Reference TypeConference Proceedings
Citation KeyTakahashiKaneYama:1995:InAt3D
Author1 Takahashi, Kentaro
2 Kaneda, Kazufumi
3 Yamashita, Hideo
Affiliation1 Faculty of Engineering of Hiroshima University
2 Faculty of Engineering of Hiroshima University
3 Faculty of Engineering of Hiroshima University
TitleRadiosity and Hopfield neural networks applied to inverse lighting design: initial attempts in 3D
Conference NameSimpósio Brasileiro de Computação Gráfica e Processamento de Imagens, 8 (SIBGRAPI)
EditorLotufo, Roberto de Alencar
Mascarenhas, Nelson Delfino d'Ávila
Book TitleAnais
Date25 - 27 out. 1995
Publisher CityPorto Alegre
PublisherSociedade Brasileira de Computação
Conference LocationSão Carlos
Keywordsradiosity, Hopfield neural networks, Reverse lighting design, lighting 3D environments.
AbstractThis technical communication describes the employment of a new method that gathers radiosity and the Hopfield Neural Network applied to the task of designing the lighting of a closed space and considering interreflection of light. The proposed method finds the best luminous intensity, according to a showcase of realizable luminous intensities that are passive of being produced by the industry or be available in the market. Partial results of the algorithms applied to the lighting of 3D environments are presented.
TypeGeral (Comunicações)
Tertiary TypeComunicação Técnica
FormatImpresso, On-line.
Size1511 KiB
Number of Files1
Target File54 Radiosity and hopfield neural.pdf
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Metadata Last Update2013: {D 1995}
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Access Date2020, Nov. 23