Artificial Intelligence
Readings in qualitative reasoning about physical systems
Readings in qualitative reasoning about physical systems
A Theory of Multiscale, Curvature-Based Shape Representation for Planar Curves
IEEE Transactions on Pattern Analysis and Machine Intelligence
Qualitative representation of positional information
Artificial Intelligence
ACM Computing Surveys (CSUR)
Shape Similarity Measure Based on Correspondence of Visual Parts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Maintaining knowledge about temporal intervals
Communications of the ACM
Modeling and Retrieval of Moving Objects
Multimedia Tools and Applications
Real-World Applications of Qualitative Reasoning
IEEE Expert: Intelligent Systems and Their Applications
COSIT '99 Proceedings of the International Conference on Spatial Information Theory: Cognitive and Computational Foundations of Geographic Information Science
Reasoning about Binary Topological Relations
SSD '91 Proceedings of the Second International Symposium on Advances in Spatial Databases
Calculi for Qualitative Spatial Reasoning
AISMC-3 Proceedings of the International Conference AISMC-3 on Artificial Intelligence and Symbolic Mathematical Computation
Similarity assessment for cardinal directions between extended spatial objects
Similarity assessment for cardinal directions between extended spatial objects
Fuzzy semantics for direction relations between composite regions
Information Sciences—Informatics and Computer Science: An International Journal
GIS '06 Proceedings of the 14th annual ACM international symposium on Advances in geographic information systems
Implementing a qualitative calculus to analyse moving point objects
Expert Systems with Applications: An International Journal
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Many shape recognition techniques have been presented in literature, most of them from a quantitative perspective. Research has shown that qualitative reasoning better reflects the way humans deal with spatial reality. The current qualitative techniques are based on break points resulting in difficulties in comparing analogous relative positions along polylines. The presented shape representation technique is a qualitative approach based on division points, resulting in shape matrices forming a shape data model and thus forming the basis for a cognitively relevant similarity measure for shape representation and shape comparison, both locally and globally.