Image analysis by accumulative Hopfield matching
Wen J. Li, Tong Lee, Hung-Tat Tsui · 2002
In this paper, a novel image analysis system based on attributed relational graph matching is proposed, which is called accumulative Hopfield matching. We first divide the scene graph into many sub-graphs, and a modified Hopfield network is then constructed to obtain the sub-graph isomorphism between each sub-scene graph and model graph. The final result is deduced by accumulating the solutions of all small subnetworks. The proposed system was applied to automatic object recognition and modeling of articulated objects with good results.