• 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