Experiments on the Use of the ATMS to Label Features for Object Recognition
Abstract
Experiments are reported on the use of an Assumption-based Truth Maintenance System (ATMS) [6] to establish a match between a 3-d model and a single 2-d image. We show that the ATMS improves the efficiency of the search for maximal combinations of consistently labelled features. A memory cost is incurred, associated with the recording system of the ATMS; this can be reduced by simple heuristics. Empirical evidence is presented quantifying the costs and benefits of the method.
Cite
Text
Bodington et al. "Experiments on the Use of the ATMS to Label Features for Object Recognition." European Conference on Computer Vision, 1990. doi:10.1007/BFB0014904Markdown
[Bodington et al. "Experiments on the Use of the ATMS to Label Features for Object Recognition." European Conference on Computer Vision, 1990.](https://mlanthology.org/eccv/1990/bodington1990eccv-experiments/) doi:10.1007/BFB0014904BibTeX
@inproceedings{bodington1990eccv-experiments,
title = {{Experiments on the Use of the ATMS to Label Features for Object Recognition}},
author = {Bodington, R. M. and Sullivan, Geoffrey D. and Baker, Keith D.},
booktitle = {European Conference on Computer Vision},
year = {1990},
pages = {542-551},
doi = {10.1007/BFB0014904},
url = {https://mlanthology.org/eccv/1990/bodington1990eccv-experiments/}
}