声场可视化系统中声像阵列空间关系标定研究

发布时间：2018-03-20 00:10

本文选题：声源定位　切入点：声全息　出处：《仪器仪表学报》2017年06期 　论文类型：期刊论文

【摘要】：在声场可视化系统中,摄像机与传声器阵列的空间位置及角度的关系不准确将导致声源定位出现误差。而目前对于声场可视化系统中的声像阵列空间关系的研究较少,缺少对声像阵列空间关系的简单有效的标定方法。因此,提出了一种可计算任意位置与姿态的摄像机与传声器阵列之间空间关系的标定方法,可有效消除由传声器阵列与相机的空间关系不匹配导致的声源定位误差。通过对已知声源在多个空间位置的声源定位误差进行最小化处理,利用分步迭代计算的方法,分别计算出摄像机与传声器阵列的空间位置与角度,最终得到声像阵列之间真实的空间位置与角度关系。仿真与实际实验均表明本方法可对任意位置与姿态的摄像机与传声器阵列的空间关系进行准确标定,能有效提高声场可视化系统的声源定位精度。提出的声像阵列空间关系标定方法可应用于各种声场可视化系统中,对提高声场可视化系统的声源定位准确度有着积极的意义。
[Abstract]:In the sound field visualization system, the inaccurate relationship between the camera and the spatial position and angle of the microphone array will lead to the error of the sound source location, but there are few researches on the spatial relationship of the sound and image array in the sound field visualization system. There is a lack of a simple and effective calibration method for the spatial relationship between the array of sound and image. Therefore, a calibration method for calculating the spatial relationship between the camera and the microphone array is proposed, which can calculate the position and attitude of the array. The error of sound source location caused by the mismatch between microphone array and camera can be effectively eliminated. By minimizing the error of sound source location in multiple spatial positions, the method of step by step iterative calculation is used. The space position and angle of the camera and microphone array are calculated respectively. Finally, the real spatial position and angle relationship between the sound array and the image array are obtained. The simulation and practical experiments show that this method can accurately calibrate the spatial relationship between the camera and microphone array at any position and attitude. It can effectively improve the accuracy of sound source location in the visualization system of sound field. The calibration method of spatial relationship between sound and image array can be applied to various visualization systems of sound field, which has a positive significance to improve the accuracy of sound source location in the visualization system of sound field.
【作者单位】：清华大学汽车安全与节能国家重点实验室智能新能源汽车协同创新中心;
【基金】：国家自然科学基金(51375252)项目资助
【分类号】：TP391.41

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