The ascender system: automated site modeling from multiple aerial images
Computer Vision and Image Understanding
The role of color attributes and similarity grouping in 3-D building reconstruction
Computer Vision and Image Understanding
Detection and Modeling of Buildings from Multiple Aerial Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic Extraction of Generic House Roofs from High Resolution Aerial Imagery
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
New Techniques for Automated Architectural Reconstruction from Photographs
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part II
Statistically Testing Uncertain Geometric Relations
Mustererkennung 2000, 22. DAGM-Symposium
Points, Lines, and Planes and Their Optimal Estimation
Proceedings of the 23rd DAGM-Symposium on Pattern Recognition
Automatic Modeling and 3D Reconstruction of Urban House Roofs from High Resolution Aerial Imagery
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
Automatic line matching across views
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
MSLD: A robust descriptor for line matching
Pattern Recognition
Automatic description of complex buildings from multiple images
Computer Vision and Image Understanding
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In this study, we propose a new line matching and reconstruction methodology for aerial image triplets that are acquired within a single strip. The newly developed stereo reconstruction approach gives us better line predictions in the third image which in turn helps to improve the performance of the matching. The redundancy information generated in each stereo match gives us ability to reduce the number of false matches while preserving high levels of matching completeness. The approach is tested over four test patches and produced highly promising line matching and reconstruction results.