• DocumentCode
    2402277
  • Title

    A two-frame theory of motion, lighting and shape

  • Author

    Basri, Ronen ; Frolova, Darya

  • Author_Institution
    Dept. of Comput. Sci. & Appl. Math, Weizmann Inst. of Sci., Rehovot
  • fYear
    2008
  • fDate
    23-28 June 2008
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    This paper explores how shape, motion, and lighting interact in the case of a two-frame motion sequence. We consider a rigid object with Lambertian reflectance properties undergoing small motion with respect to both a camera and a stationary point light source. Assuming orthographic projection, we derive a single, first order quasilinear partial differential equation that relates shape, motion, and lighting, while eliminating out the albedo. We show how this equation can be solved, when the motion and lighting parameters are known, to produce a 3D reconstruction of the object. A solution is obtained using the method of characteristics and can be refined by adding regularization. We further show that both smooth bounding contours as well as surface markings can be used to derive Dirichlet boundary conditions. Experimental results demonstrate the quality of this reconstruction.
  • Keywords
    edge detection; image motion analysis; image reconstruction; image sequences; linear differential equations; partial differential equations; 3D object reconstruction; Dirichlet boundary conditions; Lambertian reflectance properties; first order quasilinear partial differential equation; lighting; shape recovery; smooth bounding contours; surface markings; two-frame motion sequence theory; Boundary conditions; Brightness; Cameras; Image reconstruction; Light sources; Partial differential equations; Photometry; Reflectivity; Shape; Surface reconstruction;
  • 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.2008.4587764
  • Filename
    4587764