【摘要】 首先,给出了系统的结构图。然后,提出了光学运动捕捉系统中关键技术的解决方法。利用卡尔曼滤波算法进行标记点预测和跟踪,提高了跟踪的准确性。在三维重建之前还需要进行摄像机的三维重建,以便准确地得出标记点的空间位置,提出了标定摄像机的实用方法。由于误差的存在,对三维重建理想状态下的方法进行了扩充,使三维重建更易于实现。实验证明,文中提到的方法能得到理想的数据。更多还原

【Abstract】 At first,the framework of this system is displayed.The approach to the key techniques of optical motion capture system is proposed.Kalman filter is used to predict and track markers,making the tracking of markers more veracious.In order to realizing3D reconstruction and acquiring the accurate space location of markers,cameras must be calibrated.Therefore,the practical way of calibrating camera is presented.Owing to the errors,the algorithm of3D reconstruction for ideal situation is revised,making the3D reconstruction easy to achieve.The experimentation proves that all the methods can gain the expected data.更多还原