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

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

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.

References

  1. VRML Virtual Reality Modeling Language. (1995, 04 17). Retrieved from W3C: http://www.w3.org/ MarkUp/VRML/
  2. Campbell, R. J., & Flynn, P. J. (2001). A survey of freeform object representation and recognition techniques. Computer Vision and Image Understanding, 81, pp. 166-210.
  3. Carroll, J. J., Dickinson, I., Dollin, C., Reynolds, D., Seaborne, A., & Wilkinson, K. (2004). Jena: implementing the semantic web recommendations. Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters, (pp. 74-83).
  4. Cruz, C., Marzani, F., & Boochs, F. (2007). Ontologydriven 3D reconstruction of architectural objects. VISAPP (Special Sessions), pp. 47-54.
  5. Gruber, T. (2005). What is an Ontology. Retrieved from www-ksl.stanford.edu/kst/what-is-an-ontology.html.
  6. Horrocks, I., Patel-Schneider, P. F., Boley, H., Tabet, S., Grosof, B., & Dean, M. (2004). SWRL: A semantic web rule language combining OWL and RuleML. W3C Member submission, 21.
  7. Leica Cyclone: 3D Point Cloud Processing Software. (n.d.). Retrieved 05 09, 2011, from Leica: http://hds.leica-geosystems.com/en/LeicaCyclone_6515.htm
  8. McGuinness, D. L., & Harmelen, F. v. (2004, February 10). OWL Web Ontologgy Language: Overview. Retrieved December 2, 2009, from W3C Recommendation: http://www.w3.org/TR/owlfeatures/
  9. Nuchter, A. a. (2008). Towards semantic maps for mobile robots. Robotics and Autonomous Systems, pp. 915- 926.
  10. Osche, F. a. (2008). Automated retrieval of 3D CAD model objects in construction range images. Automation in Construction, pp. 499-512.
  11. Pu, S. a. (2009). Knowledge based reconstruction of building models from terrestrial laser scanning data. ISPRS Journal of Photogrammetry and Remote Sensing, pp. 575-584.
  12. Vanlande, R., N. (2008). IFC and building lifecycle management. Automation in Construction, 18, pp. 70- 78.
  13. Rusu, R. a. (2008). Towards 3D Point cloud based object maps for household environments. Robotics and Autonomous Systems, pp. 927-941.
  14. Sirin, E., Parsia, B., Grau, B. C., Kalyanpur, A., & Katz, Y. (2007). Pellet: A practical owl-dl reasoner. Web Semantics: science, services and agents on the World Wide Web, 5, 51-53.
  15. Tsarkov, D., & Horrocks, I. (2006). FaCT++ description logic reasoner: System description. Automated Reasoning, pp. 292-297.
  16. Hustadt U., B. M. (2010). Retrieved from KAON2: http://kaon2.semanticweb.org/
  17. Yue, K. A. (2006). The ASDMCon project: The challenge of detecting defects on construction sites., (p. IEEE Computer Society).
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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