• DocumentCode
    2403596
  • Title

    Flat refractive geometry

  • Author

    Treibitz, Tali ; Schechner, Yoav Y. ; Singh, Hanumant

  • Author_Institution
    Dept. of Electr. Eng. Technion, Technion-Israel Inst. of Technol., Haifa
  • fYear
    2008
  • fDate
    23-28 June 2008
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    While the study of geometry has mainly concentrated on single-viewpoint (SVP) cameras, there is growing attention to more general non-SVP systems. Here we study an important class of systems that inherently have a non-SVP: a perspective camera imaging through an interface into a medium. Such systems are ubiquitous: they are common when looking into water-based environments. The paper analyzes the common flat-interface class of systems. It characterizes the locus of the viewpoints (caustic) of this class, and proves that the SVP model is invalid in it. This may explain geometrical errors encountered in prior studies. Our physics-based model is parameterized by the distance of the lens from the medium interface, beside the focal length. The physical parameters are calibrated by a simple approach that can be based on a single-frame. This directly determines the system geometry. The calibration is then used to compensate for modeled system distortion. Based on this model, geometrical measurements of objects are significantly more accurate, than if based on an SVP model. This is demonstrated in real-world experiments.
  • Keywords
    calibration; cameras; object recognition; flat refractive geometry; perspective camera imaging; physics-based model; single-viewpoint cameras; system distortion; system geometry; Cameras; Computer vision; Geometry; Humans; Marine animals; Marine technology; Microscopy; Robot vision systems; Solid modeling; Stereo vision;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on
  • Conference_Location
    Anchorage, AK
  • ISSN
    1063-6919
  • Print_ISBN
    978-1-4244-2242-5
  • Electronic_ISBN
    1063-6919
  • Type

    conf

  • DOI
    10.1109/CVPR.2008.4587844
  • Filename
    4587844