Automatic Determination of Image-to-Database Correspondences
Proceedings of the Sixth International Joint Conference on Artificial Intelligence. .
Abstract
New techniques are described for some of the important computations in the automatic determination of image-to-database correspondences. In particular, a technique to predict a region in the image within which a feature is expected to appear, a set of techniques to verify feature matches, and a technique to extend the refinement process to include a new type of match based on linear features, such as roads, are discussed. These techniques are demonstrated in an example in which the system reduces the uncertainties from approximately plus or minus 200 feet on the ground to approximately plus or minus two feet.
@inproceedings{ijcai1979p20,
title = {Automatic Determination of Image-to-Database Correspondences},
author = {Bolles, Robert C. and Quam, L. H. and Fischler, Martin A. and Wolf, Helen C.},
booktitle = {Proceedings of the Sixth International Joint Conference on
Artificial Intelligence, {IJCAI-79}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Bruce G. Buchanan},
year = {1979},
month = {8},
url = {https://ijcai.org/proceedings/1979/20},
}
TY - CPAPER TI - Automatic Determination of Image-to-Database Correspondences AU - Bolles, Robert C. AU - Quam, L. H. AU - Fischler, Martin A. AU - Wolf, Helen C. T2 - Proceedings of the Sixth International Joint Conference on Artificial Intelligence, IJCAI-79 PB - International Joint Conferences on Artificial Intelligence PY - 1979 UR - https://ijcai.org/proceedings/1979/20 ER -Copied
Machine-readable versions of this paper, for tools and AI agents:
