In the previous recipe, we saw that it is possible to recover the position of a camera that is observing a 3D scene when the camera is calibrated. The approach that was described took advantage of the fact that, sometimes, the coordinates of some 3D points visible in the scene might be known. We will now learn that if a scene is observed from more than one point of view, a 3D pose and structure can be reconstructed even if no information about the 3D scene is available. This time, we will use correspondences between image points in the different views in order to infer 3D information. We will introduce a new mathematical entity encompassing the relationship between two views of a calibrated camera, and we will discuss the principle of triangulation in order to reconstruct 3D points from 2D images.
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