Seam Elimination in Free-Viewpoint Video

Examensarbete för masterexamen

Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12380/234937
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Type: Examensarbete för masterexamen
Master Thesis
Title: Seam Elimination in Free-Viewpoint Video
Authors: Bristav, Karl
Abstract: Free-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.
Keywords: Data- och informationsvetenskap;Computer and Information Science
Issue Date: 2016
Publisher: Chalmers tekniska högskola / Institutionen för data- och informationsteknik (Chalmers)
Chalmers University of Technology / Department of Computer Science and Engineering (Chalmers)
URI: https://hdl.handle.net/20.500.12380/234937
Collection:Examensarbeten för masterexamen // Master Theses



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