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作 者:李明[1,2] 苏志龙 张东升 Li Ming;Su Zhilong;Zhang Dongsheng(School of Mechanics and Engineering Science,Shanghai University,Shanghai 200444,China;Shanghai Key Laboratory of Mechanics in Energy Engineering,Shanghai Institute of Applied Mathematics and Mechanics,Shanghai 200444,China)
机构地区:[1]上海大学力学与工程科学学院,上海200444 [2]上海市应用数学与力学研究所上海市能源工程力学重点实验室,上海200444
出 处:《光学学报》2021年第9期119-125,共7页Acta Optica Sinica
基 金:国家重点研发计划(2018YFF01014200);国家自然科学基金(11727804,51732008,11672347,12002197,12072184);中国博士后科学基金(2020M671070);上海市“超级博士后”资助计划(2019192)。
摘 要:随着数字图像相关方法被逐渐应用于远距离工程结构多点挠度监测等任务中,户外等非控制测量场景中的相机抖动成为影响测量精度的主要原因之一。为了消除相机抖动对目标点位移测量的影响,基于描述针孔相机运动的投影模型,建立了远距离下表征相机扰动运动的仿射变换模型,并结合稳定参考点,对相机运动后的图像点坐标进行了校正。为了验证仿射模型的有效性,进行了三组平移实验。实验结果表明,在工作距离大于2 m的情况下,仿射变换模型以较为简单的形式有效消除了相机扰动引起的测量误差,而且不受参考点和目标点深度分布的影响。As the digital image correlation technique is gradually applied to the tasks such as long-distance multi-point deflection monitoring of engineering structures,camera shake in the non-controlled measurement scenarios such as outdoor scene has become one of the main reasons that affect the measurement accuracy.In order to eliminate the influence of camera shake on target displacement measurement,this study firstly establishes an affine transformation model that represents the camera disturbance movement at a long distance based on the projection model of the pinhole camera movement,and then combines the stable reference points to correct the image point coordinates after the camera movement.To verify the effectiveness of the affine model,three sets of translation experiments are carried out.The experimental results show that when the working distance is greater than 2 m,the affine transformation model effectively eliminates the measurement errors caused by camera shake in a simple way and is not influenced by the depth distributions of the reference and target points.
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