Earticle

초록

영어

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.

목차

Abstract
 1. Summary 
 2. Extraction Method of Multi -Scale Curve Skeleton
  2.1 The Main Idea and the Procedure Of The Algorithm 
  2.2 Determine the Critical Point
  2.3 Vector Search Algorithm
  2.4 Multi-Level Linear Skeleton Extraction
  2.5 The Algorithm Flow
 3. The Algorithm Analysis and Experiment212 
  3.1 Time Complexity
  3.2 The Classification and Retrieval Of 3D Model Library
 4. Conclusion
 Acknowledgment
 References

키워드

저자

• Sun Ting [ College of Computer Science and Technology, Zhoukou Normal UNiversity, Zhoukou, China, Institute of Visualization Technology, Northwest University, Xi'an, China ]
• Zhou Wen-Gang [ College of Computer Science and Technology, Zhoukou Normal UNiversity, Zhoukou, China ]
• Geng Guo-Huo [ Institute of Visualization Technology, Northwest University, Xi'an, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605