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Efficient Exact Algorithm for the "least Squares" Image Registration Problem
Karel Zikan
Stanford University. Systems Optimization Laboratory
出版
Stanford University, Department of Operations Research, Systems Optimization Laboratory
, 1989
URL
http://books.google.com.hk/books?id=QfQEAAAAIAAJ&hl=&source=gbs_api
註釋
Abstract: "Image registration involves estimating how one set of n-dimensional points is rotated, scaled, and translated into a second set of n-dimensional points. In practice, n is usually 2 or 3. We give an exact algorithm to solve the 'least-squares' formulation of the two-dimensional registration problem. The algorithm, which is based on parametric linear programming, can be viewed as a refinement of the O(k[superscript 3]) approximation method proposed by Zikan and Silberberg [13]. The approach can be extended to handle registration of images of different cardinalities."