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3-D Building Reconstruction with ARUBA: A Qualitative and Quantitative Evaluation

O. Henricsson and E. Baltsavias
Automatic Extraction of Man-Made Objects from Aerial and Space Images II
1997

Abstract

Reliable and accurate 3-D reconstruction of man-made objects is essential for many applications using digital 3-D city models. Manual reconstruction of buildings from aerial images is time consuming and requires skilled personnel, hence large efforts are being directed towards the automation of building detection and reconstruction. In this paper we present ARUBA - a framework for automated 3-D building reconstruction. After highlighting our strategy and concisely describing the framework and its modules, we evaluate the reconstructed roofs relative to accurate reference data based on three criteria: completeness, geometric accuracy and shape similarity. Finally, we interpret the results of the performance evaluation and make suggestions for improvements.


Download in postscript format
@InProceedings{eth_biwi_00133,
  author = {O. Henricsson and E. Baltsavias},
  title = {3-D Building Reconstruction with ARUBA: A Qualitative and Quantitative Evaluation},
  booktitle = {Automatic Extraction of Man-Made Objects from Aerial and Space Images II},
  year = {1997},
  editor = {Grün A. and Baltsavias E. and Henricsson O.},
  publisher = {Birkhäuser Verlag, Basel},
  keywords = {grouping,matching,reconstruction,segmentation,color,man-made objects,stereo}
}