DC Field | Value | Language |
---|---|---|
dc.contributor.author | Narangerel, Amartuvshin | ko |
dc.contributor.author | Hong, Suk-joo | ko |
dc.contributor.author | Lee, Chae-Seok | ko |
dc.contributor.author | Lee, Ji-Hyun | ko |
dc.date.accessioned | 2018-07-24T02:29:47Z | - |
dc.date.available | 2018-07-24T02:29:47Z | - |
dc.date.created | 2018-06-07 | - |
dc.date.created | 2018-06-07 | - |
dc.date.issued | 2018-05-18 | - |
dc.identifier.citation | Learning, Ptorotyping and Adapting, pp.587 - 596 | - |
dc.identifier.uri | http://hdl.handle.net/10203/244150 | - |
dc.description.abstract | In order to provide intelligent services in complex and diverse indoor environments, it is necessary to understand spatial features of indoor objects: furniture and items. Function-Behavior-Structure Map (FBSMAP), which is a novel indoor representation method that focuses on space functionality for intelligent semantic services, is introduced in this study. The three steps of FBSMAP are defining spatial components, constructing semantic map for indoor environment, and securing spatial features. This novel implementation method is implemented and examined on 3D house models. | - |
dc.language | English | - |
dc.publisher | CAADRIA | - |
dc.title | FBSMAP: The Spatial Representation Method for Intelligent Semantic Service in Indoor Environment | - |
dc.type | Conference | - |
dc.identifier.scopusid | 2-s2.0-85056129844 | - |
dc.type.rims | CONF | - |
dc.citation.beginningpage | 587 | - |
dc.citation.endingpage | 596 | - |
dc.citation.publicationname | Learning, Ptorotyping and Adapting | - |
dc.identifier.conferencecountry | CC | - |
dc.identifier.conferencelocation | Tsinghua University, Beijing | - |
dc.contributor.localauthor | Lee, Ji-Hyun | - |
dc.contributor.nonIdAuthor | Narangerel, Amartuvshin | - |
dc.contributor.nonIdAuthor | Hong, Suk-joo | - |
dc.contributor.nonIdAuthor | Lee, Chae-Seok | - |
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