3D vision measurement method and realization technique based on radical basis function

Wendong Peng; Zaili Dong; Maoxiang Sun; Hui Liu

doi:10.1117/12.539260

25 September 2003 3D vision measurement method and realization technique based on radical basis function

Wendong Peng, Zaili Dong, Maoxiang Sun, Hui Liu

Proceedings Volume 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition; (2003) https://doi.org/10.1117/12.539260
Event: Third International Symposium on Multispectral Image Processing and Pattern Recognition, 2003, Beijing, China

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.

Citation Download Citation

Wendong Peng, Zaili Dong, Maoxiang Sun, and Hui Liu "3D vision measurement method and realization technique based on radical basis function", Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); https://doi.org/10.1117/12.539260

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