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dc.contributor.authorCao, Yuanhao
dc.contributor.authorYan, Dongming
dc.contributor.authorWonka, Peter
dc.date.accessioned2015-08-03T12:29:02Z
dc.date.available2015-08-03T12:29:02Z
dc.date.issued2015-02
dc.identifier.issn00978493
dc.identifier.doi10.1016/j.cag.2014.09.022
dc.identifier.urihttp://hdl.handle.net/10754/564029
dc.description.abstractThe patch layout of 3D surfaces reveals the high-level geometric and topological structures. In this paper, we study the patch layout computation by detecting and enclosing feature loops on surfaces. We present a hybrid framework which combines several key ingredients, including feature detection, feature filtering, feature curve extension, patch subdivision and boundary smoothing. Our framework is able to compute patch layouts through concave features as previous approaches, but also able to generate nice layouts through smoothing regions. We demonstrate the effectiveness of our framework by comparing with the state-of-the-art methods.
dc.description.sponsorshipThis work was funded by the MUST Visual Computing Center, Boeing company, the National Natural Science Foundation of China (61372168, 61331018, and 61271431), and the U.S. NSF.
dc.publisherElsevier BV
dc.subjectCurve network
dc.subjectFitting
dc.subjectPatch layout
dc.subjectSegmentation
dc.titlePatch layout generation by detecting feature networks
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.journalComputers & Graphics
dc.contributor.institutionNLPR-LIAMA, Institute of Automation, Chinese Academy of Sciences, China
dc.contributor.institutionDepartment of Computer Science and Engineering, Arizona State University, United States
kaust.personCao, Yuanhao
kaust.personYan, Dongming
kaust.personWonka, Peter


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