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Alignment of 3D Point Cloud, CAD Model, Real-time Camera View and Partial Point Cloud for Pipeline Retrofitting Application

Authors
Kumar, G. AjayPatil, Ashok KumarChai, Young Ho
Issue Date
Jan-2018
Publisher
IEEE
Keywords
Laser Scanner; Point Cloud Alignment; Retrofitting; CAD Model; BIM; Virtual Reality; LiDAR
Citation
2018 INTERNATIONAL CONFERENCE ON ELECTRONICS, INFORMATION, AND COMMUNICATION (ICEIC), v.2018-January, pp 410 - 413
Pages
4
Journal Title
2018 INTERNATIONAL CONFERENCE ON ELECTRONICS, INFORMATION, AND COMMUNICATION (ICEIC)
Volume
2018-January
Start Page
410
End Page
413
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/56204
DOI
10.23919/ELINFOCOM.2018.8330627
ISSN
2377-8431
Abstract
Alignment of 3D laser scanner point cloud data within the video of real environment view from the camera is very new and efficient method for construction, monitoring and retrofitting of complex engineering models in heavy industrial plants. Connecting the laser scanner generated point cloud data with physical world helps the users to find, analyze and modify the the specific element of the model corresponding to the physical model. One of the most difficult aspects in alignment process is that models generated from LiDAR sensors must be aligned appropriately with the models in the scene of the video. This paper presents a framework for alignment of LiDAR generated point cloud within the video scene using frame-by-frame registering method. Finally, the significance of proposed alignment method in pipeline retrofitting applications in plant engineering illustrated with inserting CAD models.
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Chai, Young Ho
첨단영상대학원 (영상학과)
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