DocumentCode
2078279
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
fYear
1994
fDate
21-23 Jun 1994
Firstpage
46
Lastpage
53
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 1994. Proceedings CVPR '94., 1994 IEEE Computer Society Conference on
Conference_Location
Seattle, WA
ISSN
1063-6919
Print_ISBN
0-8186-5825-8
Type
conf
DOI
10.1109/CVPR.1994.323809
Filename
323809
Link To Document