Hybrid approach for alignment of a pre-processed three-dimensional point cloud, video, and CAD model using partial point cloud in retrofitting applications
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Patil, Ashok Kumar | - |
dc.contributor.author | Kumar, G. Ajay | - |
dc.contributor.author | Kim, Tae-Hyoung | - |
dc.contributor.author | Chai, Young Ho | - |
dc.date.available | 2019-01-22T14:03:51Z | - |
dc.date.issued | 2018-03 | - |
dc.identifier.issn | 1550-1477 | - |
dc.identifier.issn | 1550-1477 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/1061 | - |
dc.description.abstract | Acquiring the three-dimensional point cloud data of a scene using a laser scanner and the alignment of the point cloud data within a real-time video environment view of a camera is a very new concept and is an efficient method for constructing, monitoring, and retrofitting complex engineering models in heavy industrial plants. This article presents a novel prototype framework for virtual retrofitting applications. The workflow includes an efficient 4-in-1 alignment, beginning with the coordination of pre-processed three-dimensional point cloud data using a partial point cloud from LiDAR and alignment of the pre-processed point cloud within the video scene using a frame-by-frame registering method. Finally, the proposed approach can be utilized in pre-retrofitting applications by pre-generated three-dimensional computer-aided design models virtually retrofitted with the help of a synchronized point cloud, and a video scene is efficiently visualized using a wearable virtual reality device. The prototype method is demonstrated in a real-world setting, using the partial point cloud from LiDAR, pre-processed point cloud data, and video from a two-dimensional camera. | - |
dc.publisher | SAGE PUBLICATIONS INC | - |
dc.title | Hybrid approach for alignment of a pre-processed three-dimensional point cloud, video, and CAD model using partial point cloud in retrofitting applications | - |
dc.type | Article | - |
dc.identifier.doi | 10.1177/1550147718766452 | - |
dc.identifier.bibliographicCitation | INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, v.14, no.3 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.wosid | 000428232800001 | - |
dc.identifier.scopusid | 2-s2.0-85044714305 | - |
dc.citation.number | 3 | - |
dc.citation.title | INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS | - |
dc.citation.volume | 14 | - |
dc.type.docType | Article | - |
dc.publisher.location | 미국 | - |
dc.subject.keywordAuthor | Laser scanner | - |
dc.subject.keywordAuthor | point cloud alignment | - |
dc.subject.keywordAuthor | retrofitting | - |
dc.subject.keywordAuthor | building information modeling | - |
dc.subject.keywordAuthor | virtual reality | - |
dc.subject.keywordAuthor | LiDAR | - |
dc.subject.keywordAuthor | registration | - |
dc.subject.keywordPlus | OBJECT MAPS | - |
dc.subject.keywordPlus | ENVIRONMENTS | - |
dc.subject.keywordPlus | REGISTRATION | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Telecommunications | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.relation.journalWebOfScienceCategory | Telecommunications | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
84, Heukseok-ro, Dongjak-gu, Seoul, Republic of Korea (06974)02-820-6194
COPYRIGHT 2019 Chung-Ang 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.