Using Perceptual Grouping to Recognize and Locate Partially Occluded Objects
Abstract
The authors describe a connectionist network which is not a neural net in which knowledge is distributed globally via the connections of functionally simple nodes. The technique combines constraint propagation with analogical or eidetic representations. It represents an alternative to the atomistic signals-to-symbols paradigm in which a one-to-one correspondence is assumed to exist between symbols and the concepts they represent.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Cite
Text
Rearick et al. "Using Perceptual Grouping to Recognize and Locate Partially Occluded Objects." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1988. doi:10.1109/CVPR.1988.196331Markdown
[Rearick et al. "Using Perceptual Grouping to Recognize and Locate Partially Occluded Objects." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1988.](https://mlanthology.org/cvpr/1988/rearick1988cvpr-using/) doi:10.1109/CVPR.1988.196331BibTeX
@inproceedings{rearick1988cvpr-using,
title = {{Using Perceptual Grouping to Recognize and Locate Partially Occluded Objects}},
author = {Rearick, T. C. and Frawley, J. L. and Cortopassi, Pedro Paulo},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {1988},
pages = {840-846},
doi = {10.1109/CVPR.1988.196331},
url = {https://mlanthology.org/cvpr/1988/rearick1988cvpr-using/}
}