Translation, orentation, and scale estimation based on Laguerre-Gauss circular harmonic pyramids

Marco Carli; Fabrizio Coppola; Giovanni Jacovitti; Alessandro Neri

doi:10.1117/12.468017

22 May 2002 Translation, orentation, and scale estimation based on Laguerre-Gauss circular harmonic pyramids

Marco Carli, Fabrizio Coppola, Giovanni Jacovitti, Alessandro Neri

Proceedings Volume 4667, Image Processing: Algorithms and Systems; (2002) https://doi.org/10.1117/12.468017
Event: Electronic Imaging, 2002, San Jose, California, United States

Abstract

This paper deals with the problem of accurate position, orientation and scale estimation (localization) of objects in images, in the context of the Laguerre-Gauss Transform (GLT) theory. The solution proposed here is based on the maximization of the Maximum Likelihood functional, expressed by means of the Laguerre-Gauss expansion of the object and of the observed image. The original computational complexity of the problem, which would imply maximization over a four dimensional parameter space, is drastically reduced taking advantage of properties of the GLT image representation system.

Citation Download Citation

Marco Carli, Fabrizio Coppola, Giovanni Jacovitti, and Alessandro Neri "Translation, orentation, and scale estimation based on Laguerre-Gauss circular harmonic pyramids", Proc. SPIE 4667, Image Processing: Algorithms and Systems, (22 May 2002); https://doi.org/10.1117/12.468017

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