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
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