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Proceedings Paper

Linear resection, intersection, and perspective-independent model matching in photogrammetry: theory
Author(s): Eamon B. Barrett; Michael H. Brill; Nils N. Haag; Paul Max Payton
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Paper Abstract

For several useful tasks in photogrammetry and in model-based vision, this paper develops noniterative methods that require only the inversion of systems of linear equations. The methods are based on the theory of projective invariants. The following tasks are addressed: (a) Resection, or determination of parameters of acquisition geometry (requires six control points); (b) Intersection, or determination of the position of an object point from several images; and (c) Transfer, or model matching, which uses the image coordinates of a ground point in two images to predict the coordinates of that point in a third image in the presence of several other tie points in the three images.

Paper Details

Date Published: 1 December 1991
PDF: 28 pages
Proc. SPIE 1567, Applications of Digital Image Processing XIV, (1 December 1991); doi: 10.1117/12.50811
Show Author Affiliations
Eamon B. Barrett, Lockheed Missiles & Space Co., Inc. (United States)
Michael H. Brill, Science Applications International Corp. (United States)
Nils N. Haag, Science Applications International Corp. (United States)
Paul Max Payton, Lockheed Missiles & Space Co., Inc. (United States)


Published in SPIE Proceedings Vol. 1567:
Applications of Digital Image Processing XIV
Andrew G. Tescher, Editor(s)

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