A Curve-Skeleton Extraction Algorithm Based On Vector Fields for 3D Model Retrieval

نویسندگان

  • Sun Ting
  • Geng Guo-Hua
چکیده

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.

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تاریخ انتشار 2015