• DocumentCode
    438732
  • Title

    Multi-view geometry for general camera models

  • Author

    Sturm, Peter

  • Author_Institution
    INRIA Rhone-Alpes, GRAVIR-CNRS, Montbonnot, France
  • Volume
    1
  • fYear
    2005
  • fDate
    20-25 June 2005
  • Firstpage
    206
  • Abstract
    We consider the structure-from-motion problem for a highly general imaging model where cameras are modeled as possibly unconstrained sets of projection rays. This allows to describe most existing camera types, including pinhole cameras, sensors with radial or more general distortions, catadioptric cameras (central or non-central), etc. We introduce a hierarchy of general camera models: the most general model has unconstrained projection rays whereas the most constrained model dealt with here is the central model, where all rays pass through a single point. Intermediate models are what we call axial cameras (all rays touch a single line), and x-slit cameras (rays touch two lines). The foundations for a multi-view geometry of completely non-central cameras are given, leading to the formulation of multi-view matching tensors, analogous to the fundamental/essential matrices, trifocal and quadrifocal tensors of perspective cameras. This framework is then specialized explicitly for the two-view case, for the intermediate camera types mentioned above.
  • Keywords
    cameras; geometry; image motion analysis; axial cameras; camera models; catadioptric cameras; multi-view geometry; multiview matching tensors; pinhole cameras; radial distortions; structure-from-motion problem; unconstrained projection rays; x-slit cameras; Calibration; Cameras; Computer vision; Geometry; Optical distortion; Optical imaging; Pixel; Solid modeling; Stereo vision; Tensile stress;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on
  • ISSN
    1063-6919
  • Print_ISBN
    0-7695-2372-2
  • Type

    conf

  • DOI
    10.1109/CVPR.2005.237
  • Filename
    1467269