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异构双目立体视觉系统的标定与定位分析。

Calibration and location analysis of a heterogeneous binocular stereo vision system.

出版信息

Appl Opt. 2021 Aug 20;60(24):7214-7222. doi: 10.1364/AO.428054.

Abstract

In the dairy farming industry, we can obtain the temperature, color, and location information of dairy cows by patrol inspection robot so as to monitor the health status and abnormal behaviors of dairy cows. We build and calibrate a heterogeneous binocular stereo vision (HBSV) system comprising a high-definition color camera and infrared thermal camera and mount it on a patrol inspection robot. First, based on the traditional chessboard, an easy-to-make calibration board for the HBSV system is designed. Second, an accurate locating and sorting algorithm for the calibration points of the calibration board is designed. Then, the cameras are calibrated and the HBSV system is stereo-calibrated. Finally, target locating is achieved based on the above calibration results and Yolo target detection technology. In this paper, several experiments are carried out from many aspects. The target locating average error of HBSV system is 3.11%, which satisfies the needs of the dairy farming environment. The video's FPS captured by using HBSV is 7.3, which is 78% higher than that by using binocular stereo vision system and infrared thermal camera. The results show that the HBSV system has application value to a certain degree.

摘要

在奶牛养殖业中,我们可以通过巡检机器人获取奶牛的温度、颜色和位置信息,从而监测奶牛的健康状况和异常行为。我们构建并校准了一个由高清彩色相机和红外热像仪组成的异构双目立体视觉(HBSV)系统,并将其安装在巡检机器人上。首先,基于传统棋盘,设计了一种易于制作的 HBSV 系统校准板。其次,设计了一种用于校准板校准点的精确定位和分类算法。然后,对相机进行标定,对 HBSV 系统进行立体标定。最后,基于上述标定结果和 Yolo 目标检测技术实现目标定位。本文从多个方面进行了实验。HBSV 系统的目标定位平均误差为 3.11%,满足了奶牛养殖环境的需求。使用 HBSV 拍摄的视频的 FPS 为 7.3,比使用双目立体视觉系统和红外热像仪拍摄的视频的 FPS 高 78%。结果表明,HBSV 系统具有一定的应用价值。

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