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Proceedings Paper

Fisher information in transported generator clutter models
Author(s): Dmitri Bitouk; Ulf Grenander; Michael I. Miller; Paritosh Tyagi
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Paper 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.

Paper Details

Date Published: 22 October 2001
PDF: 14 pages
Proc. SPIE 4379, Automatic Target Recognition XI, (22 October 2001); doi: 10.1117/12.445407
Show Author Affiliations
Dmitri Bitouk, Johns Hopkins Univ. (United States)
Ulf Grenander, Brown Univ. (United States)
Michael I. Miller, Johns Hopkins Univ. (United States)
Paritosh Tyagi, Johns Hopkins Univ. (United States)

Published in SPIE Proceedings Vol. 4379:
Automatic Target Recognition XI
Firooz A. Sadjadi, Editor(s)

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