• DocumentCode
    1748642
  • Title

    Geometrical fundamentals of polycentric panoramas

  • Author

    Huang, Fay ; Wei, Shou Kang ; Klette, Reinhard

  • Author_Institution
    Dept. of Comput. Sci., Auckland Univ., New Zealand
  • Volume
    1
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    560
  • Abstract
    This paper proposes polycentric panoramas as a general model of panoramic images. The model formalizes essential characteristics of panoramic geometry. It is able to describe a wide range of panoramic images, including those potentially of future interest, or previously introduced such as single-center, multi-perspective, or concentric panoramas. This paper presents geometrical fundamentals towards stereo applications based on sets of polycentric panoramas. We discuss the image acquisition model, epipolar geometry and a 3D reconstruction approach for this general model of polycentric panoramas. Our theorems on epipolar curve and 3D reconstruction hold for any pair of polycentric panoramas. Corollaries demonstrate that the proposed mathematical model clarifies the understanding and characterization of more specific models. Epipolar curves of special cases are illustrated on panoramic images acquired by a high resolution line-camera
  • Keywords
    computational geometry; computer vision; image reconstruction; stereo image processing; 3D reconstruction; 3D reconstruction approach; epipolar curve; epipolar geometry; geometrical fundamentals; image acquisition model; panoramic geometry; panoramic images; polycentric panoramas; stereo applications; Cameras; Computational Intelligence Society; Computer science; Geometry; Image reconstruction; Layout; Navigation; Solid modeling; Stability; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision, 2001. ICCV 2001. Proceedings. Eighth IEEE International Conference on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    0-7695-1143-0
  • Type

    conf

  • DOI
    10.1109/ICCV.2001.937566
  • Filename
    937566