Database management of segmented interior point clouds
نویسنده
چکیده
In this report a thematic, formal model for classification of the interior of buildings is created. Firstly, a description of how objects can be reconstructed from laser scanning point clouds is given. Secondly, the thematic, formal model is described. Thirdly, how to store this model in a database is described. At the moment, the need for an accurate description of the interior of buildings (‘geo-information indoors’), e.g., for as-built information and Location Based Services (LBS), is increasing. However, up to now there are little research efforts on how to structure this interior, so it is usable for querying and storing in a computer. Hence, this research has been conducted. The result of the research is a description of a model in UML with which the interior of a building can be described and a mapping of this model to a relational Geo-Database Management System (Geo-DBMS). The model is an effort on structuring 3D information of interiors of buildings and storing this information in a Geo-DBMS, ready for querying. Focus of the model is on the way the building is composed, i.e., how all parts of the building compose the complete building. The model can be extended for diverse applications (e.g. LBS or disaster management).
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