Detection of Walls, Floors, and Ceilings in Point Cloud Data-Reference-Cited by-同舟云学术

Detection of Walls, Floors, and Ceilings in Point Cloud Data

Published:2016-05-24 Issue: Volume: Page:
ISSN:
Container-title:Construction Research Congress 2016
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Author:

Anagnostopoulos Ioannis¹²³⁴,Pătrăucean Viorica¹²³⁴,Brilakis Ioannis¹²³⁴,Vela Patricio¹²³⁴

Affiliation:

1. Ph.D. Student, Construction Information Technology Lab, Laing O’Rourke Center, Division D, Dept. of Engineering, Univ. of Cambridge, Trumpington St., Cambridge CB2 1PZ, U.K.

2. Research Associate, Centre for Smart Infrastructure and Construction, Dept. of Engineering, Univ. of Cambridge, Trumpington St., Cambridge CB2 1PZ, U.K.

3. Laing O’Rourke Lecturer, Construction Information Technology Lab, Laing O’Rourke Center, Division D, Dept. of Engineering, Univ. of Cambridge, Trumpington St., Cambridge CB2 1PZ, U.K.

4. Associate Professor, School of Electrical and Computer Engineering, Georgia Institute of Technology, TSRB 441/Van Leer 368, Mail Code 0250, Atlanta, GA 30332.

Publisher

American Society of Civil Engineers

Link

http://ascelibrary.org/doi/pdf/10.1061/9780784479827.229

Reference16 articles.

1. Adan A.; Huber D. (2010). Reconstruction of Wall Surfaces Under Occlusion and Clutter in 3D Indoor Environments. Technical Report CMU-RI-TR-10-12. Robotics Institute: Pittsburgh PA USA.

2. Grammar-supported 3d indoor reconstruction from point clouds for "as-built;Becker S.;BIM. In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences,2015

3. Coughlan J.M. Yuille A.L. (1999). Manhattan world: Compass direction from a single image by bayesian inference. In IEEE ICCV pp. 941-947.

4. Semi-automated approach to indoor mapping for 3D as-built building information modeling

5. Productive modeling for development of as-built BIM of existing indoor structures

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