ONTOLOGY-DRIVEN 3D RECONSTRUCTION OF ARCHITECTURAL OBJECTS

Christophe Cruz, Franck Marzani, Frank Boochs

Abstract

This paper presents an ontology-driven 3D architectural reconstruction approach based on the survey with a 3D scanner. This solution is powerful in the field of civil engineering projects to save time during the cost process estimation. This time is saved using efficient scanning instruments and a fast reconstruction of a digital mock-up that can be used in specific software. The reconstruction approach considers the three following issues. How to define an ontology to drive the reconstruction process? How to find semantic objects in a cloud of points? How to control an algorithm in order to find all objects in the cloud of points? This paper underlines the solutions found for these questions.

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Paper Citation


in Harvard Style

Cruz C., Marzani F. and Boochs F. (2007). ONTOLOGY-DRIVEN 3D RECONSTRUCTION OF ARCHITECTURAL OBJECTS . In Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 3: 3D Model Aquisition and Representation, (VISAPP 2007) ISBN 978-972-8865-75-7, pages 47-54. DOI: 10.5220/0002047300470054


in Bibtex Style

@conference{3d model aquisition and representation07,
author={Christophe Cruz and Franck Marzani and Frank Boochs},
title={ONTOLOGY-DRIVEN 3D RECONSTRUCTION OF ARCHITECTURAL OBJECTS},
booktitle={Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 3: 3D Model Aquisition and Representation, (VISAPP 2007)},
year={2007},
pages={47-54},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002047300470054},
isbn={978-972-8865-75-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 3: 3D Model Aquisition and Representation, (VISAPP 2007)
TI - ONTOLOGY-DRIVEN 3D RECONSTRUCTION OF ARCHITECTURAL OBJECTS
SN - 978-972-8865-75-7
AU - Cruz C.
AU - Marzani F.
AU - Boochs F.
PY - 2007
SP - 47
EP - 54
DO - 10.5220/0002047300470054