Automatic Reconstruction of Multi-Level Indoor Spaces from Point Cloud and Trajectory
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lim, Gahyeon | - |
dc.contributor.author | Doh, Nakju | - |
dc.date.accessioned | 2022-03-02T00:41:40Z | - |
dc.date.available | 2022-03-02T00:41:40Z | - |
dc.date.created | 2021-12-07 | - |
dc.date.issued | 2021-05 | - |
dc.identifier.issn | 1424-8220 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/137432 | - |
dc.description.abstract | Remarkable progress in the development of modeling methods for indoor spaces has been made in recent years with a focus on the reconstruction of complex environments, such as multi-room and multi-level buildings. Existing methods represent indoor structure models as a combination of several sub-spaces, which are constructed by room segmentation or horizontal slicing approach that divide the multi-room or multi-level building environments into several segments. In this study, we propose an automatic reconstruction method of multi-level indoor spaces with unique models, including inter-room and inter-floor connections from point cloud and trajectory. We construct structural points from registered point cloud and extract piece-wise planar segments from the structural points. Then, a three-dimensional space decomposition is conducted and water-tight meshes are generated with energy minimization using graph cut algorithm. The data term of the energy function is expressed as a difference in visibility between each decomposed space and trajectory. The proposed method allows modeling of indoor spaces in complex environments, such as multi-room, room-less, and multi-level buildings. The performance of the proposed approach is evaluated for seven indoor space datasets. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | MDPI | - |
dc.subject | 3D BUILDING MODELS | - |
dc.title | Automatic Reconstruction of Multi-Level Indoor Spaces from Point Cloud and Trajectory | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Doh, Nakju | - |
dc.identifier.doi | 10.3390/s21103493 | - |
dc.identifier.scopusid | 2-s2.0-85105826173 | - |
dc.identifier.wosid | 000662481800001 | - |
dc.identifier.bibliographicCitation | SENSORS, v.21, no.10 | - |
dc.relation.isPartOf | SENSORS | - |
dc.citation.title | SENSORS | - |
dc.citation.volume | 21 | - |
dc.citation.number | 10 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Chemistry | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Instruments & Instrumentation | - |
dc.relation.journalWebOfScienceCategory | Chemistry, Analytical | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalWebOfScienceCategory | Instruments & Instrumentation | - |
dc.subject.keywordPlus | 3D BUILDING MODELS | - |
dc.subject.keywordAuthor | automatic 3D modeling | - |
dc.subject.keywordAuthor | multi-level building reconstruction | - |
dc.subject.keywordAuthor | point cloud processing | - |
dc.subject.keywordAuthor | structured 3D reconstruction | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(02841) 서울특별시 성북구 안암로 14502-3290-1114
COPYRIGHT © 2021 Korea University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.