A REAL TIME IMPLEMENTATION OF 3D SYMMETRIC OBJECT RECONSTRUCTION

dc.contributor.advisorAloimonos, Yiannisen_US
dc.contributor.authorXi, Liangchenen_US
dc.contributor.departmentElectrical Engineeringen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.date.accessioned2017-06-22T06:08:11Z
dc.date.available2017-06-22T06:08:11Z
dc.date.issued2017en_US
dc.description.abstractKinectFusion is a surface reconstruction method to allow a user to rapidly generate a 3D model of an indoor scene by moving a standard Kinect camera. With a GPU-based pipeline, the system takes in live depth data from a moving Kinect camera and can create a high-quality 3D model in real time. In this thesis, in order to increase the utility of 3D reconstruction for the symmetric objects, we augment the reconstruction algorithm by adding an occupancy mapping step on top of the surface reconstruction. This is achieved by combining the GPU-based KinectFusion with the CPU-based occupancy mapping algorithm Octomap. The resulting system runs in real time and is used as an input to the symmetry detection algorithm. Tested by the Kinect video stream, our results demonstrate an accurate colored 3D surface reconstruction, which is useful for symmetry detection.en_US
dc.identifierhttps://doi.org/10.13016/M2SW0R
dc.identifier.urihttp://hdl.handle.net/1903/19416
dc.language.isoenen_US
dc.subject.pqcontrolledComputer engineeringen_US
dc.subject.pqcontrolledComputer scienceen_US
dc.subject.pquncontrolledKinectFusionen_US
dc.subject.pquncontrolledOctomapen_US
dc.subject.pquncontrolledReal timeen_US
dc.subject.pquncontrolledSurface Reconstrutionen_US
dc.subject.pquncontrolledSymmetry detectionen_US
dc.titleA REAL TIME IMPLEMENTATION OF 3D SYMMETRIC OBJECT RECONSTRUCTIONen_US
dc.typeThesisen_US

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