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A Probabilistic Approach to Roof Patch Extraction and Reconstruction

S. Scholze, T. Moons and L. Van Gool
Automatic Extraction of Man-Made Objects from Aerial and Space Images
June 2001

Abstract

This paper investigates into the reconstruction of planar polygonal patches in a 3D scene from high resolution colour stereo imagery. 3D line segments, obtained from multiview correspondence analysis, are grouped into planes. In these planes, models for polygonal patches are then instantiated and verified using a Bayesian probabilistic formulation. Driven by the Max-imum Expected Utility principle, the initial patch hypotheses are improved non-deterministically. Further patches are instantiated, verified and improved using a bootstrap strategy, until the com-plete reconstruction is found. Results for both, the intermediate reasoning steps and the complete reconstruction are given. A main application of the presented method is for automatic building reconstruction from high resolution aerial imagery in densely built up urban areas.


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@InProceedings{eth_biwi_00231,
  author = {S. Scholze and T. Moons and L. Van Gool},
  title = {A Probabilistic Approach to Roof Patch Extraction and Reconstruction},
  booktitle = {Automatic Extraction of Man-Made Objects from Aerial and Space Images},
  year = {2001},
  month = {June},
  editor = {A. Grün and L. Van Gool},
  publisher = {Balkema Publishers, Rotterdam},
  keywords = {probability theory, utility therory, maximum expected utility principle, roof patch model, automatic building reconstruction}
}