Model similarity measurement is an important problem in retrieval of CAD models. In order to compute the similarity degree between two models correctly, a method of model similarity evaluation based on face match is proposed in this paper. Here, face adjacent graph is adopted to describe topological structures in model and construct the face matching matrix between two models. At the same time, greedy algorithm is applied to compute the similarity between these two models. In experiments, the proposed method is used to measure the similarity degree between target model and source model. Experimental results show that the method can evaluate the difference of models efficiently.
목차
Abstract 1. Introduction 2. Match Source Face and Target Face based on Greedy Strategy 3. Calculate the Similarity of Models 4. Experiment 5. Conclusions Acknowledgements References
키워드
model similarityface adjacent graphface matching matrixgreedy algorithm
저자
Xue-Yao Gao [ School of Computer Science and Technology, Harbin University of Science and Technology, Harbin 150080, China ]
Chun-Xiang Zhang [ School of Software, Harbin University of Science and Technology, Harbin 150080, China ]
Zhi-Mao Lu [ School of Computer Science and Technology, Dalian University of Technology, Dalian 116024, China ]
보안공학연구지원센터(IJCA) [Science & Engineering Research Support Center, Republic of Korea(IJCA)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Control and Automation
간기
월간
pISSN
2005-4297
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Control and Automation Vol.8 No.2