Tian Su Kun, Dai Ning, Li Lin Lin, Li Wei Wei, Sun Yu Chun, Cheng Xiao Sheng
College of Mechanical & Electrical Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing 210016, China.
Jiangsu Key Laboratory of Digital Medical Equipment Technology, Nanjing 210016, China.
Math Biosci Eng. 2020 Aug 28;17(5):5709-5726. doi: 10.3934/mbe.2020307.
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.
本研究的目的是基于双目立体视觉、反向传播（BP）神经网络和三维补偿方法开发一种原型三维光学运动捕捉系统，用于准确实时记录下颌运动。提出了一种专门的三维补偿方法，以消除人体心跳和呼吸引起的非自愿振动运动。提出了一种基于投影线的双目视觉三维测量方法和一种基于BP神经网络的校准方法，以解决相机校准过程复杂度高和三维测量精度低的问题。通过电动平台和临床试验对所提系统的精度进行了系统评估，均方根为0.0773毫米。最后，与现有方法的比较表明，我们的系统具有更高的可靠性和准确性。同时，该运动轨迹跟踪系统有望用于临床口腔疾病的诊断和修复体的数字化设计。
