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Proceedings Paper

Geometric parameter estimation with a multiscale template library
Author(s): Roger M. Dufour; Eric L. Miller; Nikolas P. Galatsanos
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Paper Abstract

A common image processing problem is determining the location of an object using a template when the size and rotation of the object are unknown. In the case of known geometric parameters, it is possible to use an impulse reconstruction technique to determine object location. In the case of unknown parameters, we show that localization is possible by computing a likelihood surface for a dense sampling of the size and rotation space. However, the surface produced is not amenable to conventional minimization methods due to local minima and regions of small or zero gradient. Using a smooth approximate template, we can overcome these difficulties at the expense of estimation accuracy. We therefore demonstrate a technique which employs a library of templates starting from the smooth approximation and adding detail until the exact template is reached. Successively estimating the geometric parameters using these templates achieves the accuracy of the exact template while remaining within a well-behaved 'bowl' in the search space which allows standard minimization techniques to be used.

Paper Details

Date Published: 17 August 2000
PDF: 10 pages
Proc. SPIE 4050, Automatic Target Recognition X, (17 August 2000); doi: 10.1117/12.395585
Show Author Affiliations
Roger M. Dufour, Northeastern Univ. (United States)
Eric L. Miller, Northeastern Univ. (United States)
Nikolas P. Galatsanos, Illinois Institute of Technology (United States)


Published in SPIE Proceedings Vol. 4050:
Automatic Target Recognition X
Firooz A. Sadjadi, Editor(s)

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