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Automatic Extraction of Generic House Roofs from High Resolution Aerial Imagery
F. Bignone and O. Henricsson
Computer Vision -- ECCV'96
1996
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 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.
Download in postscript format
@InProceedings{eth_biwi_00085,
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}
}