| Title: | Generalized Hebbian learning for ellipse fitting |
| Authors: | Wijewickrema, Sudanthi N. R. Papliński, Andrew P. |
| 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. |
| Issue Date: | 2005 |
| Publisher: | Václav Skala - UNION Agency |
| Document type: | konferenční příspěvek conferenceObject |
| URI: | http://wscg.zcu.cz/WSCG2005/Papers_2005/Poster/!WSCG2005_Poster_Proceedings_Final.pdf http://hdl.handle.net/11025/919 |
| ISBN: | 80-903100-8-7 |
| Keywords: | analýza hlavních komponent;lícování elipsy;generalizované Hebbův zákon učení |
| Keywords in different language: | principal component analysis;ellipse fitting;generalised Hebbian learning |
| 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. |
| Rights: | © Václav Skala - UNION Agency |
| Appears in Collections: | WSCG '2005: Posters |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Wijewickrema.pdf | Plný text | 146,29 kB | Adobe PDF | View/Open |
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