Towards Applying the OPRA Theory to Shape Similarity
Computer Vision and Pattern Recognition
2017-05-09 v1
Abstract
The motivation for using qualitative shape descriptions is as follows: qualitative shape descriptions can implicitly act as a schema for measuring the similarity of shapes, which has the potential to be cognitively adequate. Then, shapes which are similar to each other would also be similar for a pattern recognition algorithm. There is substantial work in pattern recognition and computer vision dealing with shape similarity. Here with our approach to qualitative shape descriptions and shape similarity, the focus is on achieving a representation using only simple predicates that a human could even apply without computer support.
Cite
@article{arxiv.1705.02653,
title = {Towards Applying the OPRA Theory to Shape Similarity},
author = {Christopher H. Dorr and Reinhard Moratz},
journal= {arXiv preprint arXiv:1705.02653},
year = {2017}
}