Paper Info
Title
Game-theoretic hypergraph matching with density enhancement
Abstract
•We present a game-theoretic hypergraph matching algorithm with a high matching accuracy.•We present a density based enhancement to increase the number of matches.•We show that the computation load can be reduced evidently with little influence on the number of matches and matching accuracy.•Experiments with synthetic and real datasets are conducted to validate the effectiveness of the proposed algorithm.
Year
DOI
Venue
2023
10.1016/j.patcog.2022.109035
Pattern Recognition
Keywords
DocType
Volume
Feature matching,Hypergraph matching,Game-theoretic,Density enhancement
Journal
133
ISSN
Citations 
PageRank 
0031-3203
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Jian Hou112617.11
Huaqiang Yuan210711.47
Marcello Pelillo31888150.33