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• 计算机视觉 • 上一篇    下一篇

一种水下运动物体三维轨迹视觉测量方法

  

  1. (1. 哈尔滨工程大学自动化学院,黑龙江 哈尔滨 150001; 2. 哈尔滨工程大学船舶工程学院,黑龙江 哈尔滨 150001)
  • 出版日期:2019-10-31 发布日期:2019-11-06
  • 基金资助:
    国家自然科学基金项目(51409059);黑龙江省博士后科研启动金项目(LBH-Q16066);中央高校基本科研业务费专项(3072019CF0409)

Three-Dimensional Trajectory Visual Measurement Method for  Underwater Moving Objects

  1. (1. College of Automation, Harbin Engineering University, Harbin Heilongjiang 150001, China; 2. College of Shipbuilding Engineering, Harbin Engineering University, Harbin Heilongjiang 150001, China)
  • Online:2019-10-31 Published:2019-11-06

摘要: 针对海洋工程中采用的设备深海悬垂法安装过程,采用多摄像头视频运动分析方 法计算水下三维运动轨迹可用于指导海洋工程的结构安装和分析设备水下运动特征。水下视频 和图像的处理获取面临着诸多挑战,首先由于水下环境悬浮物和颗粒较多,光在水下发生了散 射,使水下图像发生了退化;其次水下视频运动分析遇到的一个主要障碍是光线的折射引起的 图像误差。由于光在水、玻璃、空气不同介质间发生折射,光路发生弯曲,陆地上的摄像机成 像模型在水中不再适用,需要提出新的水下摄像机成像模型。本文引入带光线折射的水下摄像 机成像模型,研究水下摄像机的内参数和外参数标定方法,利用固定布置的 3 个水下摄像机拍 摄的目标水下运动视频来计算水下目标的轨迹。该方法适用于水池环境下水下物体大范围运动, 可以得到较为精确的轨迹,并得到了实验验证。

关键词: 水下摄像机标定, 三维轨迹, 视觉测量

Abstract: Aiming at the deep sea equipment suspension installation used in marine engineering, the multi-camera video motion analysis method is used to calculate the underwater three-dimensional motion trajectory, guiding the structural installation of the ocean engineering and analyzing the underwater motion features of the equipment. The processing of underwater video and image acquisition are facing a number of challenges. Firstly, due to the large amount of suspended matter and particles in the underwater environment, the light is scattered under water, which causes the underwater image to degenerate. Secondly, a major obstacle which underwater video motion analysis encounters is the image error caused by the refraction of light. Since the light is refracted among different media like water, glass and air, and the optical path is curved, the camera imaging model on land is no longer suitable for water use and a new underwater camera imaging model is called for. With a focus on the internal parameter and external parameter calibration method of underwater cameras, this study proposes an algorithm for calculating the three-dimensional trajectory of underwater moving objects and introduces an underwater camera imaging model with ray refraction. The underwater target motion video which is photographed by three underwater cameras fixedly arranged is proposed to calculate the 3D trajectory of the underwater target. This method is suitable for large-scale movement of underwater objects in a pool environment, and a relatively accurate trajectory can thus be obtained. The proposed method for measuring the underwater target motion trajectory is experimentally verified in the pool environment.

Key words: underwater camera calibration, three-dimensional trajectory, visual measurement