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Proceedings Paper

Appearance-based three-dimensional object recognition using independent component analysis
Author(s): Harkirat S. Sahambi; Khashayar Khorasani
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Paper Abstract

This paper presents results on appearance based 3D object recognition accomplished using Independent Component Analysis (ICA). A database of images captured by a ccd camera was used. The workspace was then sampled in a certain manner. Features were extracted from the sampled image using ICA employing information maximization approach reported recently. The features of all the objects thus obtained were saved in a database which formed the workspace manifold. The test images was also represented in a similar manner. Recognition was then performed by locating the closest point in the manifold using radial basis function network, which gave the identity and view (or pose) of the object. The use of ICA, in place of principle component analysis is expected to give a `natural' manifold with maximum significant information with least redundancy.

Paper Details

Date Published: 17 July 2000
PDF: 10 pages
Proc. SPIE 4044, Hybrid Image and Signal Processing VII, (17 July 2000); doi: 10.1117/12.391931
Show Author Affiliations
Harkirat S. Sahambi, Concordia Univ. (Canada)
Khashayar Khorasani, Concordia Univ. (Canada)


Published in SPIE Proceedings Vol. 4044:
Hybrid Image and Signal Processing VII
David P. Casasent; Andrew G. Tescher, Editor(s)

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