Presentation 2006/3/8
Visual Information Processing with Neural Networks
Kunihiko FUKUSHIMA,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Modeling neural networks is a powerful approach to uncover the mechanism of the brain, and its results are ready to use for engineering applications. This paper introduces several models for vision from our recent works: (1) Extraction of optic flow, (2) Use of blur for robust image processing, and (3) Recognition and restoration of partly occluded patterns.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) vision / neural network model / optic flow / use of blur / symmetry axis / occluded pattern / recognition / restoration
Paper # MBE2005-138,NC2005-124
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Conference Information
Committee MBE
Conference Date 2006/3/8(1days)
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Paper Information
Registration To ME and Bio Cybernetics (MBE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Visual Information Processing with Neural Networks
Sub Title (in English)
Keyword(1) vision
Keyword(2) neural network model
Keyword(3) optic flow
Keyword(4) use of blur
Keyword(5) symmetry axis
Keyword(6) occluded pattern
Keyword(7) recognition
Keyword(8) restoration
1st Author's Name Kunihiko FUKUSHIMA
1st Author's Affiliation School of Media Science, Tokyo University of Technology()
Date 2006/3/8
Paper # MBE2005-138,NC2005-124
Volume (vol) vol.105
Number (no) 655
Page pp.pp.-
#Pages 6
Date of Issue