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Application of Bayesian Statistics in Photogrammetric Bundle Adjustment
2011
Procedia Environmental Sciences
The basic mathematical principle for bundle adjustment (BA) in photogrammetry is the Gauss-Markov Theorem within the framework of classical statistical inference. In the present article we try to show how Bayesian statistics can be applied in this field, leading to a so-called Bayesian bundle adjustment. The rigorous implementation of the Bayesian approach is derived and a comparison with the traditional BA both in theory and practice is accomplished. The empirical test results show that the
doi:10.1016/j.proenv.2011.02.014
fatcat:5vnhzoymdvgs3oq42q23q5h3ue