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基于物体表面形貌的单相机视觉位姿测量方法
引用本文:关印, 王向军, 阴雷, 等. 基于物体表面形貌的单相机视觉位姿测量方法[J]. 光电工程, 2018, 45(1): 170522. doi: 10.12086/oee.2018.170522
作者姓名:关印  王向军  阴雷  万子敬
作者单位:1. 天津大学精密测试技术及仪器国家重点实验室,天津 300072; 2. 天津大学微光机电系统技术教育部重点实验室,天津 300072
基金项目:国家自然科学基金(51575388)资助项目
摘    要:

为了获取在风洞实验中运动物体的位姿变化,提出了一种融合物体表面三维形貌信息的单相机视觉位姿测量方法。该方法以多点透视成像原理作为求解物体位姿变化的基础,以物体的图像特征角点作为特征点,并利用物体表面三维形貌模型信息获得特征点的三维坐标。通过实验完成了该测量方法的精度验证,在400 mm的观察距离上,位移平均测量误差为0.03 mm,均方根误差为0.234 mm;俯仰角、偏航角与滚转角的平均误差分别为0.08°、0.1°与0.09°,均方根误差分别为0.485°、0.312°与0.442°。实验结果表明该方法有可用于实用的测量精度。



关 键 词:机器视觉   位姿测量   单相机视觉   特征匹配   表面形貌   三维重建
收稿时间:2017-09-27
修稿时间:2017-11-17

Monocular position and pose measurement method based on surface topography of object
Guan Yin, Wang Xiangjun, Yin Lei, et al. Monocular position and pose measurement method based on surface topography of object[J]. Opto-Electronic Engineering, 2018, 45(1): 170522. doi: 10.12086/oee.2018.170522
Authors:Guan Yin  Wang Xiangjun  Yin Lei  Wan Zijing
Affiliation:1. State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin 300072, China; 2. Key Laboratory of MOEMS of the Ministry of Education, Tianjin University, Tianjin 300072, China
Abstract:In order to obtain the change of posture of moving objects in wind tunnel experiment, a method of single-camera visual pose measurement based on three-dimensional topography model of object surface is proposed. The method uses the multi-perspective imaging principle to solve the target pose, obtains the feature corner point on the target as the characteristic point needed for the solution, and proposes to use target's 3D surface topography information to obtain the geometric relationships between feature points. In this paper, the accuracy of the measurement method is verified under the laboratory conditions. The average accuracy of displacement is 0.23 mm and the mean square error is 0.234 mm. The accuracy of the pitch angle, yaw angle and roll angle are 0.08°, 0.1°and 0.09°, respectively, and the mean square error are 0.485°, 0.312°and 0.442°. The experimental results show that the method can be used for practical measurement.
Keywords:machine vision  pose measurement  monocular vision  feature match  surface topography  3D reconstruction
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