Robust Image Registration via Cepstral Analysis
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Andrew Bradley
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Noosa, Australia
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Abstract
Cepstrum based image registration has been largely overlooked over the past two decades. Initial investigation of the method was limited to alignment of images exhibiting only translational differences. Later attempts to extend the method to handle rotations proved disappointing. This paper presents a cepstrum-based registration method that provides performance comparable to the state of the art over a wide range of scale factors and rotation angles, with reduced computational load.
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Proceedings - 2011 International Conference on Digital Image Computing: Techniques and Applications DICTA 2011
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© 2011 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.
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Computer Vision