An Iterative Image Registration Technique with an Application to Stereo Vision
Proceedings of the Seventh International Joint Conference on Artificial Intelligence. Vision: 3-d. Pages 674-678.
Abstract
Image registration finds a variety of applications in computer v1s1on . Unfortunately, traditional image registration techniques tend to be costly. We present a new image registration technique that makes use of the spatiahntensity gradient of the images to find a good match using a type of Newton-Raphson iteration. Our technique is taster because it examines tar fewer potenrial matches between the images than existing techniques. Furthermore, this registration technique can be generalized to handle rotation, scaling and shearing. We. show how our technique can be adapted tor use in a stereo vision system.
@inproceedings{ijcai1981p127,
title = {An Iterative Image Registration Technique with an Application to Stereo Vision},
author = {Lucas, Bruce D. and Kanade, Takeo},
booktitle = {Proceedings of the Seventh International Joint Conference on
Artificial Intelligence, {IJCAI-81}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Roger C. Schank},
pages = {674--678},
year = {1981},
month = {8},
note = {Vision: 3-d},
url = {https://ijcai.org/proceedings/1981/127},
}
TY - CPAPER TI - An Iterative Image Registration Technique with an Application to Stereo Vision AU - Lucas, Bruce D. AU - Kanade, Takeo T2 - Proceedings of the Seventh International Joint Conference on Artificial Intelligence, IJCAI-81 PB - International Joint Conferences on Artificial Intelligence PY - 1981 SP - 674 EP - 678 UR - https://ijcai.org/proceedings/1981/127 ER -Copied
Machine-readable versions of this paper, for tools and AI agents:
