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计算机工程 ›› 2010, Vol. 36 ›› Issue (24): 158-160. doi: 10.3969/j.issn.1000-3428.2010.24.057

• 人工智能及识别技术 • 上一篇    下一篇

基于双目立体视觉的人体运动仿真

高维松1,钱 徽1,陈 鹏1,2   

  1. (1. 浙江大学计算机科学与技术学院,杭州 310027;2. 安徽师范大学物理与电子信息学院,安徽 芜湖 241000)
  • 出版日期:2010-12-20 发布日期:2010-12-14
  • 作者简介:高维松(1983-),男,硕士研究生,主研方向:计算机视觉,图形图像处理;钱 徽,副教授;陈 鹏,博士研究生
  • 基金资助:

    浙江省科技厅基金资助重大项目(2006c13096)

Simulation of Human Motion Based on Binocular Stereo Vision

GAO Wei-song 1, QIAN Hui 1, CHEN Peng 1,2   

  1. (1. College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China; 2. College of Physics and Electronic Information, Anhui Normal University, Wuhu 241000, China)
  • Online:2010-12-20 Published:2010-12-14

摘要:

为辅助运动员训练,建立一个基于双目立体视觉的人体运动仿真系统。使用无标记的动作捕获算法,获取人体关节点在图像上的像素坐标。根据双目立体视觉的原理,计算出人体关节点的世界坐标,建立三维人体模型。通过求解能量函数的最优问题,优化人体模型,并仿真人体运动。实验结果表明,该系统能够较精确地完成动作捕获及运动仿真。

关键词: 运动捕获, 双目立体视觉, 能量函数

Abstract:

In order to give more help to athletes’ exercise, a human motion simulation system based on binocular stereo vision is established. Using a mark-less motion capture algorithm, the pixel coordinates of human skeletons in the image are captured. According to binocular stereo vision theory, the world coordinates of human skeletons are computed and the 3-D human model is constructed. The human model is optimized by computing the energy function. The human motion is simulated and the parameters of human motion are figured out. Experimental results demonstrate that the simulation system can do well in motion capture and simulation of human motion.

Key words: motion capture, binocular stereo vision, energy function

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