Please use this identifier to cite or link to this item: http://ktisis.cut.ac.cy/handle/10488/7030
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)
URI: http://ktisis.cut.ac.cy/handle/10488/7030
ISBN: 0-7803-8874-7
DOI: 10.1109/ICASSP.2005.1415562
Rights: © 2005 IEEE
Type: Book Chapter
Appears in Collections:Κεφάλαια βιβλίων/Book chapters

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