Parametric Image Alignment Using Enhanced Correlation Coefficient Maximization

In this work we propose the use of a modified version of the correlation coefficient as a performance criterion for the image alignment problem. The proposed modification has the desirable characteristic of being invariant with respect to photometric distortions. Since the resulting similarity measu...

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Bibliographic Details
Published in:	IEEE transactions on pattern analysis and machine intelligence Vol. 30; no. 10; pp. 1858 - 1865
Main Authors:	Evangelidis, G.D., Psarakis, E.Z.
Format:	Journal Article
Language:	English
Published:	Los Alamitos, CA IEEE 01.10.2008 IEEE Computer Society The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Institute of Electrical and Electronics Engineers
Subjects:	Additives Algorithms Alignment Applied sciences Artificial Intelligence Closed-form solution Computational complexity Computational modeling Computer Science Computer science; control theory; systems Computer Simulation Computer Vision and Pattern Recognition Distortion measurement Exact sciences and technology Gradient methods Image Enhancement - methods Image Interpretation, Computer-Assisted - methods Image Processing and Computer Vision Inverse Iterative methods Mathematical analysis Mathematical models Maximization Models, Statistical Motion Nonlinear distortion Pattern Recognition, Automated - methods Pattern recognition. Digital image processing. Computational geometry Photometry Predistortion Registration Studies Subtraction Technique Testing Motion Gradient methods Registration Image Processing and Computer Vision Correlation coefficient Invariant Image registration Correlation Motion estimation Similarity Image processing Iterative method parametric motion Computational complexity Modeling Optimization Inverse problem Exact solution Alignment Metric Objective function Pattern analysis Artificial intelligence Gradient method gradient methods Photometry
ISSN:	0162-8828, 1939-3539
Online Access:	Get full text
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