Paper
12 January 2018 The implementation of depth measurement and related algorithms based on binocular vision in embedded AM5728
Zhiwei Deng, Xicai Li, Junsheng Shi, Xiaoqiao Huang, Feiyan Li
Author Affiliations +
Abstract
Depth measurement is the most basic measurement in various machine vision, such as automatic driving, unmanned aerial vehicle (UAV), robot and so on. And it has a wide range of use. With the development of image processing technology and the improvement of hardware miniaturization and processing speed, real-time depth measurement using dual cameras has become a reality. In this paper, an embedded AM5728 and the ordinary low-cost dual camera is used as the hardware platform. The related algorithms of dual camera calibration, image matching and depth calculation have been studied and implemented on the hardware platform, and hardware design and the rationality of the related algorithms of the system are tested. The experimental results show that the system can realize simultaneous acquisition of binocular images, switching of left and right video sources, display of depth image and depth range. For images with a resolution of 640 × 480, the processing speed of the system can be up to 25 fps. The experimental results show that the optimal measurement range of the system is from 0.5 to 1.5 meter, and the relative error of the distance measurement is less than 5%. Compared with the PC, ARM11 and DMCU hardware platforms, the embedded AM5728 hardware is good at meeting real-time depth measurement requirements in ensuring the image resolution.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhiwei Deng, Xicai Li, Junsheng Shi, Xiaoqiao Huang, and Feiyan Li "The implementation of depth measurement and related algorithms based on binocular vision in embedded AM5728", Proc. SPIE 10620, 2017 International Conference on Optical Instruments and Technology: Optoelectronic Imaging/Spectroscopy and Signal Processing Technology, 106201A (12 January 2018); https://doi.org/10.1117/12.2294510
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KEYWORDS
Cameras

Imaging systems

Ranging

Calibration

Image processing

Algorithm development

Computing systems

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