Generalized Hebbian learning for ellipse fitting
Date issued
2005
Journal Title
Journal ISSN
Volume Title
Publisher
Václav Skala - UNION Agency
Abstract
In this paper, we investigate the use of a neural network employing Genralised Hebbian Learning for the approximation
of an image of a hypothetically ellipsoidal object as an ellipse. Further, we discuss how the same algorithm
is used with higher dimensional data to model hyperellipsoids, with the basic aim at a specific application, namely
the modelling of an object as an ellipsoid given a set of 3-dimensional points.
Description
Subject(s)
analýza hlavních komponent, lícování elipsy, generalizované Hebbův zákon učení
Citation
WSCG '2005: Posters: The 13-th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2005 in co-operation with EUROGRAPHICS, University of West Bohemia, Plzen, Czech Republic, p. 71-72.