Title :
Feature matching for building extraction from multiple views
Author :
Roux, Michel ; McKeown, David M.
Author_Institution :
Dept. of Comput. Sci., Carnegie Mellon Univ., Pittsburgh, PA, USA
Abstract :
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
Keywords :
computational geometry; computer vision; feature extraction; acquisition parameters; building extraction; complex aerial imagery; feature matching; geometric constraints; highly oblique; hypothesized building corners; imaging geometry; sparse features; three-dimensional building hypotheses; Computational geometry; Feature extraction; Machine vision;
Conference_Titel :
Computer Vision and Pattern Recognition, 1994. Proceedings CVPR '94., 1994 IEEE Computer Society Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
0-8186-5825-8
DOI :
10.1109/CVPR.1994.323809
