Local Topology Preserved Tensor Models for Graph Matching

This paper proposes local topology preserved features in graph matching problem based on tensor technique. Many tensor based works paid much attention on catching many invariant feature tuples while local information for every single point to improve matching performance is also important. Here our proposed Local Topology Preserved Tensor (LTPT) models not only take into account of the neighbor structure but also employ the three-order tensor technique to keep the geometric consistency. Extensive experiments on the synthetic and real datasets show that LTPT performs better than the state-of-the-art graph matching methods.