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Cognitive Computation
Erschienen in: Cognitive Computation 2/2010

01.06.2010

3D Object Recognition Based on Some Aspects of the Infant Vision System and Associative Memory

verfasst von: Roberto A. Vázquez, Humberto Sossa, Beatriz A. Garro

Erschienen in: Cognitive Computation | Ausgabe 2/2010

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Abstract

A view-based method for 3D object recognition based on some biological aspects of infant vision is proposed in this paper. The biological hypotheses of this method are based on the role of the response to low frequencies at early stages as well as some conjectures concerning how an infant detects subtle features (stimulating points) from an object. In order to recognize an object from different images of it (at different orientations from 0° to 360°), we make use of a dynamic associative memory (DAM). As the infant vision responds to low frequencies of the signal, a low-filter is first used to remove high frequency components from the image. Then, we detect subtle features in the image by means of a random feature selection detector. At last, the DAM is fed with this information for training and recognition. To test the accuracy of the proposed model, we use the Columbia Object Image Library (COIL 100) database.
Vorheriger Artikel Cognition and Emotion: Perspectives of a Closing Gap
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Metadaten
Titel
3D Object Recognition Based on Some Aspects of the Infant Vision System and Associative Memory
verfasst von
Roberto A. Vázquez
Humberto Sossa
Beatriz A. Garro
Publikationsdatum
01.06.2010
Verlag
Springer-Verlag
Erschienen in
Cognitive Computation / Ausgabe 2/2010
Print ISSN: 1866-9956
Elektronische ISSN: 1866-9964
DOI
https://doi.org/10.1007/s12559-010-9038-3

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