Research on Semantic-based 3D Model Retrieval

摘要：

In this paper,we present on the research of semanticbased 3D model retrieval system and its developed framework. We use RDF annotation to label 3D models for improving retrieval precision. The framework contains three parts: preprocessing,feature extraction and similarity measurement. The parts are recommended to analyze the 3D model. In the preprocessing part,we deploy PCA to make models normalization. In the feature extraction part,shape component and semantic component are used to construct an efficient 3D object retrieval scheme. In the last,similarity measurements,like Euclidean distance and quadratic form distance,compute the similarity distance between models. The developed framework is designed to improve the efficiency of 3D model retrieval system.

关键词： 3D model retrieval system similarity semantic-based

作者: Shan Peng Haisheng Li Xuan Liu Qiang Cai

作者单位: College of Computer and Information Engineering Beijing Technology and Business University Beijing,P. R. China

会议类型: 国际会议

会议名称: 2012 International Conference on Computer Science and Electronic Engineering(2012 IEEE计算机科学与电子工程国际会议 ICCSEE 2012)

会议地点: 杭州

会议语种:英文

页码: 235-238

在线出版日期: 2012-03-23（万方平台首次上网日期，不代表论文的发表时间）