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- W1567650023 abstract "In this paper an algorithm of estimating the dispIacement parameters of moving objects in time-Varying sequences is presented. The Maximum likelihood (ML) method is used for the estimation procedure. It will be shown that by invoking the invariance property of the maximum likelihood method closed form solution which includes scale change rotation and translations can be obtained. Subpixel displacements which is a desirable feature for accurate registration call also be estimated. The Cramer-Rao lower bound of the estimates' variances are derived and used as a means to improve the performance of the algorithm, An iterative scheme is also proposed for large displacement estimation. Finally, several experimental results on both synthetic and Forward Looking Infrared Radar (FLIR) images will be shown." @default.
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- W1567650023 date "2005-08-24" @default.
- W1567650023 modified "2023-09-27" @default.
- W1567650023 title "Displacement Estimation in Time Varying Image Sequences Using Maximum Likelihood Method+" @default.
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- W1567650023 doi "https://doi.org/10.1109/icsmc.1988.712864" @default.
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