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2 2014

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Diversity of photogrammetric approaches for multi-purpose applications

Bujakiewicz A., Markiewicz J., Bakuła K., Zawierska D

Reports on Geodesy and Geoinformatics

2014

Vol. 96

9--19

The presented paper shows the diversity of photogrommetric approaches by introducing a problem of camera interior orientation, data georeferencing. data integration and the issue of automatic object surface modelling. The authors discuss the abovementioned issues on the example of the work carried out at the Faculty of Geodesy and Cartography, Warsaw University of Technology referring to solutions practiced in Computer Vision. This article is an example of introduction of photogrammetry as a discipline open to achievements of close fields of science, which is widely applied in practice.

Particle filtering for computer vision-based identification of frame model parameters

Tekieli M., Słoński M.

Computer Assisted Methods in Engineering and Science

2014

Vol. 21, no. 1

39--48

In this paper we present a new approach for solving identification problems based on a novel combination of computer vision techniques, Bayesian state estimation and finite element method. Using our approach we solved two identification problems for a laboratory-scale aluminum frame. In the first problem, we recursively estimated the elastic modulus of the frame material. In the second problem, for the known elastic constant, we identified sequentially the position of a quasi-static concentrated load.