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Optimal Image Alignment With Random Projections of Manifolds: Algorithm and Geometric Analysis
2011
IEEE Transactions on Image Processing
This paper addresses the problem of image alignment based on random measurements. Image alignment consists in estimating the relative transformation between a query image and a reference image. We consider the specific problem where the query image is provided in compressed form in terms of linear measurements captured by a vision sensor. We cast the alignment problem as a manifold distance minimization problem in the linear subspace defined by the measurements. The transformation manifold that
doi:10.1109/tip.2010.2102044
pmid:21189239
fatcat:dkyslzpecfgwdlkwhacjv3tp3u