FROM 3D POINT CLOUDS TO SEMANTIC OBJECTS - An Ontology-based Detection Approach

Helmi Ben Hmida, Christophe Cruz, Frank Boochs, Christophe Nicolle

2011

Abstract

This paper presents a knowledge-based detection of objects approach using the OWL ontology language, the Semantic Web Rule Language, and 3D processing built-ins aiming at combining geometrical analysis of 3D point clouds and specialist’s knowledge. This combination allows the detection and the annotation of objects contained in point clouds. The context of the study is the detection of railway objects such as signals, technical cupboards, electric poles, etc. Thus, the resulting enriched and populated ontology, that contains the annotations of objects in the point clouds, is used to feed a GIS systems or an IFC file for architecture purposes.

Paper Citation

in Harvard Style

Ben Hmida H., Cruz C., Boochs F. and Nicolle C. (2011). FROM 3D POINT CLOUDS TO SEMANTIC OBJECTS - An Ontology-based Detection Approach . In Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2011) ISBN 978-989-8425-80-5, pages 255-260. DOI: 10.5220/0003660002550260

in Bibtex Style

@conference{keod11,
author={Helmi Ben Hmida and Christophe Cruz and Frank Boochs and Christophe Nicolle},
title={FROM 3D POINT CLOUDS TO SEMANTIC OBJECTS - An Ontology-based Detection Approach},
booktitle={Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2011)},
year={2011},
pages={255-260},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003660002550260},
isbn={978-989-8425-80-5},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2011)
TI - FROM 3D POINT CLOUDS TO SEMANTIC OBJECTS - An Ontology-based Detection Approach
SN - 978-989-8425-80-5
AU - Ben Hmida H.
AU - Cruz C.
AU - Boochs F.
AU - Nicolle C.
PY - 2011
SP - 255
EP - 260
DO - 10.5220/0003660002550260