Component-aware Semantic Modeling of Architectures from a Single Image

dc.contributor.authorHou, Feien_US
dc.contributor.authorZhao, Qinpingen_US
dc.contributor.authorQi, Yueen_US
dc.contributor.authorQin, Hongen_US
dc.contributor.editorBruno Levy and Xin Tong and KangKang Yinen_US
dc.date.accessioned2014-01-27T18:18:15Z
dc.date.available2014-01-27T18:18:15Z
dc.date.issued2013en_US
dc.description.abstractThis paper advocates a new component-aware framework to reconstruct 3D architecture from a single image. Different from existing work, our motivation is to obtain a complete set of semantically-correct 3D architectural components, which enables part reusability towards rapid model reproduction and facilitate model variation. The core of our system is a novel algorithm to adaptively segment repeated curved stripes (e.g., roof tiles, building floors) into individual elements, based on which 3D dimensions as well as architectural components are derived from a single image. Specially for Chinese architectures, we further devise an interactive method to identify outer columns based on user-specified inner columns. Finally, 3D components are generated and shape rules are derived, from which the buildings and their variants are constructed. Our new component-aware framework emphasizes component utility during rapid 3D architecture reproduction.en_US
dc.description.seriesinformationPacific Graphics Short Papersen_US
dc.identifier.isbn978-3-905674-50-7en_US
dc.identifier.urihttps://doi.org/10.2312/PE.PG.PG2013short.053-058en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.3.3 [Computer Graphics]en_US
dc.subjectPicture/Image Generationen_US
dc.subjectLine and curve generationen_US
dc.titleComponent-aware Semantic Modeling of Architectures from a Single Imageen_US
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