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Received: 2003-04-03

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Journal of Zhejiang University SCIENCE A 2004 Vol.5 No.5 P.567-571


A simple rectification method for linear multi-baseline stereovision system

Author(s):  DU Xin, LI Hong-dong, GU Wei-kang

Affiliation(s):  Department of Information and Electronics, Zhejiang University, Hangzhou 310027, China

Corresponding email(s):   duxin@dial.zju.edu.cn

Key Words:  Rectification, Multi-baseline, Stereovision

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DU Xin, LI Hong-dong, GU Wei-kang. A simple rectification method for linear multi-baseline stereovision system[J]. Journal of Zhejiang University Science A, 2004, 5(5): 567-571.

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A1 - LI Hong-dong
A1 - GU Wei-kang
J0 - Journal of Zhejiang University Science A
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DOI - 10.1631/jzus.2004.0567

The linear multi-baseline stereo system introduced by the CMU-RI group has been proven to be a very effective and robust stereovision system. However, most traditional stereo rectification algorithms are all designed for binocular stereovision system, and so, cannot be applied to a linear multi-baseline system. This paper presents a simple and intuitional method that can simultaneously rectify all the cameras in a linear multi-baseline system. Instead of using the general 8-parameter homography transform, a two-step virtual rotation method is applied for rectification, which results in a more specific transform that has only 3 parameters, and more stability. Experimental results for real stereo images showed the presented method is efficient.

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[1] Ayache, N., Lustman, F., 1991. Trinocular stereo vision for robotics.IEEE T-PAMI,13:73-855.

[2] Fusiello, A., Trucco, E., Verri, A., 2000. A Compact Algorithm for Rectification of Stereo Pairs. Machine Vision and Application, USA.

[3] Hartley, R., Gupta, R., 1993. Computing Matched Epipolar Projections. Proceedings of IEEE CVPR, p.549-555.

[4] Hartley, R., 1997. Self-calibration of stationary cameras.IJCV,22(1):5-23.

[5] Hartley, R., 1999. Theory and practice of projective rectification.IJCV,35(2):1-16.

[6] Isgro, F., Trucco, E., 1999. Projective rectification without epipolar geometry.IEEE-CVPR,1:94-99.

[7] Kang, S.B., Webb, J., Zitnick, C., Kanade, T., 1994. An Active Multibaseline Stereo System with Real-Time Image Acquisition. Tech. Report CMU-CS-94-167, Carnegie Mellon University.

[8] Kanade, T., 1995. Development of A Video-Rate Stereo Machine. Proc. of International Robotics and Systems Conference (IROS'95),3:95-100.

[9] Kanade, T., Yoshida, A., Oda, K., Kano, H., Tanaka, M., 1996. A Stereo Machine for Video-rate Dense Depth Mapping and Its New Applications. Proceedings of IEEE CVPR, p.196-202.

[10] Loop, C., Zhang, Z.Y., 1999. Computing rectifying homographies for stereo vision. Proceedings of IEEE CVPR,1:125-131.

[11] Mulligan, J., Kaniilidis, K., 2000. Trinocular Stereo for Non-parallel Configurations. International Conference on Pattern Recognition (ICPR),1:567-570.

[12] Robert, L., Buffa, M., Hebert, M., 1995. Weakly Calibrated Stereo Perception for Rover Navigation. Proceedings of ICCV-95, p.46-51.

[13] Williamson, T., Thorpe, C., 1998. A Specialized Multibaseline Stereo Technique for Obstacle Detection. Proceedings of IEEE CVPR, p.238-244.

[14] Zhang, Z.Y., Ma, S.D., 2000. Computational Vision. Science Press, China (in Chinese).

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