References
- 1. Zhu, X., F. Liu. Digital Image Processing and Image Communication. BeiJing, Beijing University of Posts and Telecommunications Publishing House, 2002, pp. 68-72.
- 2. Qidwai, U. Infrared Image Enhancement Using H∞ Bounds for Surveillance Applications. - IEEE Transactions on Image Processing, Vol. 17, 2008, No 8, pp. 1274-1282.
- 3. Zhu, S. J., Y. Zhao. Research of Binocular Camera Self-Calibration Method. - Photoelectric Technology Application, Vol. 28, 2013, No 3, pp. 36-39.
- 4. Hou, J., E. Xu. A High-Accuracy Calibration Technique of Stereo Vision for Mobile Robot. - Computer Technology and Development, Vol. 24, 2014, No 2, pp. 92-95.
- 5. Subbaro, M., G. Surya. Depth from Defocus: A Spatial Approach. - International Journal of Computer Vision. Vol. 13, 1994, No 3, pp. 271-294.
- 6. Nayar, S. K., Y. Nakagawa. Shape from Focus System. - IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 16, 1994, No 8, pp. 824-831.
- 7. Li, H. B., W. Dan. Research of Error-Model on Two Eyes Stereoscopic Measurement System. - Optical Technigue, Vol. 32, 2006, No 1, pp. 24-30.
- 8. Cheng, D., Y. Li. Research for Image Matching Based on Improved SIFT Algorithm. - Electronic Design Engineering, Vol. 28, 2011, No 7, pp. 285-289.
- 9. Tsai, R. Y. An Efficient and Accurate Camera Calibration Technique for 3D Machine Vision. - In: Proc. of IEEE Conference on Computer Vision and Pattern Recognition, Miami Beach, FL, 1986, pp. 364-374.
- 10. Tsai, R. Y. A Versatile Camera Calibration Technique for High-Accuracy 3D Machine Vision Metrology Using Off-the-Shelf TV Cameras and Lenses. - IEEE Transactions on Robotics and Automation, Vol. 3, 1987, No 4, pp. 323-344.
- 11. Zhang, Z. A Flexible New Technique for Camera Calibration. - IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 22, 2000, No 11, pp. 1330-1334.
- 12. Yue, X., H. Qi. Calibration of Binocular Stereo-Visoin System Based on Zhang Zhengyou Plane Template Method. - Mechanical Engineer, 2014, pp. 1-2.