Three dimensional computer animation and motion simulation is an important means of technical analysis and diagnosis of sports training techniques. Springboard diving simulation system is researched in this paper by using three-dimensional computer assisted animation, and the human body model suitable of the system is established. Then we used free deformation method based on NURBS deformed to achieve the body's joint movement. Three-dimensional human body model and its motion model are established in the computer by introducing computational geometry. At last, the simulation system is realized by using OpenGL graphical programming interface, and the position difference simulation of the platform is carried out in the system. The visual effect and real-time motion of the human body model is performance good in this paper, and it has a high application value to the guiding practice.
목차
Abstract 1. Introduction 2. Application of Computational Geometry in Diving Simulation System 2.1. Computational Geometry Overview 2.2. The Three-Dimensional Human Body Model 3. Research on Modeling Motion Control in the Simulation System of Diving 3.1. Springboard Diving Model 3.2. Human Body Motion Model 4. Realization of Diving Simulation System by OpenGL 5. Conclusion References
키워드
three-dimensional animationcomputer assisteddiving simulation systemhuman body model
저자
Donglei Hou [ North China Electric Power University Department of Physical Education, Baoding, Hebei, China ]
보안공학연구지원센터(IJSIP) [Science & Engineering Research Support Center, Republic of Korea(IJSIP)]
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 Signal Processing, Image Processing and Pattern Recognition
간기
격월간
pISSN
2005-4254
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Signal Processing, Image Processing and Pattern Recognition Vol.9 No.12