Presentation 2006/1/3
A CATEGORICAL COLOR PERCEPTION MODEL USING STRUCTURED NEURAL NERWORK(International Workshop on Advanced Image Technology 2006)
Noriko Yata, Tomoharu Nagao, Keiji Uchikawa,
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Abstract(in English) We developed a model that can operate similarly to human categorical color perception. The color of an object is not exclusively determined by the reflection spectrum from the surface of the object but is greatly affected by the ambient environmental conditions and depends upon color constancy. The mechanism of color constancy, however, is not explained in detail so acquiring the cognition of the categorical color name of objects under different illuminations is difficult. To that end, the relationship between the chromaticity and the categorical color perception of colored chips under different illuminations is the product of a categorical color-naming experiment was learned by using a neural network. The results showed that the obtained neural network has similar characteristics to those of human vision system.
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Paper # IE2005-217
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Committee IE
Conference Date 2006/1/3(1days)
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Language ENG
Title (in Japanese) (See Japanese page)
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Title (in English) A CATEGORICAL COLOR PERCEPTION MODEL USING STRUCTURED NEURAL NERWORK(International Workshop on Advanced Image Technology 2006)
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1st Author's Name Noriko Yata
1st Author's Affiliation Yokohama National Univ.()
2nd Author's Name Tomoharu Nagao
2nd Author's Affiliation Yokohama National Univ.
3rd Author's Name Keiji Uchikawa
3rd Author's Affiliation Tokyo Institute of Technology
Date 2006/1/3
Paper # IE2005-217
Volume (vol) vol.105
Number (no) 501
Page pp.pp.-
#Pages 6
Date of Issue