Graph matching using a direct classification of node attendance

作者:

Highlights:

摘要

An algorithm has been developed that finds isomorphisms between both graphs and subgraphs. The development is introduced in the object recognition problem domain. The method isolates matching subgraphs, finds a node-to-node mapping and reorders nodes, thus permitting a direct comparison to be made between the resultant graphs. The algorithm is of polynomial order. It yields approximate results, maintaining a performance level for subgraph isomorphisms at or above 95% under a wide variety of conditions and with varying levels of noise. The performance on the full size comparisons associated with graph isomorphisms has been found to be 100100, also under a variety of conditions. Performance metrics, methods of testing and results are presented.

论文关键词:Direct classification,Graph isomorphism,Subgraph isomorphism,Graph matching,Object recognition

论文评审过程:Received 11 April 1995, Revised 20 September 1995, Available online 7 June 2001.

论文官网地址:https://doi.org/10.1016/0031-3203(95)00140-9