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Proceedings Paper

3D reconstruction of surface based on binocular vision
Author(s): Xiaoping Hu; Tao Peng; Ke Xie
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Paper Abstract

This paper proposes a feasible program of 3D curve surface reconstruction based on the method of binocular stereo vision system which is composed of two industrial CCD cameras. On the basis of bipolar linear constraints, the method gets information modules to match the 3D curve surface feature at sub-pixel level by the sift algorithm so that the reconstruction of 3D stereo structure can be realized. Then, through the combination of the acquired feature vectors with 2D image to affine the curve surface, the feature extraction and the recognition progress can be realized by iteration. Finally, a 3D depth map can be produced. This method can help improve the robustness of the stereo matching and get a better 3D reconstruction in a simple way with low cost.

Paper Details

Date Published: 10 October 2013
PDF: 8 pages
Proc. SPIE 8916, Sixth International Symposium on Precision Mechanical Measurements, 89163V (10 October 2013); doi: 10.1117/12.2035890
Show Author Affiliations
Xiaoping Hu, Hunan Univ. of Science and Technology (China)
Tao Peng, Hunan Univ. of Science and Technology (China)
Ke Xie, Hunan Univ. of Science and Technology (China)

Published in SPIE Proceedings Vol. 8916:
Sixth International Symposium on Precision Mechanical Measurements
Shenghua Ye; Yetai Fei, Editor(s)

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