Automatic 3d modeling of structural and mechanical components from point clouds

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

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

Abstract

3D modeling of structural and mechanical components from point clouds is a time-consuming and error prone task. It usually involves experts to analyze a captured point cloud, segment and label it into meaningful components (e.g., pipe, ceiling, beam, column, floor, wall), and then fit solid geometry to these components. Despite a large body of research on Scan2BIM over the past few years, there is still a gap in knowledge on how automatically segmented point clouds can be labeled and merged into 3D surface representations. To address this gap, this paper presents a method that takes in a segmented and semantically labeled point cloud, with mechanical components, at a desired level of abstraction and fits in solid geometrical elements. The input model was automatically labeled using a recent method of jointly labeling point clouds based on their underlying semantic and geometrical representations. To fit solid geometric components, the method uses a multi-scale features extraction method to identify the segment cross-sections and centerlines. The centerlines are used to infer the connection types (e.g., elbow, coupling, union, or diverter tee) among all segments. The method then uses the center lines and the cross-section radius to fit non-uniform rational basis splines (NURBS) over the point cloud segments and then fits in cylindrical elements into the produced NURBS surfaces. The method is validated using six real-world point clouds and the experimental results are discussed in detail.

Original languageEnglish (US)
Title of host publicationConstruction Research Congress 2018
Subtitle of host publicationConstruction Information Technology - Selected Papers from the Construction Research Congress 2018
EditorsChao Wang, Charles Berryman, Rebecca Harris, Christofer Harper, Yongcheol Lee
PublisherAmerican Society of Civil Engineers
Pages501-511
Number of pages11
ISBN (Electronic)9780784481264
DOIs
StatePublished - Jan 1 2018
EventConstruction Research Congress 2018: Construction Information Technology, CRC 2018 - New Orleans, United States
Duration: Apr 2 2018Apr 4 2018

Publication series

NameConstruction Research Congress 2018: Construction Information Technology - Selected Papers from the Construction Research Congress 2018
Volume2018-April

Other

OtherConstruction Research Congress 2018: Construction Information Technology, CRC 2018
Country/TerritoryUnited States
CityNew Orleans
Period4/2/184/4/18

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Building and Construction

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