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|Title:||Robust image registration under spatially non-uniform brightness changes||Authors:||Kasparis, Takis
|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|
|Appears in Collections:||Κεφάλαια βιβλίων/Book chapters|
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