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Real-time binocular stereo vision system based on FPGA
Author(s): Jiawei Ma; Wei Yin; Chao Zuo; Shijie Feng; Qian Chen
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Paper Abstract

Binocular stereo vision, as a typical technique of computer vision, is versatile in three-dimensional shape measurement. However, the efficiency and speed are limited by the inherent instruction cycle delay within traditional computers, leading to large quantities of image data and computational complexity. Consequently, this paper describes a real-time binocular stereo vision system based on FPGA implementation. Considering FPGA’s parallel architecture, both in storing and calculating, the whole system is a full-pipeline design and synchronized with the identical system clock so that different parts of the stereo processing can work simultaneously to improve the processing speed. As the complete image processing framework contains rectification, stereo correspondence and the left-right consistency check is realized by only one FPGA chip without other external devices, making system highly integrated and low cost. To avoid unnecessary cost of the FPGA resource, the dual-camera calibration is done offline by MFC-based software while the intrinsic and extrinsic parameters are transmitted into the FPGA through system interaction.

Paper Details

Date Published: 24 July 2018
PDF: 5 pages
Proc. SPIE 10827, Sixth International Conference on Optical and Photonic Engineering (icOPEN 2018), 108271U (24 July 2018); doi: 10.1117/12.2500769
Show Author Affiliations
Jiawei Ma, Nanjing Univ. of Science and Technology (China)
Wei Yin, Nanjing Univ. of Science and Technology (China)
Chao Zuo, Nanjing Univ. of Science and Technology (China)
Shijie Feng, Nanjing Univ. of Science and Technology (China)
Qian Chen, Nanjing Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 10827:
Sixth International Conference on Optical and Photonic Engineering (icOPEN 2018)
Yingjie Yu; Chao Zuo; Kemao Qian, Editor(s)

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