Audio-Visual Calibration With Polynomial Regression For 2-D Projection Using Svd-Phat
Francois Grondin, Hao Tang, James Glass
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04 May 2020
This paper proposes a straightforward 2-D method to spatially calibrate the visual field of a camera with the auditory field of an array microphone by generating and overlaying an acoustic image over an optical image. Using a low-cost microphone array and an off-the-shelf camera, we show that polynomial regression can deal efficiently with non-linear camera distortion, and that a recently proposed sound source localization method for real-time processing, SVD-PHAT, can be adapted for this task.
