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基于智能视觉的假肢虚拟再生仿真技术的算法研究

Research of Prosthesis Virtual Reprocess Emulation Technique Analysis Based on Intelligent Visual
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摘要 研究假肢虚拟再生仿真方法。腿部结构较为复杂,残缺再生过程需要根据不同腿部残缺根源部位进行方向和角度的预测,但是由于腿部角度和生长方向推断过程信息过少,造成传统的虚拟腿部残缺再生仿真无法取得足够信息,只能根据简单的向上,造成模拟效果不好。为此,提出了一种基于智能视觉的假肢虚拟再生仿真方法。根据误差四元数状态变换相关理论,能够对假肢虚拟再生的方向和旋转角度进行有效的预测,从而为假肢虚拟再生仿真提供准确的依据。根据双目立测三维模拟方法,建立假肢虚拟再生仿真三维模型。实验结果表明,利用该算法进行假肢虚拟再生仿真,可以真实的反映残肢不同位置特征点的相关性,从而为假肢虚拟再生手术提供依据。 Research on virtual prosthesis regeneration simulation method. Leg structure is relatively complex, incomplete re.generation process need to be done according to the different leg incomplete root parts direction and Angle prediction, butthe Angle of the leg and the growth direction inference process too little information, caused the traditional virtual leg dis.ability regeneration simulation can't get enough information, can only based on simple upward, Angle of rotation commandcomplete regeneration leg simulation, virtual simulation result is bad. To this end, this paper proposes a simulation methodbased on intelligent visual prosthesis virtual regeneration. Related theory, based on error quaternion state transform to virtu.al regenerative direction and the rotation Angle prosthesis for effective prediction, so as to provide accurate basis for simula.tion of regeneration of prosthesis. According to the binocular measuring 3 d simulation method, to establish the three-di.mensional model simulation of regeneration prosthesis. The experimental results show that the algorithm presented in thispaper for prosthetic virtual regeneration simulation, can the real reflect the correlation of different location of the residuallimb feature points, which provide the basis for the prosthetic virtual regeneration surgery.
作者 任伟
出处 《科技通报》 北大核心 2014年第12期124-126,共3页 Bulletin of Science and Technology
关键词 智能视觉 假肢虚拟 角度预测 intelligent vision virtual prosthesis angle prediction
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  • 1王宪成,李勃,李莉.基于Virtools 4.0的某型船艇柴油机虚拟维修关键技术研究[J].装甲兵工程学院学报,2010,24(2):27-31. 被引量:12
  • 2陈洪波,王强,徐晓蓉.用于线段特征提取的改进Hough变换[J].计算机工程与应用,2004,40(21):75-78. 被引量:14
  • 3柴秀娟,山世光,高文,陈熙霖.基于样例学习的面部特征自动标定算法[J].软件学报,2005,16(5):718-726. 被引量:15
  • 4戴维温特.人体运动生物力学[M].北京:人民体育出版社,1990..
  • 5胡小强.虚拟现实技术及应用[M].北京:高等教育出版社,2004,5.
  • 6LiJR, KhooP, TorB. Desktop. Virtual Reality for Maintenance training: An Object Oriented Prototype System (V2REAL ISM) [J]. Computer in Industry, 2003, 52 (2) : 109--125.
  • 7Phillips C,Interactie Real Time Articulated Figure Manipulation Using Multiple Kinetic Cons,1990年,24卷,2期,245页
  • 8S,Robotic mapping:A survey.in Exploring Artificial Intelligence in the New Millenium[DB/OL].(2002-02)[2006-05-28].http://www.cs.cmu.edu/~carmen/papers/thrun.mapping-tr.pdf
  • 9Tardós J D,Neira J,Newman P,J Leonard.Robust Mapping and Localization in Indoor Environments using Sonar Data[J].The Int.Journal of Robotics Research (S0278-3649),2002,21(4):311-330.
  • 10Cheeseman P,Smith R,Self M.A stochastic map for uncertain spatial relationships[C]//4th International Symposium on Robotic Research,Cambridge,MA:MIT Press,1987.

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