Torsello / Escolano Ruiz / Brun Graph-Based Representations in Pattern Recognition

7th IAPR-TC-15 International Workshop, GbRPR 2009, Venice, Italy, May 26-28, 2009. Proceedings
2009
ISBN: 978-3-642-02124-4
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 378 Seiten, eBook

Reihe: Image Processing, Computer Vision, Pattern Recognition, and Graphics

Zielgruppe

Research

Autoren/Hrsg.

Torsello, Andrea

Escolano Ruiz, Francisco

Brun, Luc

Inhaltsverzeichnis

Graph-Based Representation and Recognition.- Matching Hierarchies of Deformable Shapes.- Edition within a Graph Kernel Framework for Shape Recognition.- Coarse-to-Fine Matching of Shapes Using Disconnected Skeletons by Learning Class-Specific Boundary Deformations.- An Optimisation-Based Approach to Mesh Smoothing: Reformulation and Extensions.- Graph-Based Representation of Symbolic Musical Data.- Graph-Based Analysis of Nasopharyngeal Carcinoma with Bayesian Network Learning Methods.- Computing and Visualizing a Graph-Based Decomposition for Non-manifold Shapes.- A Graph Based Data Model for Graphics Interpretation.- Tracking Objects beyond Rigid Motion.- Graph-Based Registration of Partial Images of City Maps Using Geometric Hashing.- Graph Matching.- A Polynomial Algorithm for Submap Isomorphism.- A Recursive Embedding Approach to Median Graph Computation.- Efficient Suboptimal Graph Isomorphism.- Homeomorphic Alignment of Edge-Weighted Trees.- Inexact Matching of Large and Sparse Graphs Using Laplacian Eigenvectors.- Graph Matching Based on Node Signatures.- A Structural and Semantic Probabilistic Model for Matching and Representing a Set of Graphs.- Arc-Consistency Checking with Bilevel Constraints: An Optimization.- Graph Clustering and Classification.- Pairwise Similarity Propagation Based Graph Clustering for Scalable Object Indexing and Retrieval.- A Learning Algorithm for the Optimum-Path Forest Classifier.- Improving Graph Classification by Isomap.- On Computing Canonical Subsets of Graph-Based Behavioral Representations.- Object Detection by Keygraph Classification.- Graph Regularisation Using Gaussian Curvature.- Characteristic Polynomial Analysis on Matrix Representations of Graphs.- Flow Complexity: Fast Polytopal Graph Complexity and 3D Object Clustering.- Pyramids, Combinatorial Maps, and Homologies.- Irregular Graph Pyramids and Representative Cocycles of Cohomology Generators.- Annotated Contraction Kernels for Interactive Image Segmentation.- 3D Topological Map Extraction from Oriented Boundary Graph.- An Irregular Pyramid for Multi-scale Analysis of Objects and Their Parts.- A First Step toward Combinatorial Pyramids in n-D Spaces.- Cell AT-Models for Digital Volumes.- From Random to Hierarchical Data through an Irregular Pyramidal Structure.- Graph-Based Segmentation.- Electric Field Theory Motivated Graph Construction for Optimal Medical Image Segmentation.- Texture Segmentation by Contractive Decomposition and Planar Grouping.- Image Segmentation Using Graph Representations and Local Appearance and Shape Models.- Comparison of Perceptual Grouping Criteria within an Integrated Hierarchical Framework.