• DocumentCode
    3015270
  • Title

    On the Spacetime Geometry of Galilean Cameras

  • Author

    Sheikh, Yaser ; Gritai, Alexei ; Shah, Mubarak

  • Author_Institution
    Carnegie Mellon Univ, Pittsburgh
  • fYear
    2007
  • fDate
    17-22 June 2007
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    In this paper, a projection model is presented for cameras moving at constant velocity (which we refer to as Galilean cameras). To that end, we introduce the concept of spacetime projection and show that perspective imaging and linear pushbroom imaging are specializations of the proposed model. The epipolar geometry between two such cameras is developed and we derive the Galilean fundamental matrix. We show how six different "fundamental" matrices can be directly recovered from the Galilean fundamental matrix including the classic fundamental matrix, the linear pushbroom (LP) fundamental matrix and a fundamental matrix relating epipolar plane images (EPIs). To estimate the parameters of this fundamental matrix and the mapping between videos in the case of planar scenes we describe linear algorithms and report experimental performance of these algorithms.
  • Keywords
    video cameras; video signal processing; Galilean cameras; Galilean fundamental matrix; epipolar geometry; epipolar plane images; linear algorithms; linear pushbroom imaging; perspective imaging; spacetime geometry; Cameras; Computational geometry; Computer vision; Laboratories; Layout; Orbital robotics; Parameter estimation; Robot vision systems; Transmission line matrix methods; Videos;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on
  • Conference_Location
    Minneapolis, MN
  • ISSN
    1063-6919
  • Print_ISBN
    1-4244-1179-3
  • Electronic_ISBN
    1063-6919
  • Type

    conf

  • DOI
    10.1109/CVPR.2007.383114
  • Filename
    4270139