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ECCV
1996
Springer

Automatic Extraction of Generic House Roofs from High Resolution Aerial Imagery

11 years 15 days ago
Automatic Extraction of Generic House Roofs from High Resolution Aerial Imagery
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 at 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 e ectively pools the information while keeping the combinatorics under control. Of particular importance is the tight coupling of 2-D and 3-D analysis.
Frank Bignone, Olof Henricsson, Pascal Fua, Markus
Added 16 Oct 2009
Updated 16 Oct 2009
Type Conference
Year 1996
Where ECCV
Authors Frank Bignone, Olof Henricsson, Pascal Fua, Markus A. Stricker
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