• DocumentCode
    1519283
  • Title

    Flat Refractive Geometry

  • Author

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

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Univ. of California, San Diego, La Jolla, CA, USA
  • Volume
    34
  • Issue
    1
  • fYear
    2012
  • Firstpage
    51
  • Lastpage
    65
  • 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, besides 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. In addition, we examine by simulation the errors expected by using the SVP model. We show that when working at a constant range, the SVP model can be a good approximation.
  • Keywords
    approximation theory; computer vision; geometry; computer vision; flat refractive geometry; physics-based model; single viewpoint; system geometry; Calibration; Cameras; Computer vision; Geometry; Nonlinear distortion; Scene analysis; Three dimensional displays; 3D/stereo scene analysis; Computer vision; camera calibration; imaging geometry.; vision and scene understanding;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/TPAMI.2011.105
  • Filename
    5770266