Automatically assigned DDC number: 00637

Manually assigned DDC number: 00637

Number of references: 8

Title: Object Recognition with a Sparse and Autonomously Learned Representation Based on Banana Wavelets

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Subject: Norbert Kruger,Gabriele Peters,Christoph Von Der Malsburg,Norbert Krugerx,Gabriele Petersx,Christoph Malsburgxz,Ruhr-universitat Bochum Object Recognition with a Sparse and Autonomously Learned Representation Based on Banana Wavelets

Description: We introduce an object recognition system, based on the well known Elastic Graph Matching (EGM), but includes significant improvements compared to earlier versions. Our basic features are banana wavelets, which are generalized Gabor wavelets. In addition to the qualities frequency and orientation, banana wavelets have the attributes curvature and size. Banana wavelets can be metrically organized. A sparse and efficient representation of object classes is learned utilizing this metric organization. Learning is guided by a sensible amount of a priori knowledge in form of basic principles. The learned representation is used for a fast matching. Significant speed up can be achieved by hierarchical processing of features. Furthermore manual construction of ground truth is replaced by an automatic generation of suitable training examples using motor controlled feedback. We motivate the biological plausibility of our approach by utilizing concepts like hierarchical processing or metrical orga...

Contributor: The Pennsylvania State University CiteSeer Archives

Publisher: unknown

Date: 1997-01-22

Pubyear: 1996

Format: ps

Identifier: http://citeseer.ist.psu.edu/171202.html

Source: ftp://ftp.neuroinformatik.ruhr-uni-bochum.de/pub/manuscripts/IRINI/irini96-11/IRINI96-11.ps.gz

Language: en

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Rights: unrestricted

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