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Impact of Feature Positions on Focal Length Estimation of Self-Calibration  

Hong Yoo-Jung (이화여자대학교 정보통신학과 영상처리 연구실)
Lee Byung-Uk (이화여자대학교 정보통신학과)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.31, no.4C, 2006 , pp. 400-406 More about this Journal
Abstract
Knowledge of camera parameters, such as position, orientation and focal length, is essential to 3D information recovery or virtual object insertion. This paper analyzes the error sensitivity of focal length due to position error of feature points which are employed for self-calibration. We verify the dependency of the focal length on the distance from the principal point to feature points with simulations, and propose a criterion for feature selection to reduce the error sensitivity.
Keywords
focal length; self-calibration;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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1 김종수, 김태용, 최종수, '기하학 정보와 객체추출을 통한 실시간 높이 측정,' 한국통신학회논문지, Vol. 29, No. 12C, pp. 1652-1659, Dec. 2004
2 A. Ruiz, P.E. Lpez de Teruel, G. GarcaMateos, 'A Note on Principal Point Estimability,' Proceedings of the 16th International Conference on Pattern Recognition, pp. 304-307, Quebec, Canada, 2002
3 Richard I. Hartley, 'In Defence of the Eight-Point Algorithm,' IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 19. No. 6, pp. 580-593, June 1997   DOI   ScienceOn
4 Richard I. Hartley, 'Estimation of Relative Camera Positions for Uncalibrated Cameras,' ECCV, pp. 579-587, May 1992
5 R. I. Hartley, 'Kruppa's equations derived from the fundamental matrix,' IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 19, No. 2, pp. 133-135, February 1997   DOI   ScienceOn
6 Richard I. Hartley, Robert Kaucic, 'Sensitivity of Calibration to Principal Point Position,' EECV, pp. 433-446, May 2002
7 오인환, 윤용인, 최종수, '비 교정 영상에서의 영상합성을 위한 카메라 정보 복원에 관한 연구,' 한국통신학회논문지, Vol. 29, No. 2C, pp. 229-237, Feb. 2004
8 Richard I. Hartley, 'Extraction of focal lengths from the fundamental matrix,' Technical report, G.B. CRD, Sch- enectady, NY, 1993
9 R. Hartley, A. Zisserman, Multiple View Geometry in Computer Vision, Cambridge University Press, 2000
10 S. Bougnou, 'Projective to Euclidean space under any practical situation, a criticism of self-calibration,' In Proceedings of the 6th International Conference on Computer Vision, Bombay, India, pp. 790-796, January 1998