Lighting Design in Interreflective Environments Using Hopfield Neural Networks
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概要
- 論文の詳細を見る
This paper proposes a method for calculating luminous intensity distributions of multiple light sources taking into account both direct and interreflected light when a desired luminance distribution in a space is given. This inverse lighting problem is useful for designing rooms and tunnels. In our approach, a luminance distribution is specified instead of an illuminance distribution, because it is closely connected to the appearance of rooms and is used for lighting design in a tunnel. To calculate the intensity distributions of light sources quickly and robustly, the property of Hopfield neural networks that their energy converges to a minimum is exploited. The proposed method should greatly facilitate lighting design when used with rendering techniques such as the radiosity method. Several examples including lighting design in a tunnel are shown to demonstrate the usefulness of the proposed method.
- 社団法人照明学会の論文
著者
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Yamanaka Takeshi
Faculty of Pharmaceutical Sciences, Osaka University
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Yamanaka Takeshi
Faculty Of Pharmaceutical Sciences Osaka University
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KANEDA KAZUFUMI
Faculty of Engineering Hiroshima University
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NAKAMAE EIHACHIRO
Department of Management and Information Hiroshima Prefectural University
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Yamanaka Toshio
The Graduate School Of Advanced Sciences Of Matter Hiroshima University:texas Instruments Japan Limi
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Nishita Tomoyuki
Faculty Of Engineering Fukuyama University
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Yamashita Hiroki
Department Of Electrical Engineering Graduate School Of Advanced Sciences Of Matter Hiroshima Univer
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Nishita T
Faculty Of Engineering Fukuyama University
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TAKAHASHI Kentaro
Faculty of Engineering Hiroshima University
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YAMASHITA Hideo
Faculty of Engineering Hiroshima University
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Yamanaka T
Hiroshima Univ. Higashi‐hiroshima Jpn
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Yamashita H
Hiroshima Univ Higashihiroshima
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Nakamae E
Hiroshima Prefectural Univ. Shobara‐shi Jpn
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YAMANAKA Takeshi
Faculty of Engineering Hiroshima University
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