Towards extending IFC with point cloud data

Thomas Krijnen, Jakob Beetz, Sebastian Ochmann, Richard Vock und Raoul Wessel
In proceedings of 22nd EG-ICE International Workshop, Juli 2015
 

Abstract

In this paper we suggest an extension to the Industry Foundation Classes model to integrate point cloud datasets. The proposal includes a schema extension to the core model allowing the storage of points either as Cartesian coordinates, points in parametric space of a surface associated with a building element or as discrete height fields projected as grids onto (building element) surfaces. To handle considerable amounts of data, we further suggest to employ the Hierarchical Data Format (HDF) as an efficient serialization format as an additional alternative to clear text encoded ISO 10303 part 21 files. Based on prototypical implementations we show early results of population files and discuss potential benefits of dedicated compression algorithms.

Presentation slides are available here.

Bilder

Bibtex

@INPROCEEDINGS{Krijnen-2015-Towards,
     author = {Krijnen, Thomas and Beetz, Jakob and Ochmann, Sebastian and Vock, Richard and Wessel, Raoul},
      title = {Towards extending IFC with point cloud data},
  booktitle = {22nd EG-ICE International Workshop},
       year = {2015},
      month = jul,
   abstract = {In this paper we suggest an extension to the Industry Foundation Classes model to integrate point
               cloud datasets. The proposal includes a schema extension to the core model allowing the storage of
               points either as Cartesian coordinates, points in parametric space of a surface associated with a
               building element or as discrete height fields projected as grids onto (building element) surfaces.
               To handle considerable amounts of data, we further suggest to employ the Hierarchical Data Format
               (HDF) as an efficient serialization format as an additional alternative to clear text encoded ISO
               10303 part 21 files. Based on prototypical implementations we show early results of population files
               and discuss potential benefits of dedicated compression algorithms.}
}