University of Illinois Urbana-Champaign

Point cloud alignment and simplificaton using building information models (BIMs)

Wang, Shengze

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https://hdl.handle.net/2142/97892

Description

Title
Point cloud alignment and simplificaton using building information models (BIMs)
Author(s)
Wang, Shengze
Contributor(s)
Hoiem, Derek
Issue Date
2017-05
Keyword(s)
  • mesh simplification
  • building information model (BIM)
  • Quadric edge collapse decimation (QECD)
  • 3D alignment
  • interactive closest point
Abstract
This research focuses on two topics. The first topic is the simplification of point clouds. The simplification algorithm developed for this project is based on Quadric Edge Collapse Decimation (QECD). It uses Building Information Models (BIMs) as semantic priors to help simplify point clouds and can achieve better planar simplification and detail preservation than traditional algorithms. The second topic is the alignment of point clouds to BIMs. The tool developed is a semi-supervised tool, which allows users to select point matches between corresponding point clouds and BIMs, and it aligns point clouds to BIMs accurately within minimal time.
Type of Resource
text
Language
en
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http://hdl.handle.net/2142/97892

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