@inproceedings{5dcf054302594180a17df9d57420bf53,
title = "Distinguishing object category properties and property ranges in the IFC standard for visual pattern recognition",
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.",
author = "B. Ilhan and H. Yaman and H. Fathi and I. Brilakis and R. Sacks",
year = "2012",
doi = "10.1201/b12516-89",
language = "English",
isbn = "9780415621281",
series = "eWork and eBusiness in Architecture, Engineering and Construction - Proceedings of the European Conference on Product and Process Modelling 2012, ECPPM 2012",
publisher = "CRC Press",
pages = "557--564",
booktitle = "eWork and eBusiness in Architecture, Engineering and Construction - Proceedings of the European Conference on Product and Process Modelling 2012, ECPPM 2012",
note = "European Conference on Product and Process Modelling, ECPPM 2012 ; Conference date: 25-07-2012 Through 27-07-2012",
}