Free-surface flows from Kinect: Feasibility and limits
Résumé
In this work, we investigate the combined use of a Kinect depth sensor and of a stochastic data assimilation method to recover free-surface flows. For this purpose, we first show that the Kinect is likely to capture temporal sequences of depth observations of wave-like surfaces with wavelengths and amplitudes sufficiently small to characterise medium/large scale flows. Then, we illustrate the ability of a stochastic data assimilation method to estimate both time-dynamic water surface elevations and velocities from sequences of synthetical depth images having characteristics close to the Kinect ones.
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