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A Novel Visual Measurement Method for Three-Dimensional Trajectory of Underwater Moving Objects Based on Deep Learning

机译：基于深度学习的水下移动物体三维轨迹的一种新型视觉测量方法

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Tao Liu; Ningning Wang; Lei Zhang; Shangmao Ai; Hongwang Du;
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1. Classification methods of a small sample target object in the sky based on the higher layer visualizing feature and transfer learning deep networks [J] . Chen Yu, Meng Hongbing, Wen Xinling, Eurasip Journal on Wireless Communications and Networking . 2018,第期

机译：基于较高层可视化特征的天空中小样本目标对象的分类方法和转移学习深网络
2. Classification methods of a small sample target object in the sky based on the higher layer visualizing feature and transfer learning deep networks [J] . Yu Chen, Hongbing Meng, Xinling Wen, Eurasip Journal on Wireless Communications and Networking . 2018,第1期

机译：基于较高层可视化特征的天空中小样本目标对象的分类方法和传输学习深网络
3. A Moving Object Detection Method Using Deep Learning-Based Wireless Sensor Networks [J] . Linghua Zhao, Zhihua Huang Complexity . 2021,第a期

机译：一种使用深基于学习的无线传感器网络的移动物体检测方法
4. Planning the visual measurement of n moving objects by m moving cameras, given their relative trajectories [C] . Nourzadeh Hamidreza, McInroy John E. 2011 IEEE International Conference on Control Applications . 2011

机译：给定m个运动相机的相对轨迹，规划n个运动对象的视觉测量
5. Effects of computer-based animated and static graphics on learning to visualize three-dimensional objects. [D] . Spangler, Ronald Dale. 1994

机译：基于计算机的动画和静态图形对学习以可视化三维对象的影响。
6. A Trajectory and Orientation Reconstruction Method for Moving Objects Based on a Moving Monocular Camera [O] . Jian Zhou, Yang Shang, Xiaohu Zhang, 2015

机译：基于运动单目相机的运动目标轨迹定向重构方法
7. Classification methods of a small sample target object in the sky based on the higher layer visualizing feature and transfer learning deep networks [O] . Yu Chen, Hongbing Meng, Xinling Wen, 2018

机译：基于较高层可视化特征的天空中小样本目标对象的分类方法和传输学习深网络

A Novel Visual Measurement Method for Three-Dimensional Trajectory of Underwater Moving Objects Based on Deep Learning

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