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Fourier based registration of differentially scaled images
Abstract
This paper presents a novel Fourier based approach for registration of images that have been translated, rotated, scaled and stretched. Fourier based techniques are computationally efficient and provide noise resilience but beyond similarity transformed images they do not extend readily to more general affine deformations. The proposed method relies on applying a Hough circle transform to a generated log-polar correlation surface in conjunction with various techniques for noise rejection. Applicable theory, methodology and preliminary results are presented.
Conference Title
Proceedings of The IEEE International Conference on Image Processing (ICIP 2013)
Copyright Statement
© 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