Paper
1 December 1991 Linear resection, intersection, and perspective-independent model matching in photogrammetry: theory
Eamon B. Barrett, Michael H. Brill, Nils N. Haag, Paul Max Payton
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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.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Eamon B. Barrett, Michael H. Brill, Nils N. Haag, and Paul Max Payton "Linear resection, intersection, and perspective-independent model matching in photogrammetry: theory", Proc. SPIE 1567, Applications of Digital Image Processing XIV, (1 December 1991); https://doi.org/10.1117/12.50811
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Cited by 1 scholarly publication.
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KEYWORDS
Digital image processing

Cameras

Imaging systems

Systems modeling

Photogrammetry

Polonium

Matrices

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