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Moving object detection from a point cloud using photometric and depth consistencies

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dc.contributor.author Takabe, Atsushi en
dc.contributor.author Takehara, Hikari en
dc.contributor.author Kawai, Norihiko en
dc.contributor.author Sato, Tomokazu en
dc.contributor.author Machida, Takashi en
dc.contributor.author Nakanishi, Satoru en
dc.contributor.author Yokoya, Naokazu en
dc.date.accessioned 2018-03-28T05:33:57Z en
dc.date.available 2018-03-28T05:33:57Z en
dc.date.issued 2017-04-24 en
dc.identifier.uri http://hdl.handle.net/10061/12228 en
dc.description ICPR 2016: 23rd International Conference on Pattern Recognition, Dec 4-8, 2016, Cancun, Mexico en
dc.description.abstract 3D models of outdoor environments have been used for several applications such as a virtual earth system and a vision-based vehicle safety system. 3D data for constructing such 3D models are often measured by an on-vehicle system equipped with laser rangefinders, cameras, and GPS/IMU. However, 3D data of moving objects on streets lead to inaccurate 3D models when modeling outdoor environments. To solve this problem, this paper proposes a moving object detection method for point clouds by minimizing an energy function based on photometric and depth consistencies assuming that input data consist of synchronized point clouds, images, and camera poses from a single sequence captured with a moving on-vehicle system. en
dc.language.iso en en
dc.publisher IEEE en
dc.rights Copyright c 2016, IEEE en
dc.subject Three-dimensional displays en
dc.subject Solid modeling en
dc.subject Cameras en
dc.subject Data models en
dc.subject Object detection en
dc.subject Measurement by laser beam en
dc.subject Histograms en
dc.title Moving object detection from a point cloud using photometric and depth consistencies en
dc.type.nii Conference Paper en
dc.textversion author en
dc.identifier.spage 561 en
dc.identifier.epage 566 en
dc.relation.doi 10.1109/ICPR.2016.7899693 en
dc.identifier.NAIST-ID 73296568 en
dc.identifier.NAIST-ID 73292633 en
dc.identifier.NAIST-ID 73292286 en


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