• DocumentCode
    3050457
  • Title

    Image interpolation by joint view triangulation

  • Author

    Lhuillier, Maxime ; Quan, Long

  • Author_Institution
    CNRS, INRIA, Montbonnot, France
  • Volume
    2
  • fYear
    1999
  • fDate
    1999
  • Abstract
    Creating novel views by interpolating prestored images or view morphing has many applications in visual simulation. We present in this paper a new method of automatically interpolating two images which tackles two most difficult problems of morphing due to the lack of depth informational pixel matching and visibility handling. We first describe a quasi-dense matching algorithm based on region growing with the best first strategy for match propagation. Then, we describe a robust construction of matched planar patches using local geometric constraints encoded by a homography. After that we introduce a novel representation, joint view triangulation, for visible and half-occluded patches in two images to handle their visibility during the creation of new view. Finally we demonstrate these techniques on real image pairs
  • Keywords
    image matching; image morphing; interpolation; rendering (computer graphics); depth informational pixel matching; geometric constraints; half-occluded patches; homography; image interpolation; joint view triangulation; prestored images; quasi-dense matching algorithm; real image pairs; robust construction; view morphing; visibility handling; visual simulation; Animation; Computer graphics; Computer vision; Image reconstruction; Interpolation; Layout; Pixel; Rendering (computer graphics); Tensile stress; Transmission line matrix methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 1999. IEEE Computer Society Conference on.
  • Conference_Location
    Fort Collins, CO
  • ISSN
    1063-6919
  • Print_ISBN
    0-7695-0149-4
  • Type

    conf

  • DOI
    10.1109/CVPR.1999.784621
  • Filename
    784621