• DocumentCode
    986410
  • Title

    Image-Based Rendering and Synthesis

  • Author

    Chan, S.C. ; Shum, Heung-Yeung ; Ng, King-To

  • Volume
    24
  • Issue
    6
  • fYear
    2007
  • Firstpage
    22
  • Lastpage
    33
  • Abstract
    One of the most important applications in multiview imaging (MVI) is the development of advanced immersive viewing or visualization systems using, for instance, 3DTV. With the introduction of multiview TVs, it is expected that a new age of 3DTV systems will arrive in the near future. Image-based rendering (IBR) refers to a collection of techniques and representations that allow 3-D scenes and objects to be visualized in a realistic way without full 3-D model reconstruction. IBR uses images as the primary substrate. The potential for photorealistic visualization has tremendous appeal, and it has been receiving increasing attention over the years. Applications such as video games, virtual travel, and E-commerce stand to benefit from this technology. This article serves as a tutorial introduction and brief review of this important technology. First the classification, principles, and key research issues of IBR are discussed. Then, an object-based IBR system to illustrate the techniques involved and its potential application in view synthesis and processing are explained. Stereo matching, which is an important technique for depth estimation and view synthesis, is briefly explained and some of the top-ranked methods are highlighted. Finally, the challenging problem of interactive IBR is explained. Possible solutions and some state-of-the-art systems are also reviewed.
  • Keywords
    image matching; image representation; rendering (computer graphics); stereo image processing; three-dimensional television; 3DTV; image-based rendering; multiview imaging; object-based IBR system; photorealistic visualization; stereo matching; Computer graphics; Costs; Digital cameras; Image reconstruction; Image sampling; Layout; Rendering (computer graphics); Signal synthesis; TV; Visualization;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1053-5888
  • Type

    jour

  • DOI
    10.1109/MSP.2007.905702
  • Filename
    4388079