• DocumentCode
    2920444
  • Title

    The light-path less traveled

  • Author

    Ramalingam, Srikumar ; Bouaziz, Sofien ; Sturm, Peter ; Torr, Philip H S

  • Author_Institution
    Mitsubishi Electr. Res. Lab. (MERL), Cambridge, MA, USA
  • fYear
    2011
  • fDate
    20-25 June 2011
  • Firstpage
    3145
  • Lastpage
    3152
  • Abstract
    This paper extends classical object pose and relative camera motion estimation algorithms for imaging sensors sampling the scene through light-paths. Many algorithms in multi-view geometry assume that every pixel observes light traveling in a single line in space. We wish to relax this assumption and address various theoretical and practical issues in modeling camera rays as piece-wise linear-paths. Such paths consisting of finitely many linear segments are typical of any simple camera configuration with reflective and refractive elements. Our main contribution is to propose efficient algorithms that can work with the complete light-path without knowing the correspondence between their individual segments and the scene points. Second, we investigate light-paths containing infinitely many and small piece-wise linear segments that can be modeled using simple parametric curves such as conics. We show compelling simulations and real experiments, involving catadioptric configurations and mirages, to validate our study.
  • Keywords
    cameras; image sampling; image segmentation; image sensors; motion estimation; natural scenes; pose estimation; camera motion estimation algorithm; camera ray modeling; imaging sensor; light path; multiview geometry; object pose estimation algorithm; parametric curves; piecewise linear segment; scene sampling; Cameras; Estimation; Image segmentation; Mirrors; Motion estimation; Motion segmentation; Three dimensional displays;
  • 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.2011.5995706
  • Filename
    5995706