Fuzzy sets, uncertainty, and information
Fuzzy sets, uncertainty, and information
Various views on spatial prepositions
AI Magazine
On the description of the relative position of fuzzy patterns
Pattern Recognition Letters
Fuzzy Sets and Systems - Special issue on fuzzy methods for computer vision and pattern recognition
Basic meanings of spatial relations: computation and evaluation in 3D space
AAAI'94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 2)
Fuzzy geometry: an updated overview
Information Sciences: an International Journal
A New Way to Represent the Relative Position between Areal Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fuzzy adjacency between image objects
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Fuzzy Sets and Systems: Theory and Applications
Fuzzy Sets and Systems: Theory and Applications
Digital Picture Processing
Fast and robust recognition of orbit and sinus drawings using histograms of forces
Pattern Recognition Letters
Comparison of spatial relation definitions in computer vision
ISUMA '95 Proceedings of the 3rd International Symposium on Uncertainty Modelling and Analysis
Linguistic description of relative positions in images
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
The Use of Force Histograms for Affine-Invariant Relative Position Description
IEEE Transactions on Pattern Analysis and Machine Intelligence
Spatial Relations Analysis by Using Fuzzy Operators
ICCS 2009 Proceedings of the 9th International Conference on Computational Science
Hi-index | 0.00 |
Understanding the spatial organization of regions in images is a crucial task, essential to many domains of computer vision. The histogram of forces--a quantitative representation of the relative position between two objects--constitutes a powerful tool dedicated to this task. It encapsulates structural information about the objects as well as information about their spatial relationships. Moreover, it offers solid theoretical guarantees and nice geometric properties. Numerous applications have been studied, and new applications continue to be explored. For instance, force histograms can be compared through similarity measures for fuzzy scene matching. They can be used for describing relative positions in terms of spatial relationships modeled by fuzzy relations. They can also be used for scene description, where relative positions are represented by linguistic expressions. This chapter reviews and classifies work on the histogram of forces. It touches topics as varied as human-robot communication and spatial indexing mechanisms for medical image databases.