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3D morphology reconstruction using linear array CCD binocular stereo vision imaging system
Author(s): Yu Pan; Jinjiang Wang
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Paper Abstract

Binocular vision imaging system, which has a small field of view, cannot reconstruct the 3-D shape of the dynamic object.

We found a linear array CCD binocular vision imaging system, which uses different calibration and reconstruct methods. On the basis of the binocular vision imaging system, the linear array CCD binocular vision imaging systems which has a wider field of view can reconstruct the 3-D morphology of objects in continuous motion, and the results are accurate. This research mainly introduces the composition and principle of linear array CCD binocular vision imaging system, including the calibration, capture, matching and reconstruction of the imaging system. The system consists of two linear array cameras which were placed in special arrangements and a horizontal moving platform that can pick up objects. The internal and external parameters of the camera are obtained by calibrating in advance. And then using the camera to capture images of moving objects, the results are then matched and 3-D reconstructed.

The linear array CCD binocular vision imaging systems can accurately measure the 3-D appearance of moving objects, this essay is of great significance to measure the 3-D morphology of moving objects.

Paper Details

Date Published: 12 January 2018
PDF: 6 pages
Proc. SPIE 10620, 2017 International Conference on Optical Instruments and Technology: Optoelectronic Imaging/Spectroscopy and Signal Processing Technology, 106201C (12 January 2018); doi: 10.1117/12.2294630
Show Author Affiliations
Yu Pan, Tianjin Univ. (China)
Jinjiang Wang, Tianjin Univ. (China)


Published in SPIE Proceedings Vol. 10620:
2017 International Conference on Optical Instruments and Technology: Optoelectronic Imaging/Spectroscopy and Signal Processing Technology
Guohai Situ; Xun Cao; Wolfgang Osten; Liquan Dong, Editor(s)

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