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3D shape template generation from RGB-D images capturing a moving and deforming object

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dc.contributor.author Takehara, Hikari en
dc.contributor.author Nakashima, Yuta en
dc.contributor.author Sato, Tomokazu en
dc.contributor.author Yokoya, Naokazu en
dc.date.accessioned 2016-12-26T06:41:37Z en
dc.date.available 2016-12-26T06:41:37Z en
dc.date.issued 2016 en
dc.identifier.uri http://hdl.handle.net/10061/11325 en
dc.description EI 2016 : IS&T International Symposium on Electronic Imaging , Feb 14-18, 2016 , San Francisco , CA , USA en
dc.description.abstract Automatically reconstructing a 3D shape model of a nonrigid object using a sequence from a single commodity RGB-D sensor is a challenging problem. Some techniques use a 3D shape template of a target object; however, in order to generate the template automatically, the target object required to be stationary. Otherwise, a non-rigid ICP algorithm, which registers a pair of point clouds, can be used for reconstructing 3D geometry of a non-rigid object directly, but it often fails due to the ambiguity in point correspondences. This paper presents a method for generating a 3D shape template from a single RGB-D sequence. In order to reduce the ambiguity in point correspondences, our method leverages point trajectories obtained in the RGB images, which can be used for associating points in different point clouds. We demonstrate the capability of our method using deforming human bodies. en
dc.language.iso en en
dc.publisher IS&T en
dc.rights Copyright c 2016 Society for Imaging Sciences and Technology en
dc.title 3D shape template generation from RGB-D images capturing a moving and deforming object en
dc.type.nii Conference Paper en
dc.textversion Publisher en
dc.identifier.spage 1 en
dc.identifier.epage 7 en
dc.relation.doi 10.2352/ISSN.2470-1173.2016.21.3DIPM-407 en
dc.identifier.NAIST-ID 73298663 en
dc.identifier.NAIST-ID 73292633 en
dc.identifier.NAIST-ID 73292286 en


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