Seam Elimination in Free-Viewpoint Video

dc.contributor.authorBristav, Karl
dc.contributor.departmentChalmers tekniska högskola / Institutionen för data- och informationsteknik (Chalmers)sv
dc.contributor.departmentChalmers University of Technology / Department of Computer Science and Engineering (Chalmers)en
dc.date.accessioned2019-07-03T13:52:53Z
dc.date.available2019-07-03T13:52:53Z
dc.date.issued2016
dc.description.abstractFree-viewpoint video (FVV) is a term for any system that lets users freely adjust the viewpoint in a video to novel positions, synthesized from source data in the video stream. Recent advances in the area by K ampe et al. suggest encoding the geometric information separately as dynamic 3D voxel data, together with RGB-video streams from a set of standard RGB cameras capturing the scene from individual view points. During play back, the 3D voxel data is rendered and the color information from the RGB cameras are back-projected onto this geometry, to provide the nal result per frame. In the setting of a voxelized geometry and a number of RGB camera streams, some graphical artifacts may occur if the images of the cameras are projected onto the geometry with equal weights. We refer to this as the naive method. To alleviate these issues, three methods are proposed, all building on calculating weights for use in a weighted averaging when calculating the final color of a piece of geometry. The most promising of the proposed methods is implemented and tested against an implementation of the naive method. The results show that our method reduces the number of graphical artifacts while keeping the processing time low.
dc.identifier.urihttps://hdl.handle.net/20.500.12380/234937
dc.language.isoeng
dc.setspec.uppsokTechnology
dc.subjectData- och informationsvetenskap
dc.subjectComputer and Information Science
dc.titleSeam Elimination in Free-Viewpoint Video
dc.type.degreeExamensarbete för masterexamensv
dc.type.degreeMaster Thesisen
dc.type.uppsokH
local.programmeComputer science – algorithms, languages and logic (MPALG), MSc
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