지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2020.9
- 수록면
- 267 - 276 (10page)
- DOI
- 10.7315/CDE.2020.267
이용수
이 논문의 연구 히스토리 (2)
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초록· 키워드
오류제보하기
In this paper, we propose a method for storing large point cloud data in an external memory, retrieving it level by level, and visualizing it. The point cloud data is stored in an external memory in the form of an octree folder structure, and level-of-detail (LOD) is classified according to the depth of the tree. Then, when loading the stored point cloud data, the octree nodes to be loaded are selected based on the LOD and camera parameters, and the points in the nodes are imported and visualized using the rendering thread and the loading thread. In addition, a method for editing point cloud in an external memory is proposed. When editing point cloud data, instead of editing all points, the editing functions are applied only to the point cloud in the internal memory. Then, the editing history is stored, and when the editing works are completed, the editing functions are applied to the point cloud in the external memory. Finally, the proposed method was verified by implementing a computer program and experimenting with it.
목차
ABSTRACT
1. 서론
2. 관련 연구
3. 시스템 구조
4. 점군 데이터 가시화 및 편집
5. 구현 및 실험 결과
6. 결론
References
참고문헌 (22)
참고문헌 신청
Kawashima, K., Kanai, S. and Date, H., 2014, As-Built Modeling of Piping System from Terrestrial Laser-Scanned Point Clouds Using Normal- Based Region Growing, Journal of Computational Design and Engineering, 1(1), pp.13-26.
Patil, A.K., Holi, P., Lee, S.K. and Chai, Y.H., 2017, An Adaptive Approach for the Reconstruction and Modeling of As-Built 3D Pipelines from Point Clouds, Automation in Construction, 75, pp.65-78.
Xiong, X., Adan, A., Akinci, B. and Huber, D., 2013, Automatic Creation of Semantically Rich 3D Building Models from Laser Scanner Data, Automation in Construction, 31, pp.325-337.
Nahangi, M. and Haas, C.T., 2014, Automated 3D Compliance Checking in Pipe Spool Fabrication, Advanced Engineering Informatics, 28(4), pp.360-369.
Bosche, F. and Guenet, E., 2014, Automating Surface Flatness Control Using Terrestrial Laser Scanning and Building Information Models, Automation in Construction, 31, pp.212-226.
Patil, A.K., Holi, P., Lee, S.K. and Chai, Y.H., 2017, An Adaptive Approach for the Reconstruction and Modeling of As-Built 3D Pipelines from Point Clouds, Automation in Construction, 75, pp.65-78.
Xiong, X., Adan, A., Akinci, B. and Huber, D., 2013, Automatic Creation of Semantically Rich 3D Building Models from Laser Scanner Data, Automation in Construction, 31, pp.325-337.
Nahangi, M. and Haas, C.T., 2014, Automated 3D Compliance Checking in Pipe Spool Fabrication, Advanced Engineering Informatics, 28(4), pp.360-369.
Bosche, F. and Guenet, E., 2014, Automating Surface Flatness Control Using Terrestrial Laser Scanning and Building Information Models, Automation in Construction, 31, pp.212-226.
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