Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/3042
Title: | Robust image registration under spatially non-uniform brightness changes | Authors: | Kasparis, Takis Xu, Dongjiang |
metadata.dc.contributor.other: | Κασπαρής, Τάκης | Major Field of Science: | Engineering and Technology | Field Category: | Electrical Engineering - Electronic Engineering - Information Engineering | Keywords: | Cameras;Computer simulation;Estimation;Mathematical models | Issue Date: | Mar-2005 | Source: | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2005, vol. II, pp. II945-II948 | Conference: | IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) | 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: | https://hdl.handle.net/20.500.14279/3042 | ISBN: | 0-7803-8874-7 | DOI: | 10.1109/ICASSP.2005.1415562 | Rights: | © 2005 IEEE | Type: | Conference Papers | Affiliation: | University of Central Florida | Affiliation : | University of Central Florida | Publication Type: | Peer Reviewed |
Appears in Collections: | Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation |
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