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dc.contributor.authorKybic, Jan
dc.date.accessioned2012-05-10T12:42:26Z
dc.date.available2012-05-10T12:42:26Z
dc.date.issued2004-10
dc.identifier.citationKYBIC, J.: High-Dimensional Mutual Information Estimation for Image Registration. In ICIP'04: Proceedings of the 2004 IEEE International Conference on Image Processing. Piscataway: IEEE, 2004, p. 4. ISBN 0-7803-8555-1. DOI: 10.1109/ICIP.2004.1421419eng
dc.identifier.urihttp://hdl.handle.net/10467/9402
dc.description.abstractWe present a new algorithm for mutual information estimation for image registration based on the nearest neighbor entropy estimator of Kozachenko and Leonenko. We modify the algorithm to be numerically robust and computationally efficient, with optimal asymptotic complexity O(Npixelsddim). We propose two MI-based criteria exploiting the high-dimensionality of the feature space and show their effectiveness in determining the correct alignment even in difficult cases when classical criteria fail.eng
dc.language.isocescze
dc.publisherIEEEcze
dc.rights© 2004 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.eng
dc.titleHigh-Dimensional Mutual Information Estimation For Image Registrationcze
dc.typepříspěvek z konference - tištěnýcze
dc.identifier.doi10.1109/ICIP.2004.1421419
dc.identifier.doihttp://dx.doi.org/10.1109/ICIP.2004.1421419


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