A Design of Mandibular Motion Tracking System Based on Video Processing
Tongsheng Tang, Mingcheng Zhu, Canming Chen, Yuan Xu · 2019
In clinical medical research, mandibular motion tracking is an important indicator for the diagnosis of mandibular related diseases. This paper proposes a new mandibular motion tracking system with video processing. Four cameras are used as a multi-vision system to complete the mandibular motion tracking by measuring the checkerboard markers on the face bow, and the tracking system is implemented on the heterogeneous platform of ARM + FPGA. A new checkerboard corner detection algorithm is implemented on FPGA to overcome the challenge brought by the recognition speed improving of the checkerboard mark. While the high-precision 3D coordinate transformation algorithm is implemented on ARM to improve the accuracy of the system. The experimental data show that the system can process images of 1280×1024@91fps in real-time with an accuracy of 60um.