Abstract
In the paper, a zoom-plane-space algorithm based on binocular stereo vision is presented to expand the range of the plane-space algorithm. On the basis of the plane-space algorithm, a mathematical model of the zoom-plane-space algorithm is established by introducing the zoom function. According to the optical imaging principle, the imaging model of the zoom image sensor is established and the input point coordinates of the left image sensor without zoom are calculated with this model. Finally, the position coordinates of the target point can be obtained by bringing the converted input point coordinates into the plane-space algorithm. The algorithm is simulated by using the Matplotlib library based on Python3.6. The simulation data show that the error of the algorithm is about 0.04 m when the horizontal coordinates of the target point are moved in steps of 0.1 for 100 steps.
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Acknowledgment
Shubin Wang (wangshubin@imu.edu.cn) is the correspondent author and this work was supported by the National Natural Science Foundation of China (61761034), the Natural Science Foundation of Inner Mongolia (2020MS06022).
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Li, X., Zhang, X., Shi, Q., Zhu, H., Wang, S. (2023). Research on Plane-Space Algorithm of Binocular Stereo Vision Under Zoom Condition. In: Liang, Q., Wang, W., Liu, X., Na, Z., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2022. Lecture Notes in Electrical Engineering, vol 873. Springer, Singapore. https://doi.org/10.1007/978-981-99-1260-5_8
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DOI: https://doi.org/10.1007/978-981-99-1260-5_8
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