Audio-Visual Calibration with Polynomial Regression for 2-D Projection Using SVD-PHAT

Francois Grondin; Hao Tang; James Glass

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arXiv · 2002.01440

Audio-Visual Calibration with Polynomial Regression for 2-D Projection Using SVD-PHAT

Francois Grondin·Hao Tang·James Glass

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Abstract

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.

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BibTeX RIS

Francois Grondin, Hao Tang, James Glass. 2020-02-04. Audio-Visual Calibration with Polynomial Regression for 2-D Projection Using SVD-PHAT. https://arxiv.org/abs/2002.01440

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