DocumentCode :
2078295
Title :
Projective and object space geometry for monocular building extraction
Author :
McGlone, J. Chris ; Shufelt, Jefferey A.
Author_Institution :
Digital Mapping Lab., Carnegie Mellon Univ., Pittsburgh, PA, USA
fYear :
1994
fDate :
21-23 Jun 1994
Firstpage :
54
Lastpage :
61
Abstract :
Knowledge about the imaging geometry and acquisition parameters provides useful geometric constraints for the analysis and extraction of man-made features in aerial imagery, particularly in oblique views. We discuss the identification of horizontal and vertical lines in the scene, using image orientation information and vanishing point calculations, and the calculation of their dimensions. The vertical and horizontal attributions are used to constrain the set of possible building hypotheses, and vertical lines are extracted at corners to estimate structure height and permit the generation of three-dimensional building models from monocular views. Results of these techniques are presented for nadir and oblique imagery and evaluated against manually generated 3D ground truth building models
Keywords :
cartography; computational geometry; edge detection; feature extraction; 3D ground truth building models; acquisition parameters; aerial imagery; feature analysis; feature extraction; geometric constraints; image orientation; imaging geometry; monocular building extraction; monocular views; object space geometry; projective space geometry; structure height estimation; three-dimensional building models; vanishing point calculation; vertical lines; Feature extraction; Geometric modeling; Image edge analysis; Image orientation analysis;
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.1994.323810
Filename :
323810
Link To Document :
بازگشت