by Gottfried, Björn
Abstract:
Theories of shapes are important for object recognition and for reasoning about the behaviour of objects, both tasks strongly constrained by shape. Whereas the extraction of shape properties has extensively been studied in vision, there is still a lack of qualitative shape descriptions which allow reasoning about shapes with AI techniques in a flexible manner. In this paper we present a qualitative shape description. This description is based on a set of qualitative relations which can be combined to construct arbitrary polygonal shapes. As we are interested in demonstrating how qualitative reasoning approaches can be applied to shape descriptions, our theory is confined to stylised shape representations which are obtainable by applying conventional image processing techniques. We will show how to qualitatively reason about shapes.
Reference:
Gottfried, Björn, "Tripartite Line Tracks - Bipartite Line Tracks", In KI 2003: Advances in Artificial Intelligence, 26th Annual German Conference on AI, vol. 2821, Hamburg, Germany, pp. 535–549, 2003. Copyright Springer-Verlag
Bibtex Entry:
@INPROCEEDINGS{Gottfriedc,
author = {Gottfried, Bj{\"o}rn},
title = {{Tripartite Line Tracks - Bipartite Line Tracks}},
booktitle = {KI 2003: Advances in Artificial Intelligence, 26th Annual German
Conference on AI},
year = {2003},
editor = {Guenter, Andreas and Kruse, Rudolf and Neumann, Bernd},
volume = {2821},
series = {LNAI},
pages = {535--549},
address = {Hamburg, Germany},
month = {September},
note = {Copyright Springer-Verlag},
abstract = {Theories of shapes are important for object recognition and for reasoning
about the behaviour of objects, both tasks strongly constrained by
shape. Whereas the extraction of shape properties has extensively
been studied in vision, there is still a lack of qualitative shape
descriptions which allow reasoning about shapes with AI techniques
in a flexible manner. In this paper we present a qualitative shape
description. This description is based on a set of qualitative relations
which can be combined to construct arbitrary polygonal shapes. As
we are interested in demonstrating how qualitative reasoning approaches
can be applied to shape descriptions, our theory is confined to stylised
shape representations which are obtainable by applying conventional
image processing techniques. We will show how to qualitatively reason
about shapes.},
owner = {pmania},
timestamp = {2012.11.06},
url = {http://www.tzi.de/~bjoerng/Gottfried2003b.pdf}
}