This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Matching Images Using Linear Features
June 1984 (vol. 6 no. 6)
pp. 675-685
Gerard Medioni, Intelligent Systems Group, Departments of Electrical Engineering and Computer Science, University of Southern, California, Los Angeles, CA 90089.
Ramakant Nevatia, Intelligent Systems Group, Departments of Electrical Engineering and Computer Science, University of Southern, California, Los Angeles, CA 90089.
We describe techniques for matching two images or an image and a map. This operation is basic for machine vision and is needed for the tasks of object recognition, change detection, map up-dating, passive navigation, and other tasks. Our system uses line-based descriptions, and matching is accomplished by a relaxation operation which computes most similar geometrical structures. A more efficient variation, called the ``kernel'' method, is also described. We give results on complex aerial images which contain many image differences, caused by varying sun position, different seasons, and imaging environments, and also structural changes caused by man-made alterations such as new construction.
Citation:
Gerard Medioni, Ramakant Nevatia, "Matching Images Using Linear Features," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 6, no. 6, pp. 675-685, June 1984, doi:10.1109/TPAMI.1984.4767592
Usage of this product signifies your acceptance of the Terms of Use.