22 May 2002 Translation, orentation, and scale estimation based on Laguerre-Gauss circular harmonic pyramids
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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.
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Marco Carli, Fabrizio Coppola, Giovanni Jacovitti, 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); doi: 10.1117/12.468017; https://doi.org/10.1117/12.468017
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