Presentation 2009-10-22
Human Color Vision Mechanism and its Age-Related Change : Network Model and Simulation System
Katsunori OKAJIMA,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) The present study introduces a model for categorical color recognition, based on experimental data and the hierarchy of the human color vision system. The model has three stages which correspond to the photoreceptor, the opponent color mechanism and the categorical color mechanism levels. The simple network model with some AND-gates and two extractors of maximum response can precisely predict the categorical color recognition by operating on the opponent color responses regardless of the color appearance mode. In addition, we formulated age-related changes of vision and color vision deficiency, and introduce a real-time color vision simulator with parallel dynamic image processing which enables us to simulate elderly vision and dichromat vision.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Color naming / Categorical color recognition / Color vision / Age-related change / Color dichromat
Paper # PRMU2009-78
Date of Issue

Conference Information
Committee PRMU
Conference Date 2009/10/15(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Human Color Vision Mechanism and its Age-Related Change : Network Model and Simulation System
Sub Title (in English)
Keyword(1) Color naming
Keyword(2) Categorical color recognition
Keyword(3) Color vision
Keyword(4) Age-related change
Keyword(5) Color dichromat
1st Author's Name Katsunori OKAJIMA
1st Author's Affiliation Faculty of Environment and Information Sciences, Yokohama National University()
Date 2009-10-22
Paper # PRMU2009-78
Volume (vol) vol.109
Number (no) 249
Page pp.pp.-
#Pages 6
Date of Issue