Semantic-Rich 3D CAD models for built environments from point clouds: An end-to-end procedure

Yeritza Perez-Perez, Mani Golparvar-Fard, Khaled El-Rayes

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The last few years has been subject to an unprecedented growth in the application of 3D data for representing built environment and performing engineering analyses such as site planning, and condition assessment. Despite the growing demand, generating semantic rich 3D CAD models, particularly when building and structural systems are exposed remains a labor-intensive and time-consuming process. To address these limitations, this paper presents an end-to-end procedure to produce semantic rich 3D CAD models from point cloud data at a user defined level of abstraction. The procedure starts by segmenting a point cloud while considering local context using a multi-scale region growing algorithm. A Markov-Random-Field optimization labels segments based on their semantic categories. This step reduces the over-segmentation produced during the segmentation stage by compositing similarly labeled segments into super segments. The interconnectivity among these super-segments are reasoned and b-splines and solid geometrical representations are fit to produce 3D NURBS surfaces and cylindrical elements, respectively. Experimental results on real-world point clouds show an average fit error of 6.33 E-01 mm making the method the first to include beams and columns in an automated Scan2BIM process.

Original languageEnglish (US)
Title of host publicationComputing in Civil Engineering 2017
Subtitle of host publicationInformation Modeling and Data Analytics - Selected Papers from the ASCE International Workshop on Computing in Civil Engineering 2017
EditorsKen-Yu Lin, Ken-Yu Lin, Nora El-Gohary, Nora El-Gohary, Pingbo Tang, Pingbo Tang
PublisherAmerican Society of Civil Engineers
Pages166-174
Number of pages9
ISBN (Electronic)9780784480823, 9780784480847
ISBN (Print)9780784480823
DOIs
StatePublished - 2017
Event2017 ASCE International Workshop on Computing in Civil Engineering, IWCCE 2017 - Seattle, United States
Duration: Jun 25 2017Jun 27 2017

Publication series

NameCongress on Computing in Civil Engineering, Proceedings

Other

Other2017 ASCE International Workshop on Computing in Civil Engineering, IWCCE 2017
Country/TerritoryUnited States
CitySeattle
Period6/25/176/27/17

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Computer Science Applications

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