Handbook of discrete and computational geometry
Computational geometry in C (2nd ed.)
Computational geometry in C (2nd ed.)
Efficient Matching and Indexing of Graph Models in Content-Based Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence - Graph Algorithms and Computer Vision
Structural Graph Matching Using the EM Algorithm and Singular Value Decomposition
IEEE Transactions on Pattern Analysis and Machine Intelligence - Graph Algorithms and Computer Vision
Mean Shift: A Robust Approach Toward Feature Space Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Reasoning about Qualitative Spatial Relationships
Journal of Automated Reasoning
Self-organizing map for clustering in the graph domain
Pattern Recognition Letters - In memory of Professor E.S. Gelsema
Combinatorial Geometry for Shape Representation and Indexing
ECCV '96 Proceedings of the International Workshop on Object Representation in Computer Vision II
Weighted walkthroughs between extended entities for retrieval by spatial arrangement
IEEE Transactions on Multimedia
Signatures versus histograms: Definitions, distances and algorithms
Pattern Recognition
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In this paper a novel method for indexing views of 3D objects is presented. The topological properties of the regions of views of an object or of a set of objects are used to define an index based on region connection calculus and oriented matroid theory. Both are formalisms for qualitative spatial representation and reasoning and are complementary in the sense that, whereas region connection calculus characterize connectivity of couples of connected regions of views, oriented matroids encode relative position of disjoint regions of views and give local and global topological information about their spatial distribution. This indexing technique has been applied to hypothesis generation from a single view to reduce the number of candidates in 3D object recognition processes.