Three-Dimensional Spatiotemporal Reconstruction and Feature Analysis of Table Tennis Movement Enhanced by Multi-view Computer Vision

This study provides post-competition multi-dimensional digital analysis for table tennis players through multi-view computer vision technology. The three-dimensional skeleton key point data is used for action recognition, and the target tracking and binocular camera technology are combined to accurately reproduce the motion trajectory in the table tennis competition. By integrating the key point data and three-dimensional coordinates of the skeleton, the three-dimensional reconstruction of the game scene is carried out by using the illusory engine. The experimental results show the potential of this method in the analysis of table tennis technique and tactics, and provide a new digital solution for post-competition analysis.