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VAST: International Symposium on Virtual Reality
We present a simple, fast and robust technique for semi-automatic 2D-3D registration capable to align a large set of unordered images to a massive point cloud with minimal human effort. Our method converts the hard to solve image-to-geometry registration problem in a Structure-from-Motion (SfM) plus a 3D-3D registration problem. We exploit a SfM framework that, starting just from the unordered image collection, computes an estimate of camera parameters and a sparse 3D geometry deriving fromdoi:10.2312/vast/vast11/009-016 fatcat:mfxm72rkn5cvxljsummr5v2n4e