Multiple-view camera calibration for large scenes with limited spatial access at the Rotterdam Zoo
Koen Muller (TU Delft - Mechanical Engineering)
Daniel Tam (TU Delft - Mechanical Engineering)
Jerry Westerweel (TU Delft - Mechanical Engineering)
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Abstract
Obtaining accurate experimental data from Lagrangian tracking and tomographic velocimetry requires an accurate and consistent camera calibration over multiple views. At length-scales that span beyond the laboratory environment obtaining a camera calibration can be challenging. Combining tools developed in computer vision and non-linear camera mappings known from experimental fluid mechanics, we successfully calibrate a four-camera setup at the large-scale ocean aquarium of the Rotterdam Zoo. The method is valid for any number of cameras and allows retrieving the intrinsic and extrinsic camera properties that can be used to compute the (virtual-)camera positioning and further quality assessment. Using our method we obtain an accurate and consistent camera calibration at largescale over a space that has limited access.