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dc.contributor.authorPauly, Marken_US
dc.contributor.authorMitra, Niloy J.en_US
dc.contributor.authorGiesen, Joachimen_US
dc.contributor.authorGross, Markusen_US
dc.contributor.authorGuibas, Leonidas J.en_US
dc.contributor.editorMathieu Desbrun and Helmut Pottmannen_US
dc.date.accessioned2014-01-29T09:31:05Z
dc.date.available2014-01-29T09:31:05Z
dc.date.issued2005en_US
dc.identifier.isbn3-905673-24-Xen_US
dc.identifier.issn1727-8384en_US
dc.identifier.urihttp://dx.doi.org/10.2312/SGP/SGP05/023-032en_US
dc.description.abstractWe present a novel approach for obtaining a complete and consistent 3D model representation from incomplete surface scans, using a database of 3D shapes to provide geometric priors for regions of missing data. Our method retrieves suitable context models from the database, warps the retrieved models to conform with the input data, and consistently blends the warped models to obtain the final consolidated 3D shape. We define a shape matching penalty function and corresponding optimization scheme for computing the non-rigid alignment of the context models with the input data. This allows a quantitative evaluation and comparison of the quality of the shape extrapolation provided by each model. Our algorithms are explicitly designed to accommodate uncertain data and can thus be applied directly to raw scanner output. We show on a variety of real data sets how consistent models can be obtained from highly incomplete input. The information gained during the shape completion process can be utilized for future scans, thus continuously simplifying the creation of complex 3D models.en_US
dc.publisherThe Eurographics Associationen_US
dc.titleExample-Based 3D Scan Completionen_US
dc.description.seriesinformationEurographics Symposium on Geometry Processing 2005en_US


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