2026-09-19T15:58:22Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/355032022-01-13T07:54:12Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Takehiko Nagakura.
Gün, Onur Yüce
Massachusetts Institute of Technology. Dept. of Architecture.
Massachusetts Institute of Technology. Department of Architecture
2007-01-10T16:26:16Z
2007-01-10T16:26:16Z
2006
2006
http://hdl.handle.net/1721.1/35503
71802801
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Architecture, 2006.
Includes bibliographical references (leaves 105-106).
Existence of light reveals the architectural space. And images depict them. This thesis proposes a computational model for evaluating tonal and compositional qualities of photorealistically rendered synthetic images. Its aim is to assist the architects to quickly externalize their spatial imagination through automated evaluation and selection of volume rendered images in search of the ones they like to achieve. Taking the visual perception as the focal communication tool in design, the research promotes the use of computer generated realistic images to the very beginning of the design process. The implemented tool, Narration of Light is a plug-in that runs on the 3D Studio Max 7 environment, where realistic images can be rendered without any evaluation for the generated images. The tool aims to create a more self-conscious rendering environment that would computationally recognize the qualities of image by reading it via bitmap values.
(cont.) The plug-in, while trying to determine the user's intention regarding the tonal distribution of light via any kind of user selected images, it also embeds algorithms of established photographical composition techniques to evaluate and classify the generated images. In the awareness of the strong relationship between space, light and images, this research intends to offer an alternative image-driven design process as well as going into the experimentation of evaluating the quality of images with computational means.
by Onur Yüce Gün.
S.M.
107, [1] leaves
33398811 bytes
33398372 bytes
application/pdf
application/pdf
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
http://dspace.mit.edu/handle/1721.1/7582
Architecture.
Narration of light : computational tools for framing the tonal imagination
Thesis
application/pdf
false
Publication
unknown
unknown
<Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="d8d5c1d0-e507-46c7-9538-7795b9b73727">
<Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type>
<Language>eng</Language>
<Title>Narration of light : computational tools for framing the tonal imagination</Title>
<PublishedIn>
<Publication>
</Publication>
</PublishedIn>
<PublicationDate>2006</PublicationDate>
<Authors>
<Author>
<DisplayName>Gün, Onur Yüce</DisplayName>
<Affiliation>
<OrgUnit>
</OrgUnit>
</Affiliation>
</Author>
</Authors>
<Editors>
</Editors>
<Publishers>
<Publisher>
<DisplayName>Massachusetts Institute of Technology</DisplayName>
<OrgUnit />
</Publisher>
</Publishers>
<License>http://dspace.mit.edu/handle/1721.1/7582</License>
<Keyword>Architecture.</Keyword>
<Abstract>Existence of light reveals the architectural space. And images depict them. This thesis proposes a computational model for evaluating tonal and compositional qualities of photorealistically rendered synthetic images. Its aim is to assist the architects to quickly externalize their spatial imagination through automated evaluation and selection of volume rendered images in search of the ones they like to achieve. Taking the visual perception as the focal communication tool in design, the research promotes the use of computer generated realistic images to the very beginning of the design process. The implemented tool, Narration of Light is a plug-in that runs on the 3D Studio Max 7 environment, where realistic images can be rendered without any evaluation for the generated images. The tool aims to create a more self-conscious rendering environment that would computationally recognize the qualities of image by reading it via bitmap values.</Abstract>
<Abstract>(cont.) The plug-in, while trying to determine the user's intention regarding the tonal distribution of light via any kind of user selected images, it also embeds algorithms of established photographical composition techniques to evaluate and classify the generated images. In the awareness of the strong relationship between space, light and images, this research intends to offer an alternative image-driven design process as well as going into the experimentation of evaluating the quality of images with computational means.</Abstract>
<Access xmlns="http://purl.org/coar/access_right"
>
</Access>
</Publication>