A 3D Reconstruction Method Based on Binocular View Geometry

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Abstract:

A method was proposed to gain three-dimensional (3D) reconstruction based on binocular view geometry. Images used to calibrate cameras and reconstruct car’s rearview mirror by image acquisition system, by calibration image, a camera's intrinsic and extrinsic parameters, projective and fundamental matrixes were drawn by Matlab7.1;the collected rearview mirror images is pretreated to draw refined laser, extracted feature points, find the very appropriate match points by epipolar geometry principle; according to the camera imaging model to calculate the coordinates of space points, display point cloud, fitting space points to reconstruct car’s rearview mirror; experimental results show this method can better restore the car’s rearview mirror of 3D information.

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299-303

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October 2010

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© 2010 Trans Tech Publications Ltd. All Rights Reserved

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[1] S.D. Ma, Z.Y. Zhang: Computer Vision, Science Press. (1997).

Google Scholar

[2] S.L. Hua, S.D. Zhong: Application Research of Computers, Vol. 6(2004), P. 147-148.

Google Scholar

[3] X.B. Tan: National University of Defence Technology Master of Science in Engineering, (2004), P. 47-50.

Google Scholar

[4] S.C. Yuan, L.J. Song and Q.Y. Zhang: Computer Engineering and Applications Vol. 44(2008), P. 76-77.

Google Scholar

[5] M.F. Tappen andW.T. Freeman: Comparison of graph cuts with belief propagation for stereo, using identical MRF parameters. In IEEE International Conference on Computer Vision, 20.

DOI: 10.1109/iccv.2003.1238444

Google Scholar