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Research on virtual simulation of basketball technology 3D animation based on FPGA and motion capture system

机译:基于FPGA和运动捕捉系统的篮球技术3D动画虚拟仿真研究

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A stable structure and group information for measuring the driving dynamic binding character information processing, network control and operation when ready. Created with Unity, Tensol Stream and PyTorch. This method can be done bipedal and quadruped movement in the past occupied the complex and rational activity. The study will help researchers select the appropriate exercise programs and motion capture framework to test their gadgets. The rose to select and added to the open network arena, improve audit in their investigation. Framework has instructed sub conventional and highly accurate three-dimensional movement. Article screening to determine the motion capture framework research study of distributed source in one hundred academic studies used in the report of human activity. The proposed use of support to Field Programmable Gate array (FPGA) virtual computing innovation replay basketball to move the ball from the foundation and other projects, such as the distinction between players and referees. The two-dimensional position of the ball results are calibrated to identify the real position of the ball. Reality from the position of the ball, shoot the scene from every angle camera, and further ground plane. True development continue to see the ball from the top. Tests showed that the proposed calculation obstacles can be handled quickly and less difficult ball, the ball slightly different size and shape.
机译:稳定的结构和组信息,用于测量驱动动态绑定字符信息处理,网络控制和操作后的操作。使用Unity,Tensol Stream和Pytorch创建。这种方法可以在过去占据复杂和合理的活动中的Bipedal和二次运动。该研究将帮助研究人员选择适当的运动计划和运动捕获框架来测试他们的小工具。玫瑰选择并添加到开放式网络竞技场,改善调查中的审计。框架已指示亚常规和高精度的三维运动。文章筛选,以确定人类活动报告中的一百个学术研究中分布源的运动捕获框架研究研究。建议使用支持现场可编程门阵列(FPGA)虚拟计算创新重播篮球,将球从基础和其他项目中移动,例如玩家和裁判之间的区别。校准球结果的二维位置以识别球的实际位置。现实从球的位置,从每个角度相机拍摄场景,进一步接地平面。真正的发展继续从顶部看到球。测试表明,建议的计算障碍可以快速处理,球略有不同的尺寸和形状。

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