Title
Robust Image Registration Under Spatially Non-Uniform Brightness Changes
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). ©2005 IEEE.
Publication Date
1-1-2005
Publication Title
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume
II
Number of Pages
945-948
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/ICASSP.2005.1415562
Copyright Status
Unknown
Socpus ID
33646809003 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/33646809003
STARS Citation
Xu, Dongjiang and Kasparis, Takis, "Robust Image Registration Under Spatially Non-Uniform Brightness Changes" (2005). Scopus Export 2000s. 4367.
https://stars.library.ucf.edu/scopus2000/4367