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Efficient surface completion using principal curvature and its evaluation

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dc.contributor.author Kawai, Norihiko en
dc.contributor.author Sato, Tomokazu en
dc.contributor.author Yokoya, Naokazu en
dc.date.accessioned 2016-12-26T06:41:24Z en
dc.date.available 2016-12-26T06:41:24Z en
dc.date.issued 2009 en
dc.identifier.isbn 9781424456536 en
dc.identifier.uri http://hdl.handle.net/10061/11234 en
dc.description ICIP 2009 : 16th IEEE International Conference on Image Processing , Nov 7-10, 2009 , Cairo, Egypt en
dc.description.abstract Surface completion is a technique for filling missing regions in 3D models measured by range scanners and videos. Conventionally, although missing regions were filled with the similar shape in a model, the completion process was fairly inefficient because the whole region in the model was searched for the similar shape. In this paper, the completion is efficiently performed using principal curvatures of local shape. In experiments, the effectiveness of the proposed method is successfully verified with subjective evaluation. In addition, the quantitative evaluation which has not been in the literature is newly performed. en
dc.language.iso en en
dc.publisher IEEE en
dc.rights Copyright c 2009 IEEE en
dc.subject computer graphics en
dc.subject image reconstruction en
dc.subject video signal processing en
dc.subject 3D models en
dc.subject efficient surface completion en
dc.subject principal curvature en
dc.subject quantitative evaluation en
dc.subject range scanners en
dc.subject subjective evaluation en
dc.subject Filling en
dc.subject Performance evaluation en
dc.subject Shape en
dc.subject Videos en
dc.subject Energy Minimization en
dc.subject Principal Curvature en
dc.subject Surface Completion en
dc.title Efficient surface completion using principal curvature and its evaluation en
dc.type.nii Conference Paper en
dc.textversion Author en
dc.identifier.ncid BB02047072 en
dc.identifier.spage 521 en
dc.identifier.epage 524 en
dc.relation.doi 10.1109/ICIP.2009.5413960 en
dc.identifier.NAIST-ID 73296568 en
dc.identifier.NAIST-ID 73292633 en
dc.identifier.NAIST-ID 73292286 en


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