光学技术, 2019, 45 (1): 29, 网络出版: 2019-04-16
一种深海游动生物三维原位观测系统
A deep-sea swimming biology three-dimensional in situ observation system
深海生物 原位测量 水下双目视觉 水下相机模型 轮廓分段测量 deep sea creatures in-situ observation underwater binocular vision underwater camera models contour segmentation measurements
摘要
为了解决目前深海生物探索中存在的“有观无测”问题,提出并研发了基于立体视觉的深海生物原位观测系统。深入研究了水下三维视觉的关键技术,解决了水下视觉系统标定问题。针对游动生物扭曲段高精度测量,提出了一种基于Ramer算法的鱼类轮廓分段测量算法。结合特征匹配算法及极线约束条件完成匹配工作。基于所研制的搭载三维视觉系统的深海水下作业平台开展了试验，结果表明，在1.5m的工作距离条件下,水下测量精度为1.0mm。
Abstract
In order to solve the problem of "observation without measurement" in the current deep-sea biological exploration,it is proposed and developed an in-situ observation system for deep-sea organisms based on stereo vision. The key technology of underwater three-dimensional vision was studied, the calibration of underwater vision system is solved. Aiming at the high-precision measurement method of the moving creature twisted segment, a segmentation measurement algorithm based on Ramer algorithm was proposed. Matching algorithm and epipolar constraints were used to complete the stereo matching. The experimental study was conducted based a developed deep seawater operating platform equipped with a three-dimensional vision system. The results show that the measurement accuracy is 1mm at a working distance of 1.5m.
李海超, 张曦, 郑旻辉, 杨俊毅. 一种深海游动生物三维原位观测系统[J]. 光学技术, 2019, 45(1): 29. LI Haichao, ZHANG Xi, ZHENG Minhui, YANG Junyi. A deep-sea swimming biology three-dimensional in situ observation system[J]. Optical Technique, 2019, 45(1): 29.
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