ICROS (제어로봇시스템학회지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
권호 표지

Optical Flow 추정

  • Published : 1996.11.01
Download PDF
⟨ Previous Next ⟩

Abstract

본 논문에서는 optical flow 추정과 그 문제점에 대하여 기술하였다. 이 문제를 해결하기 위한 대표적인 방법으로 regularizaiton기법에 대하여 설명하고 이의 변형에 대하여 기술하였다. 또한 최근에 활발히 연구되고 있는 robust 통계학을 이용한 움직임 추정 및 계층적 기법에 대하여 기술하였다. 또한 두 개의 합성 영상에 대하여 optical flow 추정결과를 보였다. Optical flow는 여러 가지 컴퓨터 비젼문제의 기본 정보를 제공함에도 불구하고, 문제 자체가 ill-posed 문제이어서 아직까지도 효과적인 방법이 제안되어 있지 않아 앞으로도 많은 연구가 진행될 것으로 생각된다.

Keywords

References

  1. Proc. IEEE v.76 no.8 On the computation of motion sequences of images A review J.K.Aggarwal;N.Nandhakumar
  2. IEEE Proc. v.136 no.6 Review of motion analysis techniques J.F.Vega Riveros;K.Jabbour
  3. IEEE Trans. Pattern Anal. Machine Intell. v.PAMI 7 no.4 Determining three dimensional motion and structure from optical flow generated by several moving objects G.Adiv
  4. IEEE Trnas. Pattern Anal. Machine Intell. v.PAMI 2 no.4 Disparity analysis of images S.T.Barnard;W.B.Thompson
  5. Pattern Recognition v.16 no.2 Some experiments in relaxation image matching using corner features C.Y.Wang;H.Sun;S.Yada;A.Rosenfeld
  6. Comput. Vision, Graphics, Image Process. v.21 no.3 Detection of moving edges S.M.Haynes;R.Jain
  7. Artif. Intell. v.17 Determining optical flow B.K.P.Horn;B.G.Schunck
  8. Computer. Vision, Graphics, Image Process. v.21 no.2 Determining velocity maps by spatio temporal neighborhoods from image sequences M.Yachida
  9. Ph, D. dissertation, Dept. of Computer and Information Science, University of Massachusetts Hierarchical Motion Detection F.C.Glazer
  10. Computer. Vision, Graphics, Image Process v.21 no.1 Displacement vectors derived from second order intensity variations in image sequences H.H.Nagel
  11. IEEE Trans. Pattern Anal. Machine Intell. v.PAMI 8 no.5 An investigation of smoothness constraints for the estimation of displacement vector fields from image sequences H.H.Nagel;W.Enkelmann
  12. Comput. Vision, Graphics, Image Process. v.21 no.2 A spatio temporal gradient method for estimating the displacement field in time varying imagery R.Paquin;E.Dubois
  13. The Measurement of Visual Motion E.C.Hidreth
  14. Pattern Recognition v.20 no.2 Experiments in computing optical flow with the gradient based, multiconstraint method A.Mitiche;Y.F.Wang;J.K.Aggarwal
  15. 한국정보과학회 논문지 v.9 no.6 확률 모형을 이용한 옵티컬 플로우의 계산 김창익;우운택;정홍
  16. Data Fusion for Sensory Information Processing Systems J.J.Clark;A.L.Yuille
  17. Proc. 4th Int. Conf. Comput. Vision Robust computation of optical flow in a multi scale differential framework J.Weber;J.Malik
  18. Proc. 4th Int. Conf. Comput. Vision A framework for the robust estimation of optical flow M.J.Black;P.Anandan
  19. Proc. IEEE Conf. Comput. Vision Pattern Recognition Robust motion analysis M.Bober;J.Kittler
  20. 제8회 영상처리 및 이해에 관한 워크샵 발표 논문집 강인한 회귀방법에 의한 영상운동의 추정 이광호;원광연
  21. 대한전자공학회논문지 v.32;B편 no.3 계층적 Hopfield 신경 회로망을 이용한 optical flow 추정 김문갑;진성일
  22. IEEE Trans. Pattern Anal. Machine Intell. v.PAMI-8 no.2 Image analysis using multigrid relaxation methods D.Terzopoulos
  23. Int. J. Computer Vision v.6 no.2 Computing optical flow across multiple scales : An adaptive coarse to fine strategy R.Battiti;E.Amaldi;C.Koch
  24. Pattern Recognition v.26 no.6 A hierarchical optical flow estimation algorithm based on the interlevel motion smoothness constraint S.H.Hwang;S.U.Lee
  25. 한국통신학회 논문지 v.21 no.4 범함수 정의역 분할에 바탕을 둔 비선형 계층적 움직임 추정기법 심동규;박래홍
  26. Journal Visual Commun. Image Representation v.7 no.3 Anisotropic hiearchical motion estimation method based on decomposition of the functional domain D.G.Sim;r.H.Park
  27. Int. J. Computer Vision v.12 no.1 System and experiment : Performance of optical flow techniques J.L.Barron;D.J.Fleet;S.S.Beauchemin
  28. IEEE Trans. Pattern Anal. Machine Intell. v.PAMI 12 no.7 Scale space and edge detection using anisotropic diffusion P.Perona;J.Malik
  29. 전자공학회 논문지 v.31;B편 no.12 특징정합과 순환적 모듈융합에 의한 움직임 추정 심동규;박래홍
  30. Computer Vision and Image Understanding A tow stage algorithm for motion discontinuity preserving optical flow estimation D.G.Sim;R.H.Park
  31. IEEE Trans. Pattern Anal. Machine Intell. v.PAMI 16 no.5 Robust estimation for range image segmentation and reconstruction X.Yu;T.D.Bui;A.Krzy ak
  32. IEEE Trans. Acoustics, Speech, Signal Process. v.ASSP 36 no.8 Robust image modeling techniques with an image restoration application R.L.Kashyap;K.B.Eom
  33. Nonlinear Digital Filters I.Pitas;A.N.Venetsanopoulos
  34. Int. Journ. Computer Vision v.6 no.1 Robust regression methods for computer vision : A review P.Meer;D.Mintz;A.Rosenfeld
  35. 한국통신학회 논문지 v.20 no.4 Robust MAP 움직임 추정 심동규;박래홍
  36. IEEE Trans. Pattern Anal. Machine Intell. Robust reweighted MAP motion estimation D.G.Sim;R.H.Park