대한전기학회논문지:시스템및제어부문D (The Transactions of the Korean Institute of Electrical Engineers D)

대한전기학회 (The Korean Institute of Electrical Engineers)
권호 표지

선 대응 기법을 이용한 카메라 교정파라미터 추정

Estimation of Camera Calibration Parameters using Line Corresponding Method

  • 최성구 (전북과학대학 정보통신계열) ;
  • 고현민 (동경공업대학 제어시스템공학과) ;
  • 노도환 (전북대학 전기공학과)
  • 발행 : 2003.10.01
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

Computer vision system is broadly adapted like as autonomous vehicle system, product line inspection, etc., because it has merits which can deal with environment flexibly. However, for applying it for that industry, it has to clear the problem that recognize position parameter of itself. So that computer vision system stands in need of camera calibration to solve that. Camera calibration consists of the intrinsic parameter which describe electrical and optical characteristics and the extrinsic parameter which express the pose and the position of camera. And these parameters have to be reorganized as the environment changes. In traditional methods, however, camera calibration was achieved at off-line condition so that estimation of parameters is in need again. In this paper, we propose a method to the calibration of camera using line correspondence in image sequence varied environment. This method complements the corresponding errors of the point corresponding method statistically by the extraction of line. The line corresponding method is strong by varying environment. Experimental results show that the error of parameter estimated is within 1% and those is effective.

키워드

참고문헌

  1. R. M. Haralick, 'Using perspective transformations in scene analysis.', Computer Graphics and Image processing, Vol.13,pp.191-221,1980 https://doi.org/10.1016/0146-664X(80)90046-5
  2. 최성구, 정준익, 노도환, '무한원점을 이용한 주행방향 추정과 장애물 검출', 대한전자공학회논문집, Vol.34-S-1, pp. 499-504,1997
  3. 최성구, 노도환, '정방형 교정 frame을 이용한 카메라의 교정파라미터 추정에 관한 연구', 대한전자공학회 논문집, Vol. 33-D, No.7, 1996
  4. 최성구, 고현민, 노도환, '점 대응 기법을 이용한 카메라의 교정 파라미터 추정에 관한 연구', 대한전기학회 논문집, Vol. 50D, No 4, pp. 161-167, 2001
  5. 大森隆司, '立體視', 計測と製御, Vol.26, No.4, pp. 352-356 1987
  6. 中谷, 北橋, '無限遠点により3面頂点形狀に加わる拘束物體', 電子通信學會論文誌, Vol. J65-D, No. 10, pp.1273-1279, Oct. 1982
  7. 金谷, '3-Dユ-クリシドガ2-D非ユ-クリシドガ-面像理解 の方法論', 電子通信學會論文誌, Vol. 70-D, No.5, pp. 1035-1038, May.1987
  8. M. J Magee. and J K. Aggarwal, 'Determining vanishing points from perspective images.', Computer Vision, Graphics and Image processing, 26, pp.256-267,1984 https://doi.org/10.1016/0734-189X(84)90188-9
  9. B. Caprile and V. Torre, 'Using vanishing points for camera calibration.', International Journal Of Computer Vision, 4, pp. 127-140,1990 https://doi.org/10.1007/BF00127813
  10. W. Chen and B. C. Jiang, '3-D camera calibration using vanishing point concept.', Pattern recognition, Vol. 24, No.1, pp.55-67, 1991 https://doi.org/10.1016/0031-3203(91)90116-M
  11. Chavand, F, Colle, E, Chekhar, Y, N'zi, E.C., '3-D measurements using a video camera and a range finder.', IEEE. Trans. on instrumentation and Measurement, Vol.46, No.6, pp.1229-1235, DEC,1997 https://doi.org/10.1109/19.668259
  12. R. Y. Tsai and R. K. Lenz, 'An efficient and accurate camera calibration technique for 3D machine,', Proc, IEEE comput. Soc. Conf. on Computer vision and PatternRecognition, pp. 22-26, June. Miami. FL. pp. 364-376, 1986
  13. Lai. J.Z.C.. 'On the sensitivity of camera. calibration.' Image and vision computing vol. 11, No 10 Dec. 1993 https://doi.org/10.1016/0262-8856(93)90061-K
  14. 김범진, 한영배, 최성구, 노도환, '추정된 카메라 내부파라미터를 이용한 Monocular Head-Eye System의 위치인식', 한국자동제어학술회의 논문집, vol. C. pp. 321-324. 1999