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ASME Press Select Proceedings
International Conference on Advanced Computer Theory and Engineering, 5th (ICACTE 2012)
Editor
Xie Yi
Xie Yi
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ISBN:
9780791860045
No. of Pages:
938
Publisher:
ASME Press
Publication date:
2012

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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