Presentation | 2004/1/6 A Categorical Perception Model in consideration for Color Constancy (Medical Imaging and Computer Vision)(International Workshop On Advanced Image Technology (IWAIT2004)) Noriko Yata, Tomoharu Nagao, Keiji Uchikawa, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | The purpose of this study is to get a modeling system that can operate similarly to human beings' categorical color perception. Color of object is not determined only by reflection spectrum from the surface of the object alone. It is greatly affected by ambient environmental condition and depends upon color constancy. However, mechanism of color constancy is unexplained. Therefore, it is difficult to acquire cognizance of categorical color name of objects under different illuminations. For this end, the relationship between the chromaticity of color chips under different illuminations and the color chips' categorical color perception under the illumination that is the product of a categorical color naming experiment was learned by a neural network in this paper. Experimental results show that the obtained neural network has the similar characteristics to those of human beings vision system. |
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Paper # | IE2003-163 |
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Committee | IE |
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Conference Date | 2004/1/6(1days) |
Place (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 Perception Model in consideration for Color Constancy (Medical Imaging and Computer Vision)(International Workshop On Advanced Image Technology (IWAIT2004)) |
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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 | 2004/1/6 |
Paper # | IE2003-163 |
Volume (vol) | vol.103 |
Number (no) | 540 |
Page | pp.pp.- |
#Pages | 5 |
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