Presentation 1999/1/21
Visual Information Processing by Neural Networks
Kunihiko Fukushima,
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Abstract(in English) To capture and process visual information flexibly and efficiently from changing external world, the function of active information processing and self-organization is indispensable. When looking at an object, for example, the brain does not passively accept all information within the visual field. It moves eyes and focuses attention to the places that attract its interest, and actively gathers only necessary information. The self-organization of the neural network is another important function for flexible information processing. The brain modifies its own structure to adapt the environment. This paper introduces neural network models for these mechanisms from the works by the author's research group.
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Keyword(in English) Neural network model / Visual system / Active vision / Selective attention / Self-organization / Pattern recognition
Paper # NC98-71
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Conference Information
Committee NC
Conference Date 1999/1/21(1days)
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Paper Information
Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Visual Information Processing by Neural Networks
Sub Title (in English)
Keyword(1) Neural network model
Keyword(2) Visual system
Keyword(3) Active vision
Keyword(4) Selective attention
Keyword(5) Self-organization
Keyword(6) Pattern recognition
1st Author's Name Kunihiko Fukushima
1st Author's Affiliation Graduate School of Engineering Science, Osaka University()
Date 1999/1/21
Paper # NC98-71
Volume (vol) vol.98
Number (no) 526
Page pp.pp.-
#Pages 8
Date of Issue