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The potential of computationally ren...
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Totir, Claudia Dana.
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The potential of computationally rendered images for the evaluation of lighting quality in interior spaces.
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
The potential of computationally rendered images for the evaluation of lighting quality in interior spaces./
作者:
Totir, Claudia Dana.
面頁冊數:
95 p.
附註:
Adviser: Fred Malven.
Contained By:
Masters Abstracts International46-01.
標題:
Architecture. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1446071
ISBN:
9780549142362
The potential of computationally rendered images for the evaluation of lighting quality in interior spaces.
Totir, Claudia Dana.
The potential of computationally rendered images for the evaluation of lighting quality in interior spaces.
- 95 p.
Adviser: Fred Malven.
Thesis (M.F.A.)--Iowa State University, 2007.
Lighting designers have the ability to show, and help everyone visualize the outcome of the lighting design by using tools such as calculations, mock-ups, and renderings. In recent years, the use of digital renderings instead of mock-up installations has become increasingly popular.
ISBN: 9780549142362Subjects--Topical Terms:
523581
Architecture.
The potential of computationally rendered images for the evaluation of lighting quality in interior spaces.
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Lighting designers have the ability to show, and help everyone visualize the outcome of the lighting design by using tools such as calculations, mock-ups, and renderings. In recent years, the use of digital renderings instead of mock-up installations has become increasingly popular.
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Even though the rendering methods that exist today offer the possibility to accurately simulate a scene, this does not guarantee that the images will be interpreted and perceived correctly. Increased applications of computer graphics which demand high levels of realism has made it necessary to examine the manner in which these images are evaluated and validated.
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The objective of our research is to determine if classic lighting studies can be explored in a contemporary setting by using computationally rendered images, and to identify to what extent the subjective evaluation of the lighting conditions of an interior space can be reproduced using these images.
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