• DocumentCode
    2816446
  • Title

    Car cockpit 3D reconstruction by a structured light sensor

  • Author

    Lequellec, Jean-Michel ; Lerasle, Frédéric

  • Author_Institution
    Siemens Autom. S.A., Toulouse, France
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    87
  • Lastpage
    92
  • Abstract
    A machine vision system based on a CCD camera combined with a light beam matrix is developed to output the 3D surface shape of vehicle cockpit occupancy. This paper focuses on the problem of image spots labeling: the matching between image spots and light beams is required for the triangulation procedure. The image spots are first extracted from the image. An initial set of possible spot/beam matchings is deduced from epipolar constraints provided by the prior calibration of the relative camera/projector position. Then, using the topological constraints in the 2D mesh of illuminated dots, a constraint propagation process, based on discrete relaxation eliminates most of the combinations possibilities from the initial set of matchings. From this matchings set, the 3D corresponding points are then computed via triangulation. Examples of 3D cockpit reconstruction are then presented
  • Keywords
    automobiles; computer vision; constraint handling; image matching; image reconstruction; solid modelling; topology; 2D mesh; 3D surface shape; automobiles; constraint propagation; image reconstruction; image spot matching; machine vision; topology; triangulation; vehicle cockpit; Calibration; Cameras; Charge coupled devices; Charge-coupled image sensors; Image reconstruction; Labeling; Machine vision; Shape; Surface reconstruction; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Vehicles Symposium, 2000. IV 2000. Proceedings of the IEEE
  • Conference_Location
    Dearborn, MI
  • Print_ISBN
    0-7803-6363-9
  • Type

    conf

  • DOI
    10.1109/IVS.2000.898323
  • Filename
    898323