机器视觉下排球手位置轮转的空间多变性优化

Space Volleyball Hand Rotation of Position of Machine Vision under Variable Optimization

在计算机机器视觉下,采用传统方法研究排球手位置轮转的空间特征时,随着排球手位置轮换的不确定性增强,空间状态识别效果不好,对调整战术的指导性不强。提出一种基于机器视觉空间降维的排球手位置轮转空间多变性优化方法。通过构建机器视觉下排球手位置轮转的图像处理模型,完成排球手空间位置变化的像素点采样和特征分析。通过构建图像特征输出函数,实现空间像素点量化特征降维。通过求解排球手空间位置轮转视觉特征图像的运动参数方程式,完成位置轮转空间多变性的优化。实验结果表明,采用该算法能准确有效对机器视觉下排球手位置轮转的空间特征进行分析和识别,对于提高队员的协调和配合素质有重要的指导意义。

Under the computer machine vision,using traditional methods research on the spatial characteristics of volleyball rotary hand position,as the uncertainty of volleyball hand position shift increases,space state recognition effect is bad,to adjust the tactical guidance is not strong. A spatial dimension reduction based on machine vision volleyball hand position of the rotary space variability optimization scheduling method was presented. Machine vision image processing model of rotary discharge player position was built,volleyball with hand pixel sampling and characteristics analysis of space position change. By building image characteristics output function,the spatial pixels feature dimension reduction was realized. The volleyball hand space rotary visual image features of the equation of motion parameters of complete position rotary spatial variability of optimization was solved. The experimental results show that the algorithm can accurately position of machine vision discharge golfers rotary space feature analysis and recognition,to improve the coordinate and cooperate with the quality of the players has important guiding significance.