DocumentCode
1710398
Title
Resampling of multiple camera point cloud data
Author
Belaifa, Oliver ; Skupin, Robert ; Kurutepe, Engin ; Sikora, Thomas
Author_Institution
Commun. Syst. Group, Tech. Univ. Berlin, Berlin, Germany
fYear
2012
Firstpage
15
Lastpage
19
Abstract
Even though the sampling grid of a digital camera is uniform and rectangular, the depth information reconstructed from multi-camera samples is neither uniform nor rectangular due to the rotations and translations of the camera coordinate systems with respect to each other. In order to facilitate further processing, e.g. compression of multi camera depth data, resampling of non-uniform multi-camera depth samples to a uniform rectangular grid is advantageous. In this paper, we introduce and compare two resampling methods using a voxel-based and a triangular-mesh-based approach.
Keywords
cameras; image sampling; sampling methods; three-dimensional television; video signal processing; camera coordinate systems; digital camera; multicamera depth data; multiple camera point cloud data; nonuniform multicamera depth samples; rectangular grid; resampling method; sampling grid; triangular mesh; voxel; Cameras; Estimation; Interpolation; PSNR; Stereo image processing; Three dimensional displays; Video sequences;
fLanguage
English
Publisher
ieee
Conference_Titel
Consumer Communications and Networking Conference (CCNC), 2012 IEEE
Conference_Location
Las Vegas, NV
Print_ISBN
978-1-4577-2070-3
Type
conf
DOI
10.1109/CCNC.2012.6181055
Filename
6181055
Link To Document