首先直接基于网络的物理拓扑结构来构建一种分布式哈希表，从而有效地消除了现有DHT方案的拓扑结构不匹配问题。
The scheme firstly builds a distributed hash table based on the physical topology of network, so that the topology mismatch problem of conventional DHT schemes can be eliminated.
平衡二叉树和半边匹配数据结构的引入，提高了拓扑信息重建的速度。
The execution rate of topological reconstruction is enhanced by introducing the AVL tree and half edge data structure.
最后将物体图像的拓扑结构信息和几何信息与模型库中模型物体的拓扑结构信息和几何信息匹配，从而达到识别的目的。
At last, match the information of topology and geometry of the object images with that of the model objects in the model base to recognize.
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