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Disparity Map Acquisition Based on Matlab Calibration Toolbox and OpenCV Stereo Matching Algorithm

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Abstract:

The key and difficult issue in the research of binocular vision-based 3D measurement is the accurate calibration of internal and external parameters of the camera and stereo matching. Matlab calibration is more efficient and accurate compared with manual or OpenCV calibration. In this paper, binocular camera is calibrated by Matlab calibration toolbox, and calibration parameters imported in OpenCV for follow-up image correction and stereo matching. By studying and comparing Block Matching (BM) and Graph Cut (GC) stereo matching algorithms, a disparity image of the object is obtained, thus laying foundation for follow-up 3D data information acquisition and reconstruction.

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Info:

Periodical:

Advanced Materials Research (Volumes 926-930)

Pages:

3030-3033

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.926-930.3030

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Online since:

May 2014

Authors:

Wei Gu, Jing Yin, Xiao Fang Yang, Pu Liu

Keywords:

Disparity Image, Matlab Calibration, OpenCV, Stereo Matching

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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