可分配的一致多对象匹配

Nov, 2016

Distributable Consistent Multi-Graph Matching

Nan Hu, Boris Thibert, Leonidas Guibas

TL;DR本文提出了一种基于优化的框架来进行多目标匹配，并将输入分成重叠子集并在每个子集中强制实现地图一致性，从而实现分布式制定。实验结果表明，该框架在合成和真实世界数据集上与最先进的多目标匹配技术相比具有竞争力。

Abstract

In this paper we propose an optimization-based framework to multiple graph matching. The framework takes as input maps computed between pairs of graphs, and outputs maps that 1) are consistent among all pairs of graphs, and 2) preserve edge connectivity between pairs of graphs. We show