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Proceedings Paper

3D vision measurement method and realization technique based on radical basis function
Author(s): Wendong Peng; Zaili Dong; Maoxiang Sun; Hui Liu
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Paper Abstract

A new vision location method based on radical basis function networks (RBFN) is presented in this paper. It fully utilizes the excellent ability of RBFN to approach the nonlinear mapping and have a good performance of high learning rate and adapting the different environment generalization. It sets up a non-linear relationship between the space sample points and the corresponding image information by learning, instead of traditional calibration method, and can be used for 3D measurement. In our lab, it was applied to 3D vision location system based on a multi-linear photoelectrical sensor system. Then experiment proves that it can quickly realize high-accuracy space location. This method could be supplied as a new one to solve the 3D space location.

Paper Details

Date Published: 25 September 2003
PDF: 4 pages
Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); doi: 10.1117/12.539260
Show Author Affiliations
Wendong Peng, Shenyang Univ. of Technology (China)
Zaili Dong, Shenyang Institute of Automation, CAS (China)
Maoxiang Sun, Shenyang Univ. of Technology (China)
Hui Liu, Shenyang Institute of Automation, CAS (China)


Published in SPIE Proceedings Vol. 5286:
Third International Symposium on Multispectral Image Processing and Pattern Recognition
Hanqing Lu; Tianxu Zhang, Editor(s)

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