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Digital image correlation with a moving camera using structure from motion calibration

机译:数字图像与移动相机的相关性,使用运动校准结构

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The application of digital image correlation (DIC) in structural monitoring can benefit from the use of remote controlled image acquisition systems such as unmanned aerial vehicles (UAVs) in cases where the structure to be assessed is of difficult accessibility. However, this configuration does not always allow normal camera calibration procedures to be followed. In this work, a camera is manually moved around an object prepared with a speckle pattern, in a reference state and later in a loaded state, in an attempt to emulate the behaviour of a UAV. A structure from motion (SfM) algorithm is applied to the captured images in order to obtain camera calibration parameters for each image, using the features found in the object's surroundings. An image pair from each state is chosen and 3D DIC is performed on the object using the previously obtained calibration.
机译:数字图像相关(DIC)在结构监测中的应用可以受益于在待评估结构的诸如无人驾驶飞行器(UAV)的遥控图像采集系统(UVS)的使用中受益于难以访问的情况。 但是,此配置并不总是允许遵循正常的相机校准程序。 在这项工作中,在参考状态下,在引用状态下,在引用状态下手动地移动相机,以便在加载状态下手动移动。 从运动(SFM)算法的结构应用于捕获的图像,以便使用对象周围环境中的特征获得每个图像的相机校准参数。 选择来自每个状态的图像对,并且使用先前获得的校准对象对对象执行3D DIC。

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