Knowledge Base Approach for 3D Objects Detection in Point Clouds Using 3D Processing and Specialists Knowledge

摘要: This paper presents a knowledge-based detection of objects approach using the OWL ontology language, Semantic Web Rule Language, and 3D processing built-ins aiming at combining geometrical analysis point clouds specialist's knowledge. Here, we share our experience regarding creation semantic facility model out unorganized clouds. Thus, language is presented. knowledge used to define SWRL rules. In addition, combination topological Built-Ins in rules allows more flexible intelligent detection, annotation contained The created WiDOP prototype takes set as input, produces output populated corresponding an indexed scene visualized within VRML language. context study railway materialized Deutsche Bahn such signals, technical cupboards, electric poles, etc. resulting enriched ontology, that contains annotations clouds, feed GIS system or IFC file for architecture purposes.