三维网格模型增量式聚类检索

针对大规模三维网格模型库中的形状检索问题，提出了基于增量式聚类的三维形状描述和检索方法。首先根据三维模型的曲率分布直方图提取特征点得到特征向量;然后根据特征向量描述建立模型库的关键词词典;在特征 匹配阶段基于增量聚类方法判断目标模型的特征向量是否属于某一个关键词，并根据增量聚类的结果更新检索关键词词典;最后匹配特征向量检索模型库中与目标模型形状相同和相近的三维网格模型。相关实验结果证明了该方法快速有效，具有较高的准确性。

3D Mesh Model Retrieval Using Incremental Clustering

For the model retrieve of largcscale threcdimensional inefficiency, this paper presented a threcdimensional model retrieval method based on the idea of incremental clustering. Firstly, for the models among the model base, constructed a retrieval words codebook. Then extracted the feature points to attain the feature vector of models according to the feature histogram,after that,followed by an incremental clustering method and update retrieval words codebook. Finally,a feature vector matching method was used to determine whether the model base contains the models which is related to the target model. Experimental results show that our implementation can get the retrieval result rapidly and precisely.