22 October 2001 Fisher information in transported generator clutter models
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Abstract
Our work focuses on automated recognition of target obscured by clutter. Considering clutter as a filtered marked point Poisson process, a MMSE pose estimator of rigid objects in obscuring clutter is introduced. We also build asymptotic approximations for Bayesian posterior distributions based on the Fisher information. We relate the Fisher information to the Hilber-Schmidt pose estimator, the expected error of which is shown to be a lower bound on the error incurred by any other pose estimator.
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Dmitri Bitouk, Dmitri Bitouk, Ulf Grenander, Ulf Grenander, Michael I. Miller, Michael I. Miller, Paritosh Tyagi, Paritosh Tyagi, } "Fisher information in transported generator clutter models", Proc. SPIE 4379, Automatic Target Recognition XI, (22 October 2001); doi: 10.1117/12.445407; https://doi.org/10.1117/12.445407
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