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Synchronization and calibration of a stereo vision system

机译:立体视觉系统的同步和校准

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In this paper, we design a stereo image and video acquisition system with adjustable baseline and relative angle. Stereo vision has been used both for field robotic navigation and 3D wave reconstruction. However, there has been inadequate documentation about the synchronization performance of such system. For a dynamically moving scene, such as the wave, any delay between the two cameras will affects the accuracy of the disparity map. The present study presents a physical process to measure the delay between the two cameras. Firstly, we obtain the maximum frame rate of camera when it is triggered by external signal. Then we adopt a free fall experiment to measure the delay between trigger intervals at maximum frame rate. The relationship between baseline distance, calibration checker box tile size and target distance is discussed. Two calibration tools, i.e. MATLAB and WASS are compared using a range of distances.
机译:在本文中,我们设计了具有可调节基线和相对角度的立体图像和视频采集系统。立体视觉已经用于现场机器人导航和3D波重建。但是,有关此类系统的同步性能的文档不足。对于诸如波的动态移动场景,两个相机之间的任何延迟都会影响视差图的准确性。本研究提出了一种测量两个相机之间的延迟的物理过程。首先,我们在由外部信号触发时获得相机的最大帧速率。然后我们采用自由跌落实验,以最大帧速率测量触发间隔之间的延迟。讨论了基线距离,校准检查盒块大小和目标距离之间的关系。使用一系列距离比较两个校准工具,即Matlab和Wass。

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