A New Calibration Method for Binocular Camera Based on Fundamental Matrix & HEIV Model

A New Calibration Method for Binocular Camera Based on Fundamental Matrix & HEIV Model

Hui Ma 

Jilin Agricultural Science and Technology University, Jilin 132109, China

Corresponding Author Email: 
25 May 2017
5 June 2017
30 June 2017
| Citation



With the fast development of geometrics’ industry, the implementation of digital city and digital earth strategy has become an important step for information construction. The 3D spatial data are the foundation and precondition for establishing digital earth and intelligent city. The binocular vision technology mainly comprising the steps of image acquisition, stereo matching, and 3D reconstruction can obtain geographic information quickly. Binocular camera calibration is an essential step to obtain 3D information from images. In this paper, a new 1D calibration method was proposed based on fundamental matrix. In this calibration method, 1D Object can move freely without any limitations, such as the space or prior information of the camera. Then a HEIV (Heteroscedastic Error-in-Variables) model was proposed to improve the calibration accuracy. Both simulation experiment and real image experiment were conducted to validate the feasibility and effectiveness of this algorithm.


Geographic information, Binocular camera calibration, Fundamental matrix, HEIV model.

1. Introduction
2. Camera Geometric Model and HEIV Model
3. Fundamental Matrix Algorithm
4. HEIV-Based 1D Calibration Algorithm
5. Experimental Results
6. Conclusion

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