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Fast Entropy-Based Nonrigid RegistrationE. Suarez, J. A. Santana, Eduardo Rovaris, C.-F. Westin, J. Ruiz-AlzolaComputer Aided Systems Theory (EUROCAST'03), Lecture Notes in Computer Science 2809 Pages 607-615 February 24-28, 2003 AbstractComputer vision tasks such as learning, recognition, classification or segmentation applied to spatial data often requires spatial normalization of repeated features and structures. Spatial normalization, or in other words, image registration, is still a big hurdle for the image processing community. Its formulation often relies on the fact that correspondence is achieved when a similarity measure is maximized. This paper presents a novel similarity measuring technique based on a coupling function inside a template matching framework. It allows using any entropy-based similarity metric, which is crucial for registration using different acquisition devices. Results are presented using this technique on a multiresolution incremental scheme.
ReferenceSuarez E, Santana JA, Rovaris E, Westin CF, Ruiz-Alzola J. Fast entropy-based nonrigid registration. In RM Diaz, AQ Arencibia, eds., Computer Aided Systems Theory (EUROCAST'03), Lecture Notes in Computer Science 2809. Las Palmas de Gran Canaria, Spain: Springer Verlag, 2003;607-615.Bibtex entry
@INPROCEEDINGS{suarezEUROCAST03,
author = {E. Suarez and J. A. Santana and Eduardo Rovaris and C.-F.
Westin and J. Ruiz-Alzola},
title = {Fast Entropy-Based Nonrigid Registration},
editor = {Roberto Moreno Diaz and Alexis Quesada Arencibia},
booktitle = {Computer Aided Systems Theory (EUROCAST'03), Lecture Notes
in Computer Science 2809},
pages = {607--615},
month = {February 24--28},
year = 2003,
address = {Las Palmas de Gran Canaria, Spain},
publisher = {Springer Verlag},
note = {}
}
GrantsNIH P41-RR13218 (NAC), CIMIT, TIC2001-3808-C02, FPI AP98-52835909Research areaRegistration |
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