• DocumentCode
    2516783
  • Title

    Visibility of Multiple Cameras in a Scene with Unknown Geometry

  • Author

    Zhang, Liuxin ; Jia, Yunde

  • Author_Institution
    Beijing Lab. of Intell. Inf. Technol., Beijing Inst. of Technol., Beijing, China
  • fYear
    2010
  • fDate
    23-26 Aug. 2010
  • Firstpage
    3619
  • Lastpage
    3622
  • Abstract
    In this paper, we investigate the problem of determining the visible regions of multiple cameras in a 3D scene without a priori knowledge of the scene geometry. Our approach is based on a variational energy functional where both the unresolved visibility information of multiple cameras and the unknown scene geometry are included. We cast visibility estimation and scene geometry reconstruction as an optimization of the variational energy functional amenable for minimization with the Euler-Lagrange driven evolution. Starting from any initial value, the accurate visibility of multiple cameras as well as the true scene geometry can be obtained at the end of the evolution. Experimental results show the validity of our approach.
  • Keywords
    cameras; geometry; optimisation; 3D scene; Euler-Lagrange driven evolution; multiple cameras; scene geometry reconstruction; unknown scene geometry; visibility estimation; Cameras; Estimation; Geometry; Image reconstruction; Level set; Surface reconstruction; Three dimensional displays; image-based modeling; implicit surface; level set method; multiple cameras; visibility estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition (ICPR), 2010 20th International Conference on
  • Conference_Location
    Istanbul
  • ISSN
    1051-4651
  • Print_ISBN
    978-1-4244-7542-1
  • Type

    conf

  • DOI
    10.1109/ICPR.2010.883
  • Filename
    5597901