인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
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
- 학술저널
- 저자정보
- 저널정보
- 중앙대학교 영상콘텐츠융합연구소 TECHART: Journal of Arts and Imaging Science TECHART: Journal of Arts and Imaging Science Vol.3 No.1
- 발행연도
- 2016.2
- 수록면
- 38 - 42 (5page)
- DOI
- 10.15323/techart.2016.02.3.1.38
이용수
초록· 키워드
Camera calibration is one of the essential techniques in the 3D computer vision field. Through calibration, the distortion problem can be solved with registration and by acquiring the intrinsic and extrinsic parameters of the camera. In this study, we use and develop more realistic contents through color information and image quality that is obtained by projecting multi-view images without distortion. These images are projected from a multi-projector to a screen. The proposed method solves the distortion problem that occurs when projecting an image to a screen using multi-projector projection. The no distortion reference image is built and projected by a multi-projector onto a screen with registration of the distortion target image and reference image by estimating the homography that shows the relationship between the reference image and distorted target image. In the experimental results, the images projected by the multi-projector are better than those projected by a single projector with respect to resolution and color. Further, the test environment consists of server/client and it can be projected without any distortion to a screen, regardless of the number of projectors.
상세정보 수정요청해당 페이지 내 제목·저자·목차·페이지정보가 잘못된 경우 알려주세요!
목차
- Abstract
- 1. Introduction
- 2. Proposed method
- 3. Experimental Results
- 4. Conclusion
- References
참고문헌
참고문헌 신청최근 본 자료
UCI(KEPA) : I410-ECN-0101-2016-688-002733154
