Integrating the Users Semantic Features with Content- based 3D Model Retrieval

摘要：

Content-based 3D model retrieval technology has become one of the hottest research spots. In order to improving the performance of retrieval, this paper proposed a method which based on the distribution surface area of 3D model and integrating with users semantic features, we conducted retrieval experiments, the results shown that the retrieval accuracy and efficiency are both improved.

关键词： 3D Model Retrieval Content-based retrieval area distribution based retrieval similarity matching

作者: Luo Siqing

作者单位: College of Information and Computer Engineering Northeast Forestry University Harbin, China

会议类型: 国际会议

会议名称: 2010 International Conference on Computer and Communication Technologies in Agriculture Engineering(计算机与通信技术在农业工程国际会议 CCTAE 2010)

会议地点: 成都

会议语种:英文

页码: 121-123

在线出版日期: 2010-06-12（万方平台首次上网日期，不代表论文的发表时间）