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 Japanese) | (See Japanese page) |
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 |
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Conference Date | 2006/1/3(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Registration To | Image Engineering (IE) |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
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 |
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