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Volume 28 Issue 3
Mar.  2002
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Journal of Beijing University of Aeronautics and Astronautics  > 2002  >  28(3): 265-268.
LI Xin, ZHANG Guang-jun, WEI Zhen-zhonget al. Method for Structured Light Based 3D Vision InspectionBased on RBF Neural Network[J]. Journal of Beijing University of Aeronautics and Astronautics, 2002, 28(3): 265-268. (in Chinese)
Citation: LI Xin, ZHANG Guang-jun, WEI Zhen-zhonget al. Method for Structured Light Based 3D Vision InspectionBased on RBF Neural Network[J]. Journal of Beijing University of Aeronautics and Astronautics, 2002, 28(3): 265-268. (in Chinese)
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Method for Structured Light Based 3D Vision InspectionBased on RBF Neural Network

  • Beijing University of Aeronautics and Astronautics, School of Automation Science and Electrical Engineering

  • Received Date: 04 Aug 2000
  • Publish Date: 31 Mar 2002
    Abstract
  • Based on Radial Based Function (RBF) neural network, a method for structured light based 3D vision inspection is presented. The method uses RBF ANN (Artificial Neural Network) to establish the mapping relationship between a real object in the wold and its image captured by CCD camera, i.e., the mapping relationship between frame coodinate and its image coodinate. Compared with common methods, the preset approach ignores the vision model error, and allow the existence of optical adjust error. By overcoming disadvantages of common methods efficiently, higher measuring accuracy can be obtain.

     

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  • [1]付京逊,冈萨雷斯 R C,李 C S G. 机器人学[M]. 北京:中国科技出版社,1989. [2]张广军,王 红,赵慧洁. 结构光三维视觉检测系统[J]. 航空学报,1999,20(4):365~367. [3]赵振宇,徐用懋. 模糊理论和神经网络的基础与应用[M]. 北京:清华大学出版社,1992. [4]Linkens D A,Nie Junhong. Fuzzified RBF network-based learning control:Structure and self-construction[J]. IEEE Int Joint Conf on Neural Networks,1993. 1016~1021. [5]Bianchini M,Frasconi P,Gori M. Learning without local minima in radial basis function networks[J]. IEEE Transation on Neural Networks,1995,6(3):749~756. [6]王旭东,邵惠鹤. RBF神经网络理论及其在控制中的应用[J].信息与控制,1997,26(4):272~284. [7]柴天佑,王笑波. RBF神经网络在加速冷却控制系统中的应用[J].自动化学报,2000,26(2):219~225.
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