A CATEGORICAL COLOR PERCEPTION MODEL USING STRUCTURED NEURAL NERWORK(International Workshop on Advanced Image Technology 2006)
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概要
- 論文の詳細を見る
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.
- 社団法人電子情報通信学会の論文
- 2006-01-03
著者
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Nagao Tomoharu
Yokohama National Univ. Kanagawa Jpn
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Nagao Tomoharu
Imaging Science And Engineering Laboratory Tokyo Institute Of Technology
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Uchikawa K
Tokyo Inst. Of Technol. Yokohama Jpn
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Uchikawa Keiji
Interdisciplinary Graduate School Of Science And Engineering Tokyo Institute Of Technology
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Uchikawa Keiji
Tokyo Institute Of Technology Imaging Science And Engineering Laboratory
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Nagao T
Graduate School Of Environment And Information Sciences Yokohama National University
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Yata Noriko
Graduate School of Environment and Information Sciences Yokohama National University
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Yata Noriko
Yokohama National Univ.
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