3D reconstruction of surface based on binocular vision

Xiaoping Hu; Tao Peng; Ke Xie

doi:10.1117/12.2035890

10 October 2013 3D reconstruction of surface based on binocular vision

Xiaoping Hu, Tao Peng, Ke Xie

Proceedings Volume 8916, Sixth International Symposium on Precision Mechanical Measurements; 89163V (2013) https://doi.org/10.1117/12.2035890
Event: Sixth International Symposium on Precision Mechanical Measurements, 2013, Guiyang, China

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.

Citation Download Citation

Xiaoping Hu, Tao Peng, and Ke Xie " 3D reconstruction of surface based on binocular vision", Proc. SPIE 8916, Sixth International Symposium on Precision Mechanical Measurements, 89163V (10 October 2013); https://doi.org/10.1117/12.2035890

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