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dc.contributor.authorYan, Dongming
dc.contributor.authorGuo, Jianwei
dc.contributor.authorJia, Xiaohong
dc.contributor.authorZhang, Xiaopeng
dc.contributor.authorWonka, Peter
dc.date.accessioned2015-08-24T08:36:27Z
dc.date.available2015-08-24T08:36:27Z
dc.date.issued2014-08-23
dc.identifier.issn01677055
dc.identifier.doi10.1111/cgf.12442
dc.identifier.urihttp://hdl.handle.net/10754/575716
dc.description.abstractIn this paper, we present a novel method for surface sampling and remeshing with good blue-noise properties. Our approach is based on the farthest point optimization (FPO), a relaxation technique that generates high quality blue-noise point sets in 2D. We propose two important generalizations of the original FPO framework: adaptive sampling and sampling on surfaces. A simple and efficient algorithm for accelerating the FPO framework is also proposed. Experimental results show that the generalized FPO generates point sets with excellent blue-noise properties for adaptive and surface sampling. Furthermore, we demonstrate that our remeshing quality is superior to the current state-of-the art approaches. © 2014 The Eurographics Association and John Wiley & Sons Ltd.
dc.description.sponsorshipWe are grateful to anonymous reviewers for their suggestive comments. We would like to thank Liyi Wei and Rui Wang for sharing the DDA tool, Zhonggui Chen, Ligang Liu and Esdras Medeiros for providing us with their results for comparison. This work was partially supported by the KAUST Visual Computing Center, the National Natural Science Foundation of China (nos. 61372168, 61331018, 61271431, 11201463), and the U.S. National Science Foundation.
dc.publisherWiley
dc.relation.urlhttps://youtu.be/2AOGAXkrGZQ
dc.subjectCategories and Subject Descriptors (according to ACM CCS)
dc.subjectI.3.6 [Computer Graphics]: Methodology and Techniques - Blue-noise sampling and remeshing
dc.titleBlue-noise remeshing with farthest point optimization
dc.typeArticle
dc.contributor.departmentVisual Computing Center (VCC)
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentComputer Science Program
dc.identifier.journalComputer Graphics Forum
dc.contributor.institutionNLPR, Institute of Automation, CAS, United Kingdom
dc.contributor.institutionKLMM, AMSS, CAS, United Kingdom
dc.contributor.institutionArizona State Univ., United States
dc.relation.embedded<iframe width="560" height="315" src="https://www.youtube.com/embed/2AOGAXkrGZQ?rel=0" frameborder="0" allow="autoplay; encrypted-media" allowfullscreen></iframe>
kaust.personYan, Dongming
kaust.personWonka, Peter
kaust.acknowledged.supportUnitVisual Computing Center
dc.date.published-online2014-08-23
dc.date.published-print2014-08


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