Graph-Based Methods for Vision: A Yorkist Manifesto

Authors:
Edwin R. Hancock;Richard C. Wilson
Affiliations:
-;-
Venue:
Proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Year:
2002

Citing 45
Cited 5

An Image Understanding System Using Attributed Symbolic Representation and Inexact Graph-Matching

IEEE Transactions on Pattern Analysis and Machine Intelligence
Structural Stereopsis for 3-D Vision

IEEE Transactions on Pattern Analysis and Machine Intelligence
An Eigendecomposition Approach to Weighted Graph Matching Problems

IEEE Transactions on Pattern Analysis and Machine Intelligence
Edge-Labeling Using Dictionary-Based Relaxation

IEEE Transactions on Pattern Analysis and Machine Intelligence
Discrete relaxation

Pattern Recognition
Constrained nets for graph matching and other quadratic assignment problems

Neural Computation
Feature-based correspondence: an eigenvector approach

Image and Vision Computing - Special issue: BMVC 1991
Hierarchical mixtures of experts and the EM algorithm

Neural Computation
Statistical physics, mixtures of distributions, and the EM algorithm

Neural Computation
A Bayesian compatibility model for graph matching

Pattern Recognition Letters
A Graduated Assignment Algorithm for Graph Matching

IEEE Transactions on Pattern Analysis and Machine Intelligence
Structural Matching by Discrete Relaxation

IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiple graph matching with Bayesian inference

Pattern Recognition Letters - special issue on pattern recognition in practice V
A graph distance metric based on the maximal common subgraph

Pattern Recognition Letters
Modelbase partitioning using property matrix spectra

Computer Vision and Image Understanding
Graph Matching With a Dual-Step EM Algorithm

IEEE Transactions on Pattern Analysis and Machine Intelligence
An energy function and continuous edit process for graph matching

Neural Computation
Structural matching with active triangulations

Computer Vision and Image Understanding
Error Correcting Graph Matching: On the Influence of the Underlying Cost Function

IEEE Transactions on Pattern Analysis and Machine Intelligence
Matching Hierarchical Structures Using Association Graphs

IEEE Transactions on Pattern Analysis and Machine Intelligence
New Constraints on Data-Closeness and Needle Map Consistency for Shape-from-Shading

IEEE Transactions on Pattern Analysis and Machine Intelligence
Graph matching with hierarchical discrete relaxation

Pattern Recognition Letters
A mixture model for pose clustering

Pattern Recognition Letters - Special issue on pattern recognition in practice VI
Shape recognition from large image libraries by inexact graph matching

Pattern Recognition Letters - Special issue on pattern recognition in practice VI
Normalized Cuts and Image Segmentation

IEEE Transactions on Pattern Analysis and Machine Intelligence
Bayesian Graph Edit Distance

IEEE Transactions on Pattern Analysis and Machine Intelligence
Object Recognition Using Shape-from-Shading

IEEE Transactions on Pattern Analysis and Machine Intelligence
Structural Graph Matching Using the EM Algorithm and Singular Value Decomposition

IEEE Transactions on Pattern Analysis and Machine Intelligence - Graph Algorithms and Computer Vision
Correction to "Pairwise Data Clustering by Deterministic Annealing"

IEEE Transactions on Pattern Analysis and Machine Intelligence
Line Pattern Retrieval Using Relational Histograms

IEEE Transactions on Pattern Analysis and Machine Intelligence
Structural Matching in Computer Vision Using Probabilistic Relaxation

IEEE Transactions on Pattern Analysis and Machine Intelligence
Matching and Embedding through Edit-Union of Trees

ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
A Skeletal Measure of 2D Shape Similarity

IWVF-4 Proceedings of the 4th International Workshop on Visual Form
An Expectation-Maximisation Framework for Perceptual Grouping

IWVF-4 Proceedings of the 4th International Workshop on Visual Form
Object Recognition from Large Structural Libraries

SSPR '98/SPR '98 Proceedings of the Joint IAPR International Workshops on Advances in Pattern Recognition
Efficiently Computing Weighted Tree Edit Distance Using Relaxation Labeling

EMMCVPR '01 Proceedings of the Third International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition
A Maximum Likelihood Framework for Grouping and Segmentation

EMMCVPR '01 Proceedings of the Third International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition
Structural Constraints for Pose Clustering

CAIP '99 Proceedings of the 8th International Conference on Computer Analysis of Images and Patterns
Relational Constraints for Point Distribution Models

CAIP '01 Proceedings of the 9th International Conference on Computer Analysis of Images and Patterns
Discovering Shape Categories by Clustering Shock Trees

CAIP '01 Proceedings of the 9th International Conference on Computer Analysis of Images and Patterns
Fuzzy Relational Distance for Large-Scale Object Recognition

CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Empirical Modelling of Genetic Algorithms

Evolutionary Computation
Replicator Equations, Maximal Cliques, and Graph Isomorphism

Neural Computation
The Representation and Matching of Pictorial Structures

IEEE Transactions on Computers
Polyhedral object recognition by indexing

Pattern Recognition

Symbols Recognition by Global-Local Structural Approaches, Based on the Scenarios Use, and with a XML Representation of Data

ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Graphical Models and Point Pattern Matching

IEEE Transactions on Pattern Analysis and Machine Intelligence
Semantic Reasoning for Scene Interpretation

Cognitive Vision
Graph edit distance with node splitting and merging, and its application to diatom identification

GbRPR'03 Proceedings of the 4th IAPR international conference on Graph based representations in pattern recognition
Graphical models for graph matching

CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper provides an overview of our joint work on graph-matching. We commence by reviewing the literature which has motivated this work. We then proceed to review our contributions under the headings of 1) the probabilistic framework, 2) search and optimisation, 3) matrix methods, 4) segmentation and grouping, 5) learning and 6) applications.