Abstract
Distance between two relations can be defined by using some metric based on the qualitative or quantitative representation of the relations [1]. However, qualitative distances cannot be expressed by conventional measures. Most differentiating measures are derived from observation and experience in an ad hoc manner. The outcomes are cognitively acceptable only if they match the user's concept of distance. We have designed an algorithm based on heuristics to derive a conceptual neighborhood supporting smooth transitions between the relations. Herein we present the results of applying the algorithm to the well-known region connection calculus, RCC-8, and to an additional model, VRCC-3D+, that considers both 3D connectivity and obscuration. © 2013 IEEE.
Recommended Citation
C. L. Sabharwal and J. L. Leopold, "Smooth Transition Neighborhood Graphs for 3D Spatial Relations," Proceedings of the 2013 IEEE Symposium on Computational Intelligence for Multimedia, Signal and Vision Processing, CIMSIVP 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013, pp. 8 - 15, article no. 6583841, Institute of Electrical and Electronics Engineers, Sep 2013.
The definitive version is available at https://doi.org/10.1109/CIMSIVP.2013.6583841
Department(s)
Computer Science
Keywords and Phrases
conceptual distance; conceptual neighborhood; region connection calculus; smooth transition; smooth transition graph
International Standard Book Number (ISBN)
978-146735917-7
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
16 Sep 2013
