Camera Calibration with Neural Networks

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As the existence of the many unwanted factors, such as radial distortion and decentering distortion, the model of camera imaging is actually a nonlinear one. In order to successfully realize this kind of nonlinear mapping relationship between the 3D object points and their corresponding 2D image points, neural networks were and are still used. This paper introduced the history of camera calibration with neural network, covered the three types of neural network algorithms that have been used in camera calibration and explained their advantages as well as drawbacks with experiment results. After that, two issues that should be noted before and after the use of neural network were discussed and finally, the concluding remarks were gained.

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Edited by:

Honghua Tan

Pages:

2762-2767

Citation:

Z. Tian et al., "Camera Calibration with Neural Networks", Applied Mechanics and Materials, Vols. 29-32, pp. 2762-2767, 2010

Online since:

August 2010

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$38.00

[1] H.A. Beyer: Calibration of CCD Cameras for Machine Vision and Robotics, SPIE 1989 Symposium on Advances in Intelligent Robotics Systems, Philadelphia, Nov. (1989).

[2] D.E. Rumelhart, G.E. Hinton, and R.J. Williams: Learning internal representations by error propagation in D.E. Rumelhart and J.L. McClelland (Eds. ), Parallel Distributed Processing. MIT Press. (1986).

DOI: https://doi.org/10.1016/b978-1-4832-1446-7.50035-2

[3] J. Wen and G. Schweitzer: Hybrid Calibration of CCD cameras using artificial neural nets, Proc. Int Joint Conf. Neural Networks (New York), Vol. 1, pp.337-342, Nov. (1991).

DOI: https://doi.org/10.1109/ijcnn.1991.170424

[4] M. Lynch and C. Dagli: Backpropagation neural network for stereoscopic vision calibration, Proc. SPIE. Int. Soc. Opt. Eng., Vol. 1615, Nov. (1991).

[5] D. Choi, S. Oh, H. Chang and K. Kim: onlinear camera calibration using neural networks, Neural, parallel and scientific computations, Vol. 2, No. 1, Mar. (1994).

[6] 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: https://doi.org/10.1016/0166-3615(95)00024-8

[7] 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: https://doi.org/10.1109/iccv.1999.791257

[8] JUN J, KIM C: Robust camera calibration using neural network, Proceedings of the IEEE Region 10 conference, pp.694-697, Sept. (1999).

[9] Qurban Memony and Sohaib Khanz: Camera calibration and three-dimensional world reconstruction of stereo-vision using neural networks, International Journal of Systems Science, Vol. 32, No. 9, pp.1155-1159, Sept. (2001).

DOI: https://doi.org/10.1080/00207720010024276

[10] YUAN Ye, ZHONG Chong-quan, and OU Zong-ying: A new algorithm of camera calibration based on BP neural networks in mirosot, Robot, Vol. 23, No. 7, pp.752-755, Oct. (2001).

[11] YUAN Ye, OU Zong-ying, and TIAN Zhong-xu: 3D reconstruction of stereo vision using neural networks implicit vision model, Journal of Computer-aided design & Computer Graphics, Vol. 15, No. 3, pp.293-296, Mar. (2003).

[12] ZHAO Qing-jie, SUN Zeng-qi, and LAN Li: eural network technique in camera calibration, Control and Decision, Vol. 17, No. 3, pp.336-342, May, (2002).

[13] CUI Yan-ping, LIN Yu-chi, and ZHANG Xiao-ling: Study on camera calibration for binocular vision based on neural network, Journal of Optoelectronics·Laser, Vol. 16, No. 9, pp.1097-1100, Sept. (2005).

[14] TANG Xin-xing, ZHAO Ding-xuan, HUANG Hai-dong, AI Xue-zhong, and FENG Shi-zhu: Modified stereo vision calibration method for construction robot, Journal of Jilin University, Vol. 37, No. 2, pp.391-395, Mar. (2007).

[15] Cui An, Yuan Zhi, Wang Dan, and Zhang Haipeng: eural network technique on camera calibration based on improved Harris corner extraction method, Transactions of the Chinese society for agricultural machinery, Vol. 40, No. 8, pp.214-218, Aug. (2009).

[16] Dong-Min Woo, Dong-Chul Park: An efficient method for camera calibration using multilayer perceptron type neural network, 2009 International Conference on Future Computer and Communication, pp.358-362, Apr. (2009).

DOI: https://doi.org/10.1109/icfcc.2009.94

[17] LIU Hong-jian, LUO Yi and LIU Yun-cai: Variable precision camera calibration using neural network, Optics and Precision Engineering, Vol. 12, No. 4, pp.443-448, Aug. (2004).

[18] YUAN Ye and OU Zong-ying: 2-D plane calibration algorithm based on radial basis function neural networks, Journal of Dalian University of Technology, Vol. 43, No. 2, pp.248-251, Mar. (2003).

[19] LIU Yan-mei, CHEN Zhen, XUE Ding-yu, and XU Xin-he: Stereovision location method based on neural networks, Journal of Liaoning Technical University, Vol. 25, No. 1, pp.91-93, Feb. (2006).

[20] ZONG Xiao-ping, XU Yan, and HAO Lei: Camera calibration based on the RBF neural network with tunable nodes for visual servoing in robotics, International Conference on Intelligent Robots and Systems, pp.5708-5712, Oct. (2006).

DOI: https://doi.org/10.1109/iros.2006.282374

[21] LI Guo-you, XU Peng, LI Hui-guang, and MA Jing-xia: Camera calibration based on optimized RBF-DDA neural networks, Computer Engineering, Vol. 33, No. 24, pp.244-246, Dec. (2007).

[22] GE Dong-yuan, YAO Xi-fan, CHEN Wei-xiong, and ZHANG Qing: Research of machine vision system based on RBF neural network, International Conference on Computer Science and Information Technology, pp.218-222, Aug. (2008).

DOI: https://doi.org/10.1109/iccsit.2008.189

[23] Refaat Mohamed', Abdelrehim Ahmed, Ahmed Eid, and Aly Farag: Suppot vector machines for camera calibration problem, 2006 International Conference on Image Processing, pp.1029-1032, Oct. (2006).

DOI: https://doi.org/10.1109/icip.2006.312730

[24] LIU Sheng, FU Hui-xuan,and WANG Yu-chao: Camera calibration for stereo vision based on LS-SVM, Opto-Electronic Engineering, Vol. 35, No. 10, pp.21-25, Oct. (2008).

DOI: https://doi.org/10.1109/wcica.2010.5554047

[25] Sheng Liu, Huixuan Fu, and Yuchao Wang: Camera calibration based on divided region LS-SVM, Proceedings of 2008 IEEE International Conference on Mechatronics and Automation, pp.488-492, Aug. (2008).

DOI: https://doi.org/10.1109/icma.2008.4798804

[26] W. S. Sarle: Stopped training and other remedies for overfitting, Proceeding of the 27th Symposium on the Interface, 1995. (Chapter 19).

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