• DocumentCode
    2916960
  • Title

    Projective alignment of range and parallax data

  • Author

    Hansard, Miles ; Horaud, Radu ; Amat, Michel ; Lee, Seungkyu

  • Author_Institution
    INRIA Grenoble Rhone-Alpes, Montbonnot, France
  • fYear
    2011
  • fDate
    20-25 June 2011
  • Firstpage
    3089
  • Lastpage
    3096
  • Abstract
    An approximately Euclidean representation of the visible scene can be obtained directly from a range, or `time-of-flight´, camera. An uncalibrated binocular system, in contrast, gives only a projective reconstruction of the scene. This paper analyzes the geometric mapping between the two representations, without requiring an intermediate calibration of the binocular system. The mapping can be found by either of two new methods, one of which requires point-correspondences between the range and colour cameras, and one of which does not. It is shown that these methods can be used to reproject the range data into the binocular images, which makes it possible to associate high-resolution colour and texture with each point in the Euclidean representation.
  • Keywords
    image colour analysis; image reconstruction; image representation; image resolution; image texture; Euclidean representation; binocular images; colour cameras; geometric mapping; high-resolution colour; parallax data; projective alignment; scene reconstruction; texture; uncalibrated binocular system; Calibration; Cameras; Equations; Image color analysis; Image edge detection; Image reconstruction; Minimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on
  • Conference_Location
    Providence, RI
  • ISSN
    1063-6919
  • Print_ISBN
    978-1-4577-0394-2
  • Type

    conf

  • DOI
    10.1109/CVPR.2011.5995533
  • Filename
    5995533