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18th International Conference on Pattern Recognition (ICPR'06) Volume 2
Robust Image Registration Based on Markov-Gibbs Appearance Model
Hong Kong
August 20-August 24
ISBN: 0-7695-2521-0
ASCII Text
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Ayman El-Baz, Aly Farag, Georgy Gimel'farb, Alaa E. Abdel-Hakim, "Robust Image Registration Based on Markov-Gibbs Appearance Model," Pattern Recognition, International Conference on, vol. 2, pp. 1204-1207, 18th International Conference on Pattern Recognition (ICPR'06) Volume 2, 2006.
 
 
BibTex
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@article{ 10.1109/ICPR.2006.1007,
author = {Ayman El-Baz and Aly Farag and Georgy Gimel'farb and Alaa E. Abdel-Hakim},
title = {Robust Image Registration Based on Markov-Gibbs Appearance Model},
journal ={Pattern Recognition, International Conference on},
volume = {2},
year = {2006},
issn = {1051-4651},
pages = {1204-1207},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.1007},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Pattern Recognition, International Conference on
TI - Robust Image Registration Based on Markov-Gibbs Appearance Model
SN - 1051-4651
SP1204
EP1207
A1 - Ayman El-Baz,
A1 - Aly Farag,
A1 - Georgy Gimel'farb,
A1 - Alaa E. Abdel-Hakim,
PY - 2006
VL - 2
JA - Pattern Recognition, International Conference on
ER -
 
Ayman El-Baz, CVIP Laboratory, University of Louisville, Louisville, Kentucky, USA.
Aly Farag, CVIP Laboratory, University of Louisville, Louisville, Kentucky, USA.
Georgy Gimel'farb, University of Auckland, New Zealand.
Alaa E. Abdel-Hakim, University of Louisville, Louisville, Kentucky, USA.
A new approach to align an image of a textured object with a given prototype is proposed. Visual appearance of the images, after equalizing their signals, is modeled with a Markov-Gibbs random field with pairwise interaction. Similarity to the prototype is measured by a Gibbs energy of signal co-occurrences in a characteristic subset of pixel pairs derived automatically from the prototype. An object is aligned by an affine transformation maximizing the similarity by using an automatic initialization followed by gradient search. Experiments confirm that our approach aligns complex objects better than popular conventional algorithms.
Citation:
Ayman El-Baz, Aly Farag, Georgy Gimel'farb, Alaa E. Abdel-Hakim, "Robust Image Registration Based on Markov-Gibbs Appearance Model," icpr, vol. 2, pp.1204-1207, 18th International Conference on Pattern Recognition (ICPR'06) Volume 2, 2006
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