Please use this identifier to cite or link to this item:
Title: Robust image registration under spatially non-uniform brightness changes
Authors: Kasparis, Takis 
Xu, Dongjiang
Keywords: Cameras;Computer simulation;Estimation;Mathematical models
Issue Date: 2005
Publisher: IEEE
Source: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2005, Volume II, Pages II945-II948
Abstract: Based on a non-linear image representation, we propose a novel robust approach for registration of images under spatial brightness changes. The image registration is formulated as a two-stage hybrid framework combining both a new point-based algorithm and a robust estimation with M-estimators in a coarse-to-fine manner. With the point-based algorithm applied at the highest level of decomposition, the initial affine parametric model can be first estimated. Subsequently, the robust estimation using M-estimators is incorporated into the hierarchical framework for completeness. Experimental results demonstrate that our proposed algorithm achieves higher accuracy and efficiency than the approach by brightness variation modeling with low-order polynomial functions (BVM)
ISBN: 0-7803-8874-7
DOI: 10.1109/ICASSP.2005.1415562
Rights: © 2005 IEEE
Type: Book Chapter
Appears in Collections:Κεφάλαια βιβλίων/Book chapters

Show full item record


checked on May 1, 2018

Page view(s) 50

Last Week
Last month
checked on Feb 23, 2019

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.