Fourier Based Recovery of Anisotropic Scaling Parameters in Images

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Author(s)
Gonzalez, Ruben
Griffith University Author(s)
Year published
2013
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This paper presents a novel Fourier based approach for recovering the transformation parameters of images that have been translated, globally scaled, rotated and stretched along an arbitrary vector. The proposed method first recovers the global rotation and scaling parameters. Then Hough based techniques are used for recovering the magnitude and orientation of the stretch vector. Theory, methodology and preliminary experimental results are presented.This paper presents a novel Fourier based approach for recovering the transformation parameters of images that have been translated, globally scaled, rotated and stretched along an arbitrary vector. The proposed method first recovers the global rotation and scaling parameters. Then Hough based techniques are used for recovering the magnitude and orientation of the stretch vector. Theory, methodology and preliminary experimental results are presented.
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Conference Title
Signal Processing and Communication Systems (ICSPCS), 2013 7th International Conference on
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© 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Subject
Computer Vision