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Automatic Extraction of Generic House Roofs from High Resolution Aerial Imagery

F. Bignone, O. Henricsson, P. Fua and M. Stricker
BIWI-TR-168, 1996
Swiss Federal Institute of Technology ETH, Communication Technology Laboratory

Abstract

We present a technique to extract complex suburban roofs from sets of aerial images. Because we combine 2--D edge information, photometric and chromatic attributes and 3--D information, we can deal with complex houses. Neither do we assume the roofs to be flat or rectilinear nor do we require parameterized building models. From only one image, 2--D edges and their corresponding attributes and relations are extracted. Using a segment stereo matching based on all available images, the 3--D location of these edges are computed. The 3--D segments are then grouped into planes and 2--D enclosures are extracted, thereby allowing to infer intersecting 3--D patches describing roofs of houses. To achieve this, we have developed a hierarchical parsing procedure that effectively pools the information while keeping the combinatorics under control. Of particular importance is the tight coupling of 2--D and 3--D analysis. We show results on complicated suburban houses of different shapes.


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@Techreport{eth_biwi_00086,
  author = {F. Bignone and O. Henricsson and P. Fua and M. Stricker},
  title = {Automatic Extraction of Generic House Roofs from High Resolution Aerial Imagery},
  year = {1996},
  number = {BIWI-TR-168},
  institution = {Swiss Federal Institute of Technology ETH, Communication Technology Laboratory},
  keywords = {segmentation,contour,model-based,grouping,reconstruction,matching,color,man-made objects,stereo}
}