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Global Calibration of Two Cameras with Optical Filter with non-Overlapping Views Using 1D Square Serrated Target

机译:使用一维正方形锯齿状目标对带有光学滤镜且无重叠视图的两台摄像机进行全局校准

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Many multi-vision measurement systems like outdoor industrial engineering utilize optical filter to filter unexpected light which makes it impossible to use traditional planar pattern for calibration. In this paper, we propose a stereo vision global calibration method for non-overlapping views that comprises two cameras, an optical line laser whose wave band within the optical filter's and 1D square serrated target. Vertex-points coordinates in the camera coordinate frame (CCF) are obtained based on the cross ratio invariance theory and vanishing points. Initial rotation vector and translation vector are confirmed by flexibly moving the target to at least three different positions. After a nonlinear refinement, external parameters are precisely determined. Experimental results show that the measurement accuracy reaches to 0.06 mm within the cameras' FOV of 450mm*370mm.
机译:许多多视点测量系统,例如户外工业工程,都使用滤光片过滤意外的光,这使得不可能使用传统的平面图案进行校准。在本文中,我们提出了一种用于不重叠视图的立体视觉全局校准方法,该方法包括两个摄像头,一个光学线激光器,其波段位于光学滤波器的内部,以及一维方形锯齿状目标。根据交叉比率不变性理论和消失点,获得摄像机坐标系(CCF)中的顶点坐标。通过将目标灵活移动到至少三个不同位置,可以确认初始旋转向量和平移向量。经过非线性优化后,可以精确确定外部参数。实验结果表明,在450mm * 370mm的摄像机视场范围内,测量精度达到0.06mm。

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