• DocumentCode
    2044628
  • Title

    An Image-Based Rendering (IBR) Approach for Realistic Stereo View Synthesis of TV Broadcast Based on Structure from Motion

  • Author

    Knorr, Sebastian ; Sikora, Thomas

  • Author_Institution
    Tech. Univ. Berlin, Berlin
  • Volume
    6
  • fYear
    2007
  • fDate
    Sept. 16 2007-Oct. 19 2007
  • Abstract
    In the past years, the 3D display technology has become a booming branch of research with fast technical progress. Hence, the 3D conversion of already existing 2D video material increases more and more in popularity. In this paper, a new approach for realistic stereo view synthesis (RSVS) of existing 2D video material is presented. The intention of our work is not a real-time conversion of existing video material with a deduction in stereo perception, but rather a more realistic off-line conversion with high accuracy. Our approach is based on structure from motion techniques and uses image-based rendering to reconstruct the desired stereo views for each video frame. The algorithm is tested on several TV broadcast videos, as well as on sequences captured with a single handheld camera. Finally, some simulation results will show the remarkable performance of this approach.
  • Keywords
    digital video broadcasting; image motion analysis; image reconstruction; image sequences; rendering (computer graphics); stereo image processing; three-dimensional displays; three-dimensional television; video signal processing; 2D video material; 3D display technology; 3DTV technology; IBR approach; TV broadcast; image-based rendering; monocular video sequences; motion techniques; realistic stereo view synthesis; stereo view reconstruction; Cameras; Image converters; Image reconstruction; Layout; Parameter estimation; Rendering (computer graphics); Stereo image processing; TV broadcasting; Three dimensional displays; Video sequences; Image-based Rendering; Machine Vision; Stereo-view Synthesis; Structure-from-Motion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2007. ICIP 2007. IEEE International Conference on
  • Conference_Location
    San Antonio, TX
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-1437-6
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2007.4379649
  • Filename
    4379649