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Least-squares 3D reconstruction from one or more views and geometric clues
2005
Computer Vision and Image Understanding
We present a method to reconstruct from one or more images a scene that is rich in planes, alignments, symmetries, orthogonalities, and other forms of geometrical regularity. Given image points of interest and some geometric information, the method recovers least-squares estimates of the 3D points, camera position(s), orientation(s), and eventually calibration(s). Our contributions lie (i) in a novel way of exploiting some types of symmetry and of geometric regularity, (ii) in treating
doi:10.1016/j.cviu.2005.01.002
fatcat:epwpjlb6yvaqrhmi4zzvl3zqiy