Author(s): J. Le Coz; B. Renard; V. Vansuyt; A. Hauet; M. Jodeau
Linked Author(s): Jérôme Le Coz
Keywords: No Keywords
Abstract: Large-scale image velocimetry applications have become increasingly popular for measuring surface flow velocities and river discharges. Image orthorectification is a key step in the process and the resulting velocity and discharge uncertainty remains difficult to estimate. A novel Bayesian camera calibration method is proposed to combine prior knowledge on camera parameters and ground reference points. The method is tested using a typical crowd-sourced flood video. The parametric and structural uncertainty components due to camera calibration can be combined with other sources of errors (stage, velocity coefficient, bed shift, etc. ) to build an uncertainty budget.
Year: 2020