Abstract
For 3D reconstruction algorithm based on binocular stereo vision only approximately restores the 3D shape of the object, but it does not analyze the performance of using 3D reconstruction algorithm based on the model of binocular stereo vision measuring distance device to restore object, an interval constraint range domain algorithm is proposed in this paper. In this paper, this algorithm finds the boundary points of the object, the performance of using 3D reconstruction algorithm to restore object depends on the proportion of the number of points that fall within the constraint interval to the total number of points. The interval constraint range domain algorithm analyzes the performance of the 3D reconstruction algorithm to recover the object, that is, analyzes the measurement accuracy of the algorithm. Under the condition of the resolution of the image sensor used in the algorithm is identical, the simulation results show that the accuracy of the algorithm is determined by the spacing of the image sensor, the position, and shape of the constraint interval.
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Acknowledgements
Shubin Wang (wangshubin@imu.edu.cn) is the correspondent author and this work was supported by the National Natural Science Foundation of China (61761034, 61261020), and the Natural Science Foundation of Inner Mongolia, China (2016MS0616), and the Enhancing Comprehensive Strength Foundation of Inner Mongolia University (No. 10000-16010109-57).
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Wang, C., Wang, S., Zhang, E., Du, J. (2020). Research on Interval Constraint Range Domain Algorithm for 3D Reconstruction Algorithm Based on Binocular Stereo Vision. In: Liang, Q., Liu, X., Na, Z., Wang, W., Mu, J., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2018. Lecture Notes in Electrical Engineering, vol 516. Springer, Singapore. https://doi.org/10.1007/978-981-13-6504-1_57
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DOI: https://doi.org/10.1007/978-981-13-6504-1_57
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