원문정보
보안공학연구지원센터(IJHIT)
International Journal of Hybrid Information Technology
Vol.8 No.9
2015.09
pp.329-338
피인용수 : 0건 (자료제공 : 네이버학술정보)
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
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
저자정보
참고문헌
자료제공 : 네이버학술정보