The aim of this study was to develop a prototype three-dimensional optical motion capture system based on binocular stereo vision, Back-propagation (BP) Neural Network and 3D compen-sation method for accurate and real-time recording of mandibular movement. A specialized 3D method of compensation to eliminate the involuntary vibration motions by human heart beating and respiration. A kind of binocular visual 3D measurement method based on projection line and a calibration method based on BP neural network is proposed to solve the problem of the high complexity of camera calibration process and the low accuracy of 3D measurement. The accuracy of the proposed system is systematically evaluated by means of electric platform and clinical trials, and the root-mean-square is 0.0773 mm. Finally, comparisons with state-of-the-art methods demonstrate that our system has higher reliability and accuracy. Meanwhile, the motion trajectory-tracking system is expected to be used in the diagnosis of clinical oral diseases and digital design of restoration.

中文翻译：

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基于BP神经网络的三维下颌运动轨迹跟踪系统

这项研究的目的是开发基于双目立体视觉，反向传播（BP）神经网络和3D补偿方法的原型三维光学运动捕捉系统，以准确，实时地记录下颌运动。一种特殊的3D补偿方法，可消除人的心脏跳动和呼吸引起的非自愿振动。提出了一种基于投影线的双目视觉3D测量方法和一种基于BP神经网络的标定方法，以解决摄像机标定过程复杂，3D测量精度低的问题。该系统的准确性是通过电动平台和临床试验系统地评估的，均方根为0.0773 mm。最后，与最新技术的比较表明，我们的系统具有更高的可靠性和准确性。同时，运动轨迹跟踪系统有望用于临床口腔疾病的诊断和修复的数字化设计。