arXiv Open Access 2020

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

Francois Grondin Hao Tang James Glass

Lihat Sumber

Abstrak

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.

Topik & Kata Kunci

eess.AS cs.SD eess.SP

Penulis (3)

Francois Grondin

Hao Tang

James Glass

Format Sitasi

APA MLA BibTeX

Grondin, F., Tang, H., Glass, J. (2020). Audio-Visual Calibration with Polynomial Regression for 2-D Projection Using SVD-PHAT. https://arxiv.org/abs/2002.01440

Akses Cepat

Lihat di Sumber

Informasi Jurnal

Tahun Terbit: 2020
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓