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Applied graph theory in computer vision and pattern recognition
Horst Bunke (Editor), Abraham Kandel (Editor),
Mark Last
Department of Software and Information Systems Engineering
Research output
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Book/Report
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Dive into the research topics of 'Applied graph theory in computer vision and pattern recognition'. Together they form a unique fingerprint.
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Keyphrases
Computer Vision
100%
Pattern Recognition
100%
Vision Recognition
100%
Applied Graph Theory
100%
Graph-based
33%
Recognition Task
33%
Applications of Graph Theory
33%
Graph-theoretic
16%
Distance Measure
16%
Computer Networks
16%
Learning Algorithm
16%
Graph Theory
16%
Graph Matching
16%
Time-varying Graphs
16%
Network Monitoring
16%
Graphical Method
16%
Graph Isomorphism
16%
Fingerprint Classification
16%
Graph Matching Problem
16%
Digital Image Processing
16%
Graph Distance
16%
Computationally Efficient Algorithms
16%
Matching Task
16%
Homogeneous Area
16%
Pattern Recognition Applications
16%
Abnormal Detection
16%
Graph Theoretic Approach
16%
Digital Topology
16%
Graph Pyramid
16%
Low-level Processing
16%
Computer Science
Computer Vision
100%
Graph Theory
100%
Pattern Recognition
100%
Graph Matching
28%
Event Detection
14%
Efficient Algorithm
14%
Learning Algorithm
14%
Computer Network
14%
Distance Measure
14%
Network Monitoring
14%
Potential Application
14%
Representative Set
14%
Fingerprint Classification
14%
Engineering
Computervision
100%
Pattern Recognition
100%
Tasks
42%
Event Detection
14%
Potential Application
14%
Learning Algorithm
14%
Representative Set
14%
Fingerprint Classification
14%