文章基本信息

标题：A Curve-Skeleton Extraction Algorithm based on Vector Fields for 3D Model Retrieval
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作者：Sun Ting ; Zhou Wen-Gang ; Geng Guo-Hua 等
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