Camera Calibration Based Multi-Objects Location in Binocular Stereo Vision

Abstract:

In order to capture high quality binocular stereo video, it is necessary to manipulate both the convergence and the interaxial to take control of the depth of objects within the 3D space. Therefore the scene understanding becomes important as it can increase the efficiency of parameters control. In this paper, a camera calibration based multi-objects location method is introduced with the motivation that supply prior information of adjusting the convergence and the interaxial during capturing. Firstly, we are intended to calibrate the two cameras to get the intrinsic and extrinsic parameters. And then, we select points of the object in the images taken by left and right cameras respectively to determine its locations in the two images. With three-dimensional coordinate of objects, the distance between the object and camera baseline is calculated by mathematical methods.

• Periodical: Applied Mechanics and Materials (Volumes 719-720)
• Pages: 1217-1222
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.719-720.1217
• Online since: January 2015
• Authors: Ying Zhu, Long Ye, Jing Ling Wang, Qin Zhang
• Keywords: Binocular Stereo Vision, Camera Calibration, Depth of Objects

References

[1] Zhang Yujin, Image Engineering (III) Image Understanding, 2rd ed., Beijing, Tsinghua University Press, 2007, pp.104-109.

[2] Okutomi M, Kanade T. A mulitple-baseline stereo. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1993, 15(4): 353-363.

DOI: 10.1109/34.206955

[3] Hou, A.L. and Geng, Y. and Cui, X. and Yuan, W.J. and Shi, F.G. Measurement of the Depth Distance Based on the Binocular Stereo Vision[J]. Advanced Materials Research, 2012, 468: 1895-1898.

DOI: 10.4028/www.scientific.net/amr.468-471.1895

[4] Tsai R Y. An efficient and accurate camera calibration techniquefor 3D machine Vision. Proc. CVPR', pp.464-374, (1986).

[5] Zhengyou Zhang. A flexible new technique for camera calibration. IEEE Transactions on Pattern Analysis and MachineIntelligence, vol. 22, pp.1330-1334, NOV, (2000).

DOI: 10.1109/34.888718

[6] Clark F Olson, Habib Abi-Rached, Ming Ye et al. Wide-Baseline Stereo Vision for Mars Rovers. In: Proceedings of the 2003 MEE/RSJ International Conference on Intelligent Robots and Systems. 2003: 1302-1307.

DOI: 10.1109/iros.2003.1248825

[7] Zhang H D, Wang G, Cen Y W. Summary of distance measurement based on vision in localization technology[C]. Power Electronics and Motion Control Conference, Shanghai. 2006: 1-5.

DOI: 10.1109/ipemc.2006.297427