지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2013.12
- 수록면
- 31 - 34 (4page)
이용수
초록· 키워드
오류제보하기
There is a need to improve the formation identification of ARToolKit while studying to use it as a tool in navigation. The proposed algorithm has the following improvements: (i) remove wrong identification of markers by removing the need to know beforehand the location and orientation of markers in formation, (ii) accurate representation of identified formations, (iii) not limited to relative position and distances between markers in formation, (iv) can work on formations with similar or varying marker patterns. It was successfully tested on static-fixed formations of markers as well as scattered random markers with similar and varying marker patterns.
목차
Abstract
1. 서론
2. Augmented Reality ARToolKit
3. Proposed Pattern Marker Formation Detection
4. Implementation and Results
5. Conclusion
참고문헌
참고문헌 (0)
참고문헌 신청이 논문의 저자 정보
최근 본 자료
댓글(0)
0
UCI(KEPA) : I410-ECN-0101-2017-003-000673901