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• W2012102683 abstract "This work investigates the image registration from feature point sets. Image registration is a fundamental object recognition method in computer vision and aims to find best matches between two or more point sets when tehre are geometric distortions, point measurement errors and contamination present. This paper concentrates on image registration from feature point sets whose transformation is affine or projective and gives closed form solutions of the transformation parameters, respectively. Furthermore, the Random Sample Consensus algorithm is applied to the matching problem in order to yield the transformation, as well as a set of points in correspondence from images directly. The experimental results show that the methods are accurate, stable and are affected slightly by noise." @default.
• W2012102683 created "2016-06-24" @default.
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• W2012102683 date "2003-09-29" @default.
• W2012102683 modified "2023-10-12" @default.
• W2012102683 title "Image registration based on feature point sets" @default.
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• W2012102683 doi "https://doi.org/10.1117/12.539975" @default.
• W2012102683 hasPublicationYear "2003" @default.
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