Discovering Structured Variations Via Template Matching

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dc.contributor.authorCeylan, Duyguen_US
dc.contributor.authorDang, Minhen_US
dc.contributor.authorMitra, Niloy J.en_US
dc.contributor.authorNeubert, Borisen_US
dc.contributor.authorPauly, Marken_US
dc.contributor.editorChen, Min and Zhang, Hao (Richard)en_US
dc.date.accessioned2017-03-13T18:13:00Z
dc.date.available2017-03-13T18:13:00Z
dc.date.issued2017
dc.description.abstractUnderstanding patterns of variation from raw measurement data remains a central goal of shape analysis. Such an understanding reveals which elements are repeated, or how elements can be derived as structured variations from a common base element. We investigate this problem in the context of 3D acquisitions of buildings. Utilizing a set of template models, we discover geometric similarities across a set of building elements. Each template is equipped with a deformation model that defines variations of a base geometry. Central to our algorithm is a simultaneous template matching and deformation analysis that detects patterns across building elements by extracting similarities in the deformation modes of their matching templates. We demonstrate that such an analysis can successfully detect structured variations even for noisy and incomplete data. Understanding patterns of variation from raw measurement data remains a central goal of shape analysis. Such an understanding reveals which elements are repeated, or how elements can be derived as structured variations from a common base element. We investigate this problem in the context of 3D acquisitions of buildings. Utilizing a set of template models, we discover geometric similarities across a set of building elements. Each template is equipped with a deformation model that defines variations of a base geometry.en_US
dc.description.number1
dc.description.sectionheadersArticles
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume36
dc.identifier.doi10.1111/cgf.12788
dc.identifier.issn1467-8659
dc.identifier.urihttps://doi.org/10.1111/cgf.12788
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf12788
dc.publisher© 2017 The Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectshape analysis
dc.subjecttemplate matching
dc.subjectI.3.5 [Computer Graphics]: Computational Geometry and Object Modelling
dc.titleDiscovering Structured Variations Via Template Matchingen_US
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