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Your images look like being shot with an angular fisheye projection . Also, to account for epipolar geometry of stereo images, you should include the fundamental matrix into the transform engine of your geometry pipeline. To render a 3D scene in OpenCV with a fisheye camera, one uses a fisheye camera model. Regardless of a graphics software you are using, ...


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The size of the tag is an important parameter. But it is a secondary parameter. The key parameter that we are looking at here (and one that is not easy to estimate) is Signal to Noise Ratio (SNR). So, very very briefly: The bigger the tag, the more data we obtain from the tag, the better the position of the estimate will be. But, the "size of the tag&...


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You can use the vanishing points to calibrate the camera. I recommend reading Chapter 8.6 of Multiple View Geometry in Computer Vision [ http://www.cambridge.org/9780521540513 ] Even better, if you have those points on a known sized plane, then you can compute an homography H and the it is possible to compute both intrinsic and extrinsic camera matrices [...


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