CSS-AFFN: a dataset representation model for active recognition systems

Authors:
Elizabeth González;V. Feliú;A. Adán
Affiliations:
E.T.S. Ingenieros Industriales, University of Castilla La Mancha, Ciudad Real, Spain;E.T.S. Ingenieros Industriales, University of Castilla La Mancha, Ciudad Real, Spain;E.T.S. Ingenieros Industriales, University of Castilla La Mancha, Ciudad Real, Spain
Venue:
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part I
Year:
2011

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Abstract

This paper proposes an object database representation model for active recognition systems. This model optimizes dataset information. The objects are modeled by using the proposed Canonical Sphere Section (CSS) model and the shape is normalized to affine transformations in the spectral dominium. This dataset representation model is compared with other shape representation models and implemented in an active recognition system which develops object manipulation. Its feasibility in complex robotic applications is therefore proved.