Appearance-based three-dimensional object recognition using independent component analysis

Harkirat S. Sahambi; Khashayar Khorasani

doi:10.1117/12.391931

17 July 2000 Appearance-based three-dimensional object recognition using independent component analysis

Harkirat S. Sahambi, Khashayar Khorasani

Proceedings Volume 4044, Hybrid Image and Signal Processing VII; (2000) https://doi.org/10.1117/12.391931
Event: AeroSense 2000, 2000, Orlando, FL, United States

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.

Citation Download Citation

Harkirat S. Sahambi and Khashayar Khorasani "Appearance-based three-dimensional object recognition using independent component analysis", Proc. SPIE 4044, Hybrid Image and Signal Processing VII, (17 July 2000); https://doi.org/10.1117/12.391931

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