• DocumentCode
    3207051
  • Title

    Some invariant linear methods in photogrammetry and model-matching

  • Author

    Barrett, Eamon B. ; Brill, Michael H. ; Haag, Nils N. ; Payton, Paul M.

  • Author_Institution
    Lockheed Missiles & Space Co., Sunnyvale, CA, USA
  • fYear
    1992
  • fDate
    15-18 Jun 1992
  • Firstpage
    122
  • Lastpage
    128
  • Abstract
    For several useful tasks in photogrammetry and in model-based vision, noniterative methods that require only the inversion of systems of linear equations are developed. The methods are based on the theory of projective invariants. The tasks addressed are resection, intersection, and transfer, or model matching (with or without ground control points). The following kinds of transfer are examined: (a) coplanar object points (transfer to image 2 done using four reference points in image 1); (b) stereo camera system (transfer to stereo camera pair 2 done using four reference points in stereo pair 1); (c) general multicamera configuration (transfer of a ninth point to image 3 done using eight tie points in images 1 and 2)
  • Keywords
    computational geometry; computer vision; invariance; inverse problems; photogrammetry; coplanar object points; intersection; linear equations; model-based vision; model-matching; multicamera configuration; noniterative methods; photogrammetry; projective invariants; resection; stereo camera system; Cameras; Computational geometry; Control systems; Electrical capacitance tomography; Missiles; Nonlinear equations; Solid modeling; Terminology; Workstations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 1992. Proceedings CVPR '92., 1992 IEEE Computer Society Conference on
  • Conference_Location
    Champaign, IL
  • ISSN
    1063-6919
  • Print_ISBN
    0-8186-2855-3
  • Type

    conf

  • DOI
    10.1109/CVPR.1992.223217
  • Filename
    223217