First order design strategies for industrial photogrammetry

Dieter Fritsch; Fabio Crosilla

doi:10.1117/12.2294298

1 August 1990 First order design strategies for industrial photogrammetry

Dieter Fritsch, Fabio Crosilla

Proceedings Volume 1395, Close-Range Photogrammetry Meets Machine Vision; 13951J (1990) https://doi.org/10.1117/12.2294298
Event: Close-Range Photogrammetry Meets Machine Vision, 1990, Zurich, Switzerland

Abstract

The optimum determination of the position of projective centres in industrial photogrammetry can be solved twofold: On the one hand simulations can contribute considerably to solve the problem, and on the other hand analytic formulations might be used. For reasons of powerful network design the latter ones are preferred because here different objective functions can be integrated in one solution strategy only. The paper reviews the state-of-the-art in analytic first order design. It introduces criterion matrices for the coordinates, which are the 'observations' for solving the design matrices. The algorithm used during optimization is the Lemke algorithm. That means, the optimization is performed by quadratic programming being in correspondence with linear complementarity problems. Besides the objective functions for coordinates further boundary conditions have to be considered such as constraints in accuracy, position and costs.

Citation Download Citation

Dieter Fritsch and Fabio Crosilla "First order design strategies for industrial photogrammetry", Proc. SPIE 1395, Close-Range Photogrammetry Meets Machine Vision, 13951J (1 August 1990); https://doi.org/10.1117/12.2294298

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