5 July 1995 Feature entity least squares matching: a technique for the automatic control of imagery
Author Affiliations +
Abstract
Nonlinear modeling and solution techniques of array algebra are applied to the problem of simultaneous graph matching and photogrammetric bundle adjustment. Graph matching provides automatically the image coordinates and 2 X 2 weight matrices of `control entities', points and vertices of known relative geometrical shape which replace the control points used in traditional bundle adjustment. Inclusion of multiple control entities to cover the entire image area of interest allows the use of a fast new array algebra formation of real-time bundle adjustment to act as the pull-in mechanism for the global graph matching process. The resulting integrated solution of Feature Entity Least Squares Matching (FELSM) is very fast and produces high quality results. FELSM has demonstrated solutions to several problems of ongoing research interest in photogrammetry and the related fields of image understanding, pattern recognition and computer vision. These results open the way for further integration of the various fields.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Urho A. Rauhala, Walter J. Mueller, "Feature entity least squares matching: a technique for the automatic control of imagery", Proc. SPIE 2486, Integrating Photogrammetric Techniques with Scene Analysis and Machine Vision II, (5 July 1995); doi: 10.1117/12.213132; https://doi.org/10.1117/12.213132
PROCEEDINGS
14 PAGES


SHARE
RELATED CONTENT

Image-To-Map Registration
Proceedings of SPIE (December 23 1980)
Maximum Likelihood Estimation For Image Registration
Proceedings of SPIE (January 09 1984)
RADIUS: the government viewpoint
Proceedings of SPIE (April 01 1992)

Back to Top