A Novel Method of Stereo Camera Calibration Using BP Neural Network

Jiu Long Xiong; Jun Ying Xia; Xian Quan Xu; Zhen Tian

doi:10.4028/www.scientific.net/AMM.29-32.2692

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 29-32A Novel Method of Stereo Camera Calibration Using...

A Novel Method of Stereo Camera Calibration Using BP Neural Network

Abstract:

Camera calibration establishes the relationship between 2D coordinates in the image and 3D coordinates in the 3D world. BP neural network can model non-linear relationship, and therefore was used for calibrating camera by avoiding the non-linear factors of the camera in this paper. The calibration results are compared with the results of Tsai’s two stage method. The comparison show that calibration method based BP neural network improved the calibration accuracy.

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Periodical:

Applied Mechanics and Materials (Volumes 29-32)

Pages:

2692-2697

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.29-32.2692

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Online since:

August 2010

Authors:

Jiu Long Xiong, Jun Ying Xia, Xian Quan Xu, Zhen Tian

Keywords:

Camera Calibration, Camera Distortion, Neural Network (NN), Stereo Vision System

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References

[1] Roger Y. Tsai: A Versatile Camera Calibration Technique for High-Accuracy 3D Machine Vision Metrology Using Off-the-Shelf TV Cameras and Lenses. IEEE Journal of Robotics and Automation, Vol. RA-3, No. 4, pp.323-344, Aug (1987).

DOI: 10.1109/jra.1987.1087109

Google Scholar

[2] Dong-Min Woo, Dong-Chul Park: Implicit Camera Calibration Using Multilayer Perceptron Type �eural �etwork, First Asian Conference on Intelligent and Database Systems, pp.313-317, (2009).

DOI: 10.1109/aciids.2009.11

Google Scholar

[3] Guo-Qing Wei, Song De Ma: Implicit and Explicit Camera Calibration: Theory and Experiments, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 16, No. 5, May (1994).

DOI: 10.1109/34.291450

Google Scholar

[4] J. Wen and G. Schweitzer: Hybrid Calibration of CCD Cameras Using Artificial �eural �ets, Proc. Int Joint Conf. Neural Networks (New York), Vol. 1, pp.337-342, Nov. (1991).

DOI: 10.1109/ijcnn.1991.170424

Google Scholar

[5] Chao-Ton Su, C. Alec Chang, and Fang-Chih Tien: �eural networks for precise measurement in computer vision systems, Computers in industry, Vol. 27, pp.225-236, Nov. (1995).

DOI: 10.1016/0166-3615(95)00024-8

Google Scholar

[6] M.T. Ahmed, E.E. Hemaved, and A.A. Farag: �eurocalibration: a neural network that can tell camera calibration parameters, IEEE the Proceedings of the Seventh IEEE International Conference on Computer Vision, Vol. 1, pp.463-468, Sept. (1999).

DOI: 10.1109/iccv.1999.791257

Google Scholar

[7] Luo Jun, Wang Lian, Hou yan: Sub-pixel corner detection of tessellated picture based on camera calibration, Journal of Chongqing University, Vol. 31 No. 6, pp.615-618. (2008).

Google Scholar