Jacobians for Lebesgue registration for a range of similarity measures
Publikation: Bog/antologi/afhandling/rapport › Rapport › Forskning
In [Darkner and Sporring, 2011] was presented a framework based on locally orderless images and Lebesgue integration resulting in a fast algorithm for registration using normalized mutual information as dissimilarity measure. This report extends the algorithm to arbitrary complex similarity measures and supplies the full derivatives of a range of common dissimilarity measures as well as their obvious extensions.
Originalsprog | Engelsk |
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Forlag | Department of Computer Science, University of Copenhagen |
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Antal sider | 8 |
Status | Udgivet - 2011 |
Navn | Koebenhavns Universitet. Datalogisk Institut. Rapport |
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Nummer | 04/2011 |
ISSN | 0107-8283 |
ID: 45953557