Show simple item record

dc.contributor.authorLiu, Zhenbaoen_US
dc.contributor.authorTang, Sicongen_US
dc.contributor.authorXu, Weiweien_US
dc.contributor.authorBu, Shuhuien_US
dc.contributor.authorHan, Junweien_US
dc.contributor.authorZhou, Kunen_US
dc.contributor.editorJ. Keyser, Y. J. Kim, and P. Wonkaen_US
dc.date.accessioned2015-03-03T12:54:03Z
dc.date.available2015-03-03T12:54:03Z
dc.date.issued2014en_US
dc.identifier.issn1467-8659en_US
dc.identifier.urihttp://dx.doi.org/10.1111/cgf.12495en_US
dc.description.abstractSince indoor scenes are frequently changed in daily life, such as re-layout of furniture, the 3D reconstructions for them should be flexible and easy to update. We present an automatic 3D scene update algorithm to indoor scenes by capturing scene variation with RGBD cameras. We assume an initial scene has been reconstructed in advance in manual or other semi-automatic way before the change, and automatically update the reconstruction according to the newly captured RGBD images of the real scene update. It starts with an automatic segmentation process without manual interaction, which benefits from accurate labeling training from the initial 3D scene. After the segmentation, objects captured by RGBD camera are extracted to form a local updated scene. We formulate an optimization problem to compare to the initial scene to locate moved objects. The moved objects are then integrated with static objects in the initial scene to generate a new 3D scene. We demonstrate the efficiency and robustness of our approach by updating the 3D scene of several real-world scenes.en_US
dc.publisherThe Eurographics Association and John Wiley and Sons Ltd.en_US
dc.titleAutomatic 3D Indoor Scene Updating with RGBD Camerasen_US
dc.description.seriesinformationComputer Graphics Forumen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

  • 33-Issue 7
    Pacific Graphics 2014 - Special Issue

Show simple item record