Hybrid approach for alignment of a pre-processed three-dimensional point cloud, video, and CAD model using partial point cloud in retrofitting applications
- Authors
- Patil, Ashok Kumar; Kumar, G. Ajay; Kim, Tae-Hyoung; Chai, Young Ho
- Issue Date
- Mar-2018
- Publisher
- SAGE PUBLICATIONS INC
- Keywords
- Laser scanner; point cloud alignment; retrofitting; building information modeling; virtual reality; LiDAR; registration
- Citation
- INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, v.14, no.3
- Journal Title
- INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS
- Volume
- 14
- Number
- 3
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/1061
- DOI
- 10.1177/1550147718766452
- ISSN
- 1550-1477
1550-1477
- 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.
- Files in This Item
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- Appears in
Collections - Graduate School of Advanced Imaging Sciences, Multimedia and Film > Department of Imaging Science and Arts > 1. Journal Articles
- College of Engineering > School of Mechanical Engineering > 1. Journal Articles
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