Most augmented reality (AR) applications in prepared environments implement illumination mechanisms between real and synthetic objects to achieve best results. This approach is beneficial to tracking technologies since additional visual cues provide seamless real-synthetic world integration. This research focuses on providing a projective illumination technique to aid augmented reality tracking technologies that work in unprepared environments where users are not allowed to modify the real environment, such as in outdoor applications. Here, we address the specific aspects of the common illumination problems such as efficient update of illumination for moving objects and camera calibration, rendering, and modeling of the real scene. Our framework aims to lead AR applications in unprepared environments with projective illumination regardless of the movement of real objects, lights and cameras.
목차
Abstract 1. Introduction 2. Related Works 3. Hybrid Tracking Algorithm 4. Implementation Design 5. Camera Calibration 6. Projective Illumination and Image Acquisition 7. Case Study 8. Conclusion References
보안공학연구지원센터(IJDTA) [Science & Engineering Research Support Center, Republic of Korea(IJDTA)]
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 Database Theory and Application
간기
격월간
pISSN
2005-4270
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Database Theory and Application vol.3 no.3