Navigation and mapping in large-scale space
AI Magazine
The graph isomorphism problem: its structural complexity
The graph isomorphism problem: its structural complexity
Fuzzy Sets and Systems - Special issue on fuzzy methods for computer vision and pattern recognition
Human-based spatial relationship generalization through neural/fuzzy approaches
Fuzzy Sets and Systems
A New Way to Represent the Relative Position between Areal Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fuzzy Relative Position Between Objects in Image Processing: A Morphological Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient Matching and Indexing of Graph Models in Content-Based Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence - Graph Algorithms and Computer Vision
Comparison of spatial relation definitions in computer vision
ISUMA '95 Proceedings of the 3rd International Symposium on Uncertainty Modelling and Analysis
R-Histogram: quantitative representation of spatial relations for similarity-based image retrieval
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Generating fuzzy semantic metadata describing spatial relations from images using the R-histogram
Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries
R*-Histograms: efficient representation of spatial relations between objects of arbitrary topology
Proceedings of the 12th annual ACM international conference on Multimedia
Graph-based consistency checking in spatial information systems
HCC '03 Proceedings of the 2003 IEEE Symposium on Human Centric Computing Languages and Environments
Qualitative Spatial Representation and Reasoning: An Overview
Fundamenta Informaticae - Qualitative Spatial Reasoning
Graph-based representation for similarity retrieval of symbolic images
Data & Knowledge Engineering
Graph-based Knowledge Representation: Computational Foundations of Conceptual Graphs
Graph-based Knowledge Representation: Computational Foundations of Conceptual Graphs
Fuzzy spatial relationships for image processing and interpretation: a review
Image and Vision Computing
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The spatial relationship description among objects is highly desirable for many research areas such as artificial intelligence and image analysis. In this paper we present a novel fuzzy logic method to automatically generate the description of spatial relationships among objects. A new graph-based fuzzy linguistic metadata schema named Snowflake is proposed to describe the topology and metric relationships for a set of objects. Like an artist painting a picture, Snowflake selects one reference object to present the spatial relationships of all the other objects with respect to this reference object. This paper introduces the operations and isomorphism of Snowflake. The paper also demonstrates that Snowflake preserves the rotation invariance and the scale invariance of spatial relationships. Experiments show that Snowflake is an efficient and effective spatial modeling method.