Linear resection, intersection, and perspective-independent model matching in photogrammetry: theory

Details Linear resection, intersection, and perspective-independent model matching in photogrammetry: theory Linear resection, intersection, and perspective-independent model matching in photogrammetry: theory

Dec 1991

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1991spie.1567..142b&link_type=abstract

Proc. SPIE Vol. 1567, p. 142-169, Applications of Digital Image Processing XIV, Andrew G. Tescher; Ed.

Statistics

Applications

Scientific paper

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.

Affiliated with

Also associated with

No associations

Rating

Linear resection, intersection, and perspective-independent model matching in photogrammetry: theory does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Linear resection, intersection, and perspective-independent model matching in photogrammetry: theory, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Linear resection, intersection, and perspective-independent model matching in photogrammetry: theory will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-1268724