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ASME Press Select Proceedings
International Conference on Advanced Computer Theory and Engineering, 5th (ICACTE 2012)
Editor
ISBN:
9780791860045
No. of Pages:
938
Publisher:
ASME Press
Publication date:
2012
eBook Chapter
21 Research on Binocular Camera Calibration Technology Based on the BP Neural Network Algorithm
Page Count:
8
-
Published:2012
Citation
Wang, H, Zhao, T, Zhang, W, & Wang, N. "Research on Binocular Camera Calibration Technology Based on the BP Neural Network Algorithm." International Conference on Advanced Computer Theory and Engineering, 5th (ICACTE 2012). Ed. Yi, X. ASME Press, 2012.
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Camera calibration is an important field of computer vision. It is widely used in 3d reconstruction, navigation, vision surveillance and other fields. It is the key technology of stereo vision. Binocular stereo vision camera calibration based on BP neural network is proposed on the basic of analysis the traditional calibration algorithm together with characteristics of camera calibration and neural networks. Finally, data generated by BP algorithm and the actual data were compared and analyzed through test.
1. Introduction
2. Binocular Camera Calibration Technology
3. BP Neural Network Technology
4. Binocular Camera Calibration Neural Network Design
5. Experiment Application
6. Conclusion
References
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