首页    期刊浏览 2024年11月27日 星期三
登录注册

文章基本信息

  • 标题:A Curve-Skeleton Extraction Algorithm based on Vector Fields for 3D Model Retrieval
  • 本地全文:下载
  • 作者:Sun Ting ; Zhou Wen-Gang ; Geng Guo-Hua
  • 期刊名称:International Journal of Hybrid Information Technology
  • 印刷版ISSN:1738-9968
  • 出版年度:2015
  • 卷号:8
  • 期号:9
  • 页码:329-338
  • DOI:10.14257/ijhit.2015.8.9.30
  • 出版社:SERSC
  • 摘要:Feature extraction is a key issue for 3d model retrieval. A novel architecture to extract the curve-skeleton of 3d model is introduced. The algorithm firstly calculates the 3D vector fields of models represented by discrete unit, and then extracts the hierarchical curve-skeleton based on topological features of the critical curve and critical points of the vector fields. The similarity among 3D curve-skeletons is measured by using an improved Earth Mover's Distance (EMD) algorithm. The curve-skeleton extracted with this novel algorithm can be used to categorize models and implement global matching and partial matching.
  • 关键词:3d Model Retrieval ; ; ; Feature Extraction ; ; ; Curve-Skeleton
国家哲学社会科学文献中心版权所有