Feature matching for building extraction from multiple views
1994 Proceedings of IEEE Conference on Computer Vision and Pattern …, 1994•ieeexplore.ieee.org
We present a method to generate three-dimensional building hypotheses starting from
sparse features, hypothesized building corners, extracted from multiple views of the scene.
This technique relies on knowledge about the imaging geometry and acquisition parameters
to provide rigorous geometric constraints for the matching process. The effectiveness of this
approach is demonstrated using complex aerial imagery taken with highly oblique views
containing buildings with flat or peaked roofs.<>
sparse features, hypothesized building corners, extracted from multiple views of the scene.
This technique relies on knowledge about the imaging geometry and acquisition parameters
to provide rigorous geometric constraints for the matching process. The effectiveness of this
approach is demonstrated using complex aerial imagery taken with highly oblique views
containing buildings with flat or peaked roofs.<>
We present a method to generate three-dimensional building hypotheses starting from sparse features, hypothesized building corners, extracted from multiple views of the scene. This technique relies on knowledge about the imaging geometry and acquisition parameters to provide rigorous geometric constraints for the matching process. The effectiveness of this approach is demonstrated using complex aerial imagery taken with highly oblique views containing buildings with flat or peaked roofs.< >
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