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Automatic Extraction of Generic House Roofs from High Resolution Aerial Imagery

F. Bignone and O. Henricsson
Computer Vision -- ECCV'96


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 adjoining 3-D patches describing roofs of houses. To achieve this, we have developed a hierarchical 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.

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  author = {F. Bignone and O. Henricsson},
  title = {Automatic Extraction of Generic House Roofs from High Resolution Aerial Imagery},
  booktitle = {Computer Vision -- ECCV'96},
  year = {1996},
  pages = {85-96},
  volume = {1},
  editor = {R. Cipolla},
  publisher = {Springer Verlag},
  keywords = {segmentation,contour,model-based,grouping,reconstruction,matching,color,man-made objects,stereo}