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Proceedings Paper

Research on binocular real-time ranging method in window area
Author(s): Liubin Zhang; Haihui Wang; Jun Li; Ziwei Wang; Meng Wang
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Paper Abstract

In order to solve the problem of difficult target matching and low matching efficiency in binocular measurement, this paper proposes a real-time target feature matching algorithm based on Binocular Stereo Vision-absolute window error minimization (CAEW, Calculate the Absolute Error Window ) to improve the speed and accuracy of measurements. Firstly, the calibration of the camera is solved by using Zhang's calibration method, and the Bouguet algorithm is used for Binocular Stereo Vision of the final calibration data. Then, the AdaBoost iterative algorithm is used to train the target detector for target recognition. The CAEW algorithm is compared with the commonly used SURF (Speeded-Up Robust Feature) algorithm. The evaluation data of experimental results showed that the CAEW algorithm can achieve an evaluation of more than 90%. It is significantly improved compared with the SURF algorithm and meet the needs of binocular real-time target matching.

Paper Details

Date Published: 14 February 2020
PDF: 8 pages
Proc. SPIE 11430, MIPPR 2019: Pattern Recognition and Computer Vision, 1143007 (14 February 2020); doi: 10.1117/12.2535618
Show Author Affiliations
Liubin Zhang, Wuhan Institute of Technology (China)
Haihui Wang, Wuhan Institute of Technology (China)
Jun Li, Wuhan Institute of Technology (China)
Ziwei Wang, Wuhan Institute of Technology (China)
Meng Wang, Wuhan Institute of Technology (China)

Published in SPIE Proceedings Vol. 11430:
MIPPR 2019: Pattern Recognition and Computer Vision
Nong Sang; Jayaram K. Udupa; Yuehuan Wang; Zhenbing Liu, Editor(s)

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