(Enter summary)
Abstract: Image registration finds a variety of applications in
computer vision. Unfortunately, traditional image registration
techniques tend to be costly. We present a new image
registration technique that makes use of the spatial intensity
gradient of the images to find a good match using a type of
Newton-Raphson iteration. Our technique is faster because
it examines far fewer potential matches between the images
than existing techniques. Furthermore, this registration
technique can be generalized to... (Update)
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BibTeX entry: (Update)
Lucas, B. D. and Kanade, T. (1981). An iterative image registration technique with an application to stereo vision, Proceedings of the 7th International Joint Conference on Artificial Intelligence, Vancouver, pp. 674--679. http://citeseer.ist.psu.edu/lucas81iterative.html More
@inproceedings{ lucas81iterative,
author = "Lucas, B.D. and Kanade, T.",
title = "An Iterative Image Registration Technique with an Application to Stereo Vision",
booktitle = "IJCAI81",
pages = "674-679",
year = "1981",
url = "citeseer.ist.psu.edu/lucas81iterative.html" }
Citations (may not include all citations):
151
Problem-Solving Methods in Artificial Intelligence (context) - Nils - 1971
108
A Computational Theory of Human Stereo Vision (context) - Marr, Poggio - 1979
20
A Class of Algorithms for Fast Digital Image Registration (context) - Daniel, Silverman - 1972
9
Visual Mapping by a Robot Rover (context) - Hans - 1979
2
DARPA Image Understanding Workshop (context) - Baker - 1980
1
DARPA Image Understanding Workshop (context) - Donald, Calibration - 1979
1
Rinehart and Winston (context) - Edward, to et al. - 1976
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