According to the needs of modern industry,a binocular vision system based on ZYNQ is designed,which includes image acquisition,distortion correction,cost calculation and cost aggregation.The test results show that the system only completes the image acquisition and correction with 1.649 W power consumption and finally obtains the parallax map.The calculation speed is greatly improved compared with the traditional PC,and the calculation result error is only 0.121 pixels.
Key words
binocular vision system /
ZYNQ /
image processing /
OV5640
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References
[1] 郑瑞.基于ZYNQ的双目立体视觉和目标识别导盲系统研究与实现[D].南充:西华师范大学,2022.
[2] 于蕾,李欣泽,潘大鹏,等.基于ZYNQ平台的双目图像采集实验案例设计与实现[J].实验科学与技术,2021,19(5):60-64.
[3] 徐艳平.基于双目视觉扭梳式油茶果实采摘设计与试验[D].合肥:安徽农业大学,2021.
[4] 宋逸凡.基于FPGA的全向双目视觉系统设计与实现[D].广州:华南理工大学,2021.
[5] 邓洪权.基于Zynq的双目立体视觉系统的设计[D].成都:成都理工大学,2021.
[6] 黄飞.基于ZYNQ的双目立体视觉三维传感系统及其FPGA实现[D].南京:南京理工大学,2020.
[7] 周禹辰.基于Zynq-7000的三维相机系统研究[D].北京:中国人民公安大学,2019.
[8] 潘雨坤.基于双目立体视觉的运动目标检测系统设计与实现[D].上海:华东师范大学,2019.
[9] 李春田.基于Zynq的手术导航光学定位关键技术研究[D].广州:华南理工大学,2019.
[10] 段偲丽.基于ZYNQ双目视觉弹体姿态测量方法研究[D].南京:南京理工大学,2019.
[11] 费雅倩.基于Zynq-7000的双目视觉浇筑识别定位系统设计[J].电子世界,2018(20):200.
[12] 赵复阳.基于Zynq的双目立体视觉系统的研究[D].天津:天津科技大学,2017.
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