Recognition of complex engineering objects from large-scale point clouds

Gábor Erdos, Takahiro Nakano, Gergely Horváth, Youichi Nonaka, József Váncza

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

This work was aimed at reconstructing the structural model of as-built industrial facilities like plants purely from on-site point cloud measurement data. Focus was set on finding the internal structure of complex objects hidden behind the massive point cloud by exploiting connectivity information in the data and the linear characteristics of the typical components. A workflow is presented with emphasis on data filtering, connectivity graph construction, as well as the recognition of elementary objects and their relations. Results are demonstrated using data of an industrial case study.

Original languageEnglish
Pages (from-to)165-168
Number of pages4
JournalCIRP Annals - Manufacturing Technology
Volume64
Issue number1
DOIs
Publication statusPublished - Jan 1 2015

Keywords

  • Computer aided design (CAD)
  • Object recognition
  • Point cloud

ASJC Scopus subject areas

  • Mechanical Engineering
  • Industrial and Manufacturing Engineering

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