Affiliation:
1. Guilin University of Electronic Technology
2. Guilin College of Aerospace Technology
Abstract
Radius Angle Histogram (RAH) is useful method of retrieving 3D mechanical models. This method, however, not completely uses the information of radius angle histogram of the model. As a result, the retrieval precision is not very high enough. To improve the retrieval efficiency, K-means clustering method (KMM) is proposed in this paper. The radius angle histograms of the models are established first and then be served as inputs as KMM, respectively. By using KMM, the models can be classified and the results can be obtained. To validate the proposed method, an experiment is given. The results show that the retrieval precision of the proposed method is higher than that of single using RAH method.
Publisher
Trans Tech Publications, Ltd.
Reference8 articles.
1. Michael. M. Kazhdan: Doctor Thesis of Princeton University, Princeton, U.S. (2004).
2. Arman. F and Aggarwal. J: ACM Computing Surveys, Vol. 1 (1993), pp.5-43.
3. Osada. R. et al: ACM Transaction on Graphics, Vol. 21 (2002), pp.807-832.
4. Xiang Pan: Doctor Thesis of Zhejiang University, Hangzhou, China. (In Chinese) (2005).
5. Meifa Huang and Hui Jing: Virtual and Physical Prototyping, Vol. 2 (2009), pp.105-112.
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献