Towards the Extraction of Hierarchical Building Descriptions from 3D Indoor Scans

Sebastian Ochmann, Richard Vock, Raoul Wessel und Reinhard Klein

In proceedings of EUROGRAPHICS Workshop on 3D Object Retrieval (3DOR 2014), Strasbourg, France, Apr. 2014

Abstract

We present a new method for the hierarchical decomposition of 3D indoor scans and the subsequent generation of an according hierarchical graph-based building descriptor. The hierarchy consists of four basic levels with according entities, building - storey - room - object. All entities are represented as attributed nodes in a graph and are linked to the upper level entity they are located in. Additionally, nodes of the same level are linked depending on their spatial and topological relationship. The hierarchical description enables easy navigation in the formerly unstructured data, measurement takings, as well as carrying out retrieval tasks that incorporate geometric, topological, and also functional building properties describing e.g. the designated use of single rooms according to the objects it contains. In contrast to previous methods which either focus on the segmentation into rooms or on the recognition of indoor objects, our holistic approach incorporates a rather large spectrum of entities on different semantic levels that are inherent to 3D building representations. In our evaluation we show the feasibility of our method for extraction of hierarchical building descriptions for various tasks using real-world data.

This paper in the EG library: Towards the Extraction of Hierarchical Building Descriptions from 3D Indoor Scans

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Bibtex

@INPROCEEDINGS{ochmann-2014-towards,
     author = {Ochmann, Sebastian and Vock, Richard and Wessel, Raoul and Klein, Reinhard},
      title = {Towards the Extraction of Hierarchical Building Descriptions from 3D Indoor Scans},
  booktitle = {EUROGRAPHICS Workshop on 3D Object Retrieval (3DOR 2014)},
       year = {2014},
      month = apr,
   location = {Strasbourg, France},
   abstract = {We present a new method for the hierarchical decomposition of 3D indoor scans and the subsequent
               generation of an according hierarchical graph-based building descriptor. The hierarchy consists of
               four basic levels with according entities, building - storey - room - object. All entities are
               represented as attributed nodes in a graph and are linked to the upper level entity they are located
               in. Additionally, nodes of the same level are linked depending on their spatial and topological
               relationship. The hierarchical description enables easy navigation in the formerly unstructured
               data, measurement takings, as well as carrying out retrieval tasks that incorporate geometric,
               topological, and also functional building properties describing e.g. the designated use of single
               rooms according to the objects it contains. In contrast to previous methods which either focus on
               the segmentation into rooms or on the recognition of indoor objects, our holistic approach
               incorporates a rather large spectrum of entities on different semantic levels that are inherent to
               3D building representations. In our evaluation we show the feasibility of our method for extraction
               of hierarchical building descriptions for various tasks using real-world data.},
        url = {http://diglib.eg.org/EG/DL/WS/3DOR/3DOR14/085-092.pdf},
        doi = {10.2312/3dor.20141054}
}