loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
16th International Conference on Pattern Recognition (ICPR'02) - Volume 3
Automatic Detection of Planar Contours from Uncalibrated Images
Quebec City, QC, Canada
August 11-August 15
ISBN: 0-7695-1695-X
Houda Chabbi, Mobile Information System Laboratary of the EIA-FR
Lukas Theiler, University of Fribourg
Stéphane Paris, University of Metz
The present paper describes an original technique developed for detecting and matching unknown planar structures between a pair of uncalibrated images. Problems related to bad segmentation or to occlusion are automatically solved in most cases. The match process works hierarchically on pertinent point which provide local consistency and on contours which ensure the global consistency. After match, contours are splited into planar contour according to collineations. Tests made over different pairs of images demonstrate the efficiency of our approach.
Index Terms:
uncalibrated matching, planar matching, contours splitting, collineation, hierarchical matching
Citation:
Houda Chabbi, Lukas Theiler, Stéphane Paris, "Automatic Detection of Planar Contours from Uncalibrated Images," icpr, vol. 3, pp.30541, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 3, 2002
Usage of this product signifies your acceptance of the Terms of Use.