Structure-adaptive Shape Editing for Man-made Objects

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dc.contributor.authorFu, Qiangen_US
dc.contributor.authorChen, Xiaowuen_US
dc.contributor.authorSu, Xiaoyuen_US
dc.contributor.authorLi, Jiaen_US
dc.contributor.authorFu, Hongboen_US
dc.contributor.editorJoaquim Jorge and Ming Linen_US
dc.date.accessioned2016-04-26T08:36:56Z
dc.date.available2016-04-26T08:36:56Z
dc.date.issued2016en_US
dc.description.abstractOne of the challenging problems for shape editing is to adapt shapes with diversified structures for various editing needs. In this paper we introduce a shape editing approach that automatically adapts the structure of a shape being edited with respect to user inputs. Given a category of shapes, our approach first classifies them into groups based on the constituent parts. The group-sensitive priors, including both inter-group and intra-group priors, are then learned through statistical structure analysis and multivariate regression. By using these priors, the inherent characteristics and typical variations of shape structures can be well captured. Based on such group-sensitive priors, we propose a framework for real-time shape editing, which adapts the structure of shape to continuous user editing operations. Experimental results show that the proposed approach is capable of both structure-preserving and structure-varying shape editing.en_US
dc.description.number2en_US
dc.description.sectionheadersEditing, Sketch & Drawingen_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume35en_US
dc.identifier.doi10.1111/cgf.12808en_US
dc.identifier.issn1467-8659en_US
dc.identifier.pages027-036en_US
dc.identifier.urihttps://doi.org/10.1111/cgf.12808en_US
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.titleStructure-adaptive Shape Editing for Man-made Objectsen_US
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