Distinguishing object category properties and property ranges in the IFC standard for visual pattern recognition

B. Ilhan*, H. Yaman, H. Fathi, I. Brilakis, R. Sacks

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Despite the benefits of as-built building information models for facilities, the generation of these models is laborious due to time-consuming and error-prone process required to compare with as-designed condition manually. Therefore, an automated solution is significantly important for the improvement of the current practice. This study presents a guideline for recognition researchers to address this limitation. The proposed method includes the investigation of common building elements in the IFC data model standard automatically, determination of property ranges of each element experimentally and the acquisition of the properties currently measured by vision data. The obtained data is then used to build a decision tree as a case study. The distinctive properties and their value ranges for common building elements are found out in the conclusion.

Original languageEnglish
Title of host publicationeWork and eBusiness in Architecture, Engineering and Construction - Proceedings of the European Conference on Product and Process Modelling 2012, ECPPM 2012
PublisherCRC Press
Pages557-564
Number of pages8
ISBN (Print)9780415621281
DOIs
Publication statusPublished - 2012
EventEuropean Conference on Product and Process Modelling, ECPPM 2012 - Reykjavik, Iceland
Duration: 25 Jul 201227 Jul 2012

Publication series

NameeWork and eBusiness in Architecture, Engineering and Construction - Proceedings of the European Conference on Product and Process Modelling 2012, ECPPM 2012

Conference

ConferenceEuropean Conference on Product and Process Modelling, ECPPM 2012
Country/TerritoryIceland
CityReykjavik
Period25/07/1227/07/12

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