0000000001107863

AUTHOR

Helmi Ben Hmida

showing 2 related works from this author

Semantic-based Technique for the Automation the 3D Reconstruction Process

2010

Pages: 191 to 198, ISBN: 978-1-61208-104-5; International audience; The reconstruction of 3D objects based on point clouds data presents a major task in many application field since it consumes time and require human interactions to yield a promising result. Robust and quick methods for complete object extraction or identification are still an ongoing research topic and suffer from the complex structure of the data, which cannot be sufficiently modeled by purely numerical strategies. Our work aims at defining a new way of automatically and intelligently processing of 3D point clouds from a 3D laser scanner. This processing is based on the combination of 3D processing technologies and Semant…

3D processing[ INFO.INFO-IA ] Computer Science [cs]/Computer Aided Engineering[INFO.INFO-CG] Computer Science [cs]/Computational Geometry [cs.CG][ INFO.INFO-CG ] Computer Science [cs]/Computational Geometry [cs.CG]knowledge modelingontology[INFO.INFO-IA]Computer Science [cs]/Computer Aided Engineering3D scene reconstruction[INFO.INFO-CG]Computer Science [cs]/Computational Geometry [cs.CG]object identificationmixed strategy[INFO.INFO-IA] Computer Science [cs]/Computer Aided EngineeringSemantic web
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Knowledge Base Approach for 3D Objects Detection in Point Clouds Using 3D Processing and Specialists Knowledge

2012

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. Here, we share our experience regarding the creation of 3D semantic facility model out of unorganized 3D point clouds. Thus, a knowledge-based detection approach of objects using the OWL ontology language is presented. This knowledge is used to define SWRL detection rules. In addition, the combination of 3D processing built-ins and topological Built-Ins in SWRL rules allows a more flexible and intelligent detection, and the annotation of objects …

FOS: Computer and information sciencesTopologic analysisComputer Science - Artificial IntelligenceSemantic facility information modelGeometric analysis[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]Artificial Intelligence (cs.AI)3D processing algorithmSemantic VRML modelknowledge modelingontology3D scene reconstructionobject identification[ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]Semantic web
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