with other standard local mesh operators, e.g., connectivity optimization and local tangential smoothing, our algorithm is able to remesh efficiently a low-quality mesh surface. Our approach can be applied directly or used as a post-processing step following other remeshing approaches. Our method has a similar computational efficiency to the fastest approach available, i.e., real-time adaptive remeshing [1]. In comparison with state-of-the-art approaches, our method consistently generates better results based on evaluations using different metrics.
dc.description.sponsorshipWe thank anonymous reviewer for their valuable comments and suggestions. This work is partially funded by the National Natural Science Foundation of China (61772523, 61620106003, 61331018), the Beijing Natural Science Foundation (4184102), and the KAUST Visual Computing Center. Y. Wang and D.-M. Yan are joint first author with equal contribution. D.-M. Yan is the corresponding author.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttps://ieeexplore.ieee.org/document/8361045/
dc.rights(c) 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
dc.subjectComplexity theory
dc.subjectGeometry
dc.subjectIsotropic remeshing
dc.subjectlocal operation
dc.subjectMeasurement
dc.subjectMesh generation
dc.subjectnon-obtuse remeshing
dc.subjectOptimization
dc.subjectReal-time systems
dc.subjectSmoothing methods
dc.subjecttriangle quality
dc.titleIsotropic Surface Remeshing without Large and Small Angles
dc.typeArticle
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentComputer Science Program
dc.contributor.departmentVisual Computing Center (VCC)
dc.identifier.journalIEEE Transactions on Visualization and Computer Graphics
dc.eprint.versionPost-print
dc.contributor.institutionNLPR, Institution of automation, Chinese Academy of Sciences, Beijing, Beijing China
dc.contributor.institutionComputer Science, Stanford University, Santa Clara County, California United States
dc.contributor.institutionNLPR, CASIA, Beijing, Beijing China
dc.contributor.institutionLIAMA-NLPR, Institute of Automation, Chinese Academy of Sciences, Beijing, Beijing China
kaust.personWonka, Peter
refterms.dateFOA2018-06-14T06:45:41Z
dc.date.published-online2018-05-18
dc.date.published-print2019-07-01


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