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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Cohn, A.G.: A hierarchical representation of qualitative shape based on connection and convexity. In: Kuhn, W., Frank, A.U. (eds.) COSIT 1995. LNCS, vol. 988, pp. 311–326. Springer, Heidelberg (1995)
Cohn, A.G., Hazarika, S.M.: Qualitative spatial representation and reasoning: An overview. Fundamenta Informaticae 43, 2–32 (2001)
Cordella, L.P., Vento, M.: Symbol recognition in documents: a collection of techniques? International Journal on Document Analysis and Recognition 3, 73–88 (2000)
Freksa, C.: Temporal reasoning based on semi-intervals. Artificial Intelligence 94, 199–227 (1992)
Freksa, C., Zimmermann, K.: On the utilization of spatial structures for cognitively plausible and efficient reasoning. In: IEEE International Conference on Systems, Man and Cybernetics, Chicago (1992)
Galton, A., Meathrel, R.C.: Qualitative outline theory. In: IJCAI 1999, Stockholm, Sweden, pp. 1061–1066 (1999)
Gottfried, B.: Tripartite Line Tracks. In: Wojciechowski, K. (ed.) International Conference on Computer Vision and Graphics, Zakopane, pp. 288–293 (2002)
Gottfried, B.: Tripartite Line Tracks, Qualitative Curvature Information. In: Kuhn, W., Worboys, M.F., Timpf, S. (eds.) COSIT 2003. LNCS, vol. 2825, pp. 101–117. Springer, Heidelberg (2003)
Rosin, P.L.: Assessing the behaviour of polygonal approximation algorithms. Pattern Recognition 36, 505–518 (2003)
Schlieder, C.: Qualitative shape representation. In: Burrough, P., Frank, A.M. (eds.) Geographic objects with indeterminate boundaries, London, pp. 123–140. Taylor & Francis, Abington (1996)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Gottfried, B. (2003). Tripartite Line Tracks – Bipartite Line Tracks. In: Günter, A., Kruse, R., Neumann, B. (eds) KI 2003: Advances in Artificial Intelligence. KI 2003. Lecture Notes in Computer Science(), vol 2821. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39451-8_39
Download citation
DOI: https://doi.org/10.1007/978-3-540-39451-8_39
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-20059-8
Online ISBN: 978-3-540-39451-8
eBook Packages: Springer Book Archive