Research on binocular real-time ranging method in window area

Liubin Zhang; Haihui Wang; Jun Li; Ziwei Wang; Meng Wang

doi:10.1117/12.2535618

14 February 2020 Research on binocular real-time ranging method in window area

Liubin Zhang, Haihui Wang, Jun Li, Ziwei Wang, Meng Wang

Proceedings Volume 11430, MIPPR 2019: Pattern Recognition and Computer Vision; 1143007 (2020) https://doi.org/10.1117/12.2535618
Event: Eleventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2019), 2019, Wuhan, China

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.

Citation Download Citation

Liubin Zhang, Haihui Wang, Jun Li, Ziwei Wang, and Meng Wang "Research on binocular real-time ranging method in window area", Proc. SPIE 11430, MIPPR 2019: Pattern Recognition and Computer Vision, 1143007 (14 February 2020); https://doi.org/10.1117/12.2535618

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KEYWORDS

Detection and tracking algorithms

Cameras

Calibration

Sensors

Target detection

Imaging systems

3D acquisition

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