Multiple-view camera calibration for large scenes with limited spatial access at the Rotterdam Zoo

Conference paper (2018)

Authors

K. Muller Fluid Mechanics - Mechanical, Maritime and Materials Engineering

D.S.W. Tam Fluid Mechanics - Mechanical, Maritime and Materials Engineering

J. Westerweel Fluid Mechanics - Mechanical, Maritime and Materials Engineering

Research Group

Fluid Mechanics (Mechanical, Maritime and Materials Engineering) (TU Delft)

Computer Vision Field Experiments Large-scale Camera Calibration Biological Fluid Mechanics

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Published Date

2018

Language

English

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Faculty

Mechanical, Maritime and Materials Engineering

Department

Process and Energy

Research Group

Fluid Mechanics

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.

Files

Proceedings_LxSymp2018_Final5.... (pdf)

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