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Method for separating video camera motion from scene motion for constrained 3D displacement measurements

机译:用于约束3D位移测量的将摄像机运动与场景运动分离的方法

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Camera motion is a potential problem when a video camera is used to perform dynamic displacement measurements. If the scene camera moves at the wrong time, the apparent motion of the object under study can easily be confused with the real motion of the object. In some cases, it is practically impossible to prevent camera motion, as for instance, when a camera is used outdoors in windy conditions. A method to address this challenge is described that provides an objective means to measure the displacement of an object of interest in the scene, even when the camera itself is moving in an unpredictable fashion at the same time. The main idea is to synchronously measure the motion of the camera and to use those data ex post facto to subtract out the apparent motion in the scene that is caused by the camera motion. The motion of the scene camera is measured by using a reference camera that is rigidly attached to the scene camera and oriented towards a stationary reference object. For instance, this reference object may be on the ground, which is known to be stationary. It is necessary to calibrate the reference camera by simultaneously measuring the scene images and the reference images at times when it is known that the scene object is stationary and the camera is moving. These data are used to map camera movement data to apparent scene movement data in pixel space and subsequently used to remove the camera movement from the scene measurements.
机译:当使用摄像机执行动态位移测量时,摄像机运动是一个潜在的问题。如果场景摄像机在错误的时间移动,则容易将被研究对象的视在运动与对象的真实运动混淆。在某些情况下,实际上是不可能防止相机运动的,例如,在大风条件下在室外使用相机时。描述了一种解决该挑战的方法,该方法提供了一种客观的手段来测量场景中感兴趣对象的位移,即使相机本身同时以不可预测的方式移动时也是如此。主要思想是同步测量摄像机的运动,并事后使用这些数据减去摄像机运动引起的场景中的表观运动。场景摄像机的运动是通过使用固定在场景摄像机上并朝向固定参考对象的参考摄像机进行测量的。例如,该参考物体可以在地面上,已知该地面是静止的。当已知场景对象是静止的并且相机正在移动时,需要通过同时测量场景图像和参考图像来校准参考相机。这些数据用于将摄像机运动数据映射到像素空间中的视在场景运动数据,随后用于从场景测量中删除摄像机运动。

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