水下机器人双目视觉感知技术分析

Zhuang Sheng, Qiang Zhao, Gang Wang, Yingjie Song
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摘要

视觉技术在auv (Autonomous Underwater vehicle)水下作业中起着至关重要的作用。本文构建了双目立体视觉的三维模式来完成目标的定位。然后阐述了水下图像失真的问题,并介绍了一种校正图像失真的方法。基于水下物理成像,水下图像处理方法分为水下图像增强和水下图像恢复。对两种方法的研究现状进行了分析和评述。对上述方法的优缺点进行了总结和讨论,并对未来的发展趋势进行了预测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of binocular visual perception technology of underwater robot
Vision technology plays an important role when AUVs (Autonomous Underwater Vehicles) operate underwater. In this paper, the three-dimensional mode of binocular stereo vision is constructed to complete the positioning of the target. This article then explains the problem of distorted underwater images and introduces a method to correct distorted images. Based on underwater physical imaging, the underwater image processing methods are divided into underwater image enhancement and underwater image restoration. The research status of the two ways is analyzed and reviewed. The advantages and disadvantages of the above methods are summarized and discussed, and the future development trend is predicted.
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