Unsupervised Recognition of Volumetric Structural Components from Building Point Clouds-Reference-Cited by-同舟云学术

Unsupervised Recognition of Volumetric Structural Components from Building Point Clouds

Published:2017-06-13 Issue: Volume: Page:
ISSN:
Container-title:Computing in Civil Engineering 2017
language:
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Author:

Chen Jingdao¹²³,Fang Yihai¹²³,Cho Yong K.¹²³

Affiliation:

1. Ph.D. Student, Institute for Robotics and Intelligent Machines, Georgia Institute of Technology, 777 Atlanta Dr. N.W., Atlanta, GA 30332-0355.

2. Postdoctoral Associate, Rinker School of Construction Management, Univ. of Florida, Gainesville, FL 32611.

3. Associate Professor, School of Civil and Environmental Engineering, Georgia Institute of Technology, 790 Atlanta Dr. N.W., Atlanta, GA 30332-0355.

Publisher

American Society of Civil Engineers

Link

http://ascelibrary.org/doi/pdf/10.1061/9780784480823.005

Reference17 articles.

1. Detection of Walls, Floors, and Ceilings in Point Cloud Data;Anagnostopoulos I.;PROCEEDINGS Construction Research Congress,2016

2. Deviation analysis method for the assessment of the quality of the as-is Building Information Models generated from point cloud data

3. Automated recognition of 3D CAD model objects in laser scans and calculation of as-built dimensions for dimensional compliance control in construction

4. Automated Recognition of 3D CAD Objects in Site Laser Scans for Project 3D Status Visualization and Performance Control

5. Principal Axes Descriptor for Automated Construction-Equipment Classification from Point Clouds;Chen J.;Journal of Computing in Civil Engineering,2016

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