Friday, June 25, 2004

Paper Review:Lucas81Iterative

Journal = {Proc. of 7th International Joint Conference on Artificial Intelligence (IJCAI)},
Year = {1981},
Title = {An Iterative Image Registration Technique with an Application to Stereo Vision},
Number = {},
Pages = {674-679},
Author = {B. Lucas, and T. Kanade},
Volume = {}}

[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 handle rotation, scaling and
shearing. We show show our technique can be adapted for
use in a stereo vision system.

There is a demo program in OpenCV.

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