论文标题
使用SVD-PHAT进行2D投影的多项式回归，视听校准
Audio-Visual Calibration with Polynomial Regression for 2-D Projection Using SVD-PHAT
论文作者
论文摘要
本文提出了一种直接的二维方法，可以通过在光学图像上生成和叠加声学图像，从而用阵列麦克风的听觉磁场在空间上校准相机的视野。使用低成本麦克风阵列和现成的相机，我们表明多项式回归可以有效地处理非线性摄像机失真，并且最近提出的实时处理的声音源定位方法SVD-PHAT可以适应此任务。
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.
