基于SVD-PHAT的二维投影多项式回归视听校正
Audio-Visual Calibration with Polynomial Regression for 2-D Projection Using SVD-PHAT
摘要：
本文提出了一种简单的2-D的方法来空间校准的视觉领域的摄像机与听觉领域的阵列麦克风通过生成和覆盖的声学图像的光学图像。使用低成本的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相机失真，最近提出的声源定位方法的实时处理，SVD-PHAT，可以适应这项任务。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
