메뉴 건너뛰기




Volumn , Issue , 2011, Pages 2391-2398

Optical flow estimation using learned sparse model

Author keywords

[No Author keywords available]

Indexed keywords

ENERGY MINIMIZATION PROBLEM; FIRST-ORDER; FLOW ESTIMATION; HIGHER ORDER; ILL POSED PROBLEM; INTERMEDIATE FLOW; LEARNING-BASED APPROACH; MULTISCALES; OPTICAL FLOW ESTIMATION; SEQUENTIAL OPTIMIZATION; SPATIAL CONSTRAINTS;

EID: 84863070418     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2011.6126522     Document Type: Conference Paper
Times cited : (42)

References (32)
  • 2
    • 0029772518 scopus 로고    scopus 로고
    • The robust estimation of multiple motions: Parametric and piecewise-smooth flow fields
    • 1,3
    • M.J. Black and P. Anandan, The robust estimation of multiple motions: Parametric and piecewise-smooth flow fields, CVIU, 63(1):75-104, 1996. 1, 3
    • (1996) CVIU , vol.63 , Issue.1 , pp. 75-104
    • Black, M.J.1    Anandan, P.2
  • 3
    • 0024057651 scopus 로고
    • Ill-posed problems in early vision
    • 1
    • M. Bertero, T.A. Poggio, and V. Torre, Ill-posed problems in early vision, Proc. of the IEEE, 76(8):869-889, 1988. 1
    • (1988) Proc. of the IEEE , vol.76 , Issue.8 , pp. 869-889
    • Bertero, M.1    Poggio, T.A.2    Torre, V.3
  • 4
    • 35048833329 scopus 로고    scopus 로고
    • High accuracy optical flow estimation based on a theory for warping
    • 1, 4
    • T. Brox, A. Bruhn, N. Papenberg, and J. Weickert, High accuracy optical flow estimation based on a theory for warping, Proc. of ECCV, pp. 25-36, 2004. 1, 4
    • (2004) Proc. of ECCV , pp. 25-36
    • Brox, T.1    Bruhn, A.2    Papenberg, N.3    Weickert, J.4
  • 5
    • 51949102979 scopus 로고    scopus 로고
    • FusionFlow: Discretecontinuous optimization for optical flow estimation
    • 1
    • V. Lempitsky, S. Roth, and C. Rother, FusionFlow: Discretecontinuous optimization for optical flow estimation, Proc. of CVPR, 2008. 1
    • (2008) Proc. of CVPR
    • Lempitsky, V.1    Roth, S.2    Rother, C.3
  • 7
    • 77955989832 scopus 로고    scopus 로고
    • Secrets of optical flow estimation and their principles
    • 2, 3, 5, 6
    • D. Sun, S. Roth, and M. Black, Secrets of optical flow estimation and their principles, 7 Proc. of CVPR, 2010. 2, 3, 5, 6,
    • (2010) Proc. of CVPR
    • Sun, D.1    Roth, S.2    Black, M.3
  • 8
    • 85161961413 scopus 로고    scopus 로고
    • Layered image motion with explicit occlusions, temporal consistency, and depth ordering
    • 7
    • D. Sun, E. Sudderth, and M.J. Black, Layered Image Motion with Explicit Occlusions, Temporal Consistency, and Depth Ordering, NIPS, 2010. 7
    • (2010) NIPS
    • Sun, D.1    Sudderth, E.2    Black, M.J.3
  • 10
    • 38349007037 scopus 로고    scopus 로고
    • A duality based approach for realtime TV-L1 optical flow
    • 1,4
    • C. Zach, T. Pock, and H. Bischof, A duality based approach for realtime TV-L1 optical flow, Proc. of Pattern Recognition, DAGM, pp. 214-223, 2007. 1, 4
    • (2007) Proc. of Pattern Recognition, DAGM , pp. 214-223
    • Zach, C.1    Pock, T.2    Bischof, H.3
  • 12
    • 44049111982 scopus 로고
    • Nonlinear total variation based noise removal algorithms
    • 6
    • L. Rudin, S.J. Osher, and E. Fatemi, Nonlinear total variation based noise removal algorithms, Physica D, 60:259-268, 1992. 6
    • (1992) Physica D , vol.60 , pp. 259-268
    • Rudin, L.1    Osher, S.J.2    Fatemi, E.3
  • 13
    • 77953209139 scopus 로고    scopus 로고
    • Structureand motion-adaptive regularization for high accuracy optic flow
    • 1,5
    • A. Wedel, D. Cremers, T. Pock, and H. Bischof, Structureand motion-adaptive regularization for high accuracy optic flow, Proc. of ICCV, 2009. 1, 5
    • (2009) Proc. of ICCV
    • Wedel, A.1    Cremers, D.2    Pock, T.3    Bischof, H.4
  • 14
    • 77955995204 scopus 로고    scopus 로고
    • Motion detail preserving optical flow estimation
    • 5
    • L. Xu, J. Jia, and Y. Matsushita, Motion detail preserving optical flow estimation, Proc. of CVPR, 2010. 5
    • (2010) Proc. of CVPR
    • Xu, L.1    Jia, J.2    Matsushita, Y.3
  • 15
    • 85094804295 scopus 로고    scopus 로고
    • Motion detail preserving optical flow estimation
    • 7
    • L. Xu, J. Jia, and Y. Matsushita, Motion detail preserving optical flow estimation, Submitted to PAMI, 2010. 7
    • (2010) Submitted to PAMI
    • Xu, L.1    Jia, J.2    Matsushita, Y.3
  • 17
    • 77955994781 scopus 로고    scopus 로고
    • Motion estimation with non-local total variation regularization
    • 1, 2, 3, 5, 7
    • M. Werlberger, T. Pock, and H. Bischof, Motion estimation with non-local total variation regularization, Proc. of CVPR, 2010. 1, 2, 3, 5, 7
    • (2010) Proc. of CVPR
    • Werlberger, M.1    Pock, T.2    Bischof, H.3
  • 18
    • 33645367215 scopus 로고    scopus 로고
    • On the spatial statistics of optical flow
    • 1, 2, 7
    • S. Roth and M. J. Black, On the spatial statistics of optical flow, Proc. of ICCV, 2005. 1, 2, 7
    • (2005) Proc. of ICCV
    • Roth, S.1    Black, M.J.2
  • 19
    • 77956004231 scopus 로고    scopus 로고
    • Optical flow estimation with adaptive convolution kernel prior on discrete framework
    • 2, 3, 7
    • K. Lee, D. Kwon, I. Yun, and S. Lee, Optical flow estimation with adaptive convolution kernel prior on discrete framework, Proc. of CVPR, 2010. 2, 3, 7
    • (2010) Proc. of CVPR
    • Lee, K.1    Kwon, D.2    Yun, I.3    Lee, S.4
  • 21
    • 0032319446 scopus 로고    scopus 로고
    • Bilateral Filtering for Gray and Color Images
    • 2,5
    • C. Tomasi and R. Manduchi, Bilateral Filtering for Gray and Color Images, Proc. of ICCV, 1998. 2, 5
    • (1998) Proc. of ICCV
    • Tomasi, C.1    Manduchi, R.2
  • 22
    • 33751379736 scopus 로고    scopus 로고
    • Image denoising via sparse and redundant representations over learned dictionaries
    • 2, 3
    • M. Elad and M. Aharon, Image denoising via sparse and redundant representations over learned dictionaries, IEEE Trans. on TIP, 54(12), pp. 3736-3745, 2006. 2, 3
    • (2006) IEEE Trans. on TIP , vol.54 , Issue.12 , pp. 3736-3745
    • Elad, M.1    Aharon, M.2
  • 23
    • 39149089704 scopus 로고    scopus 로고
    • Sparse representation for color image restoration
    • 2, 3
    • J. Mairal, M. Elad, and G. Sapiro, Sparse representation for color image restoration, IEEE Trans. on TIP, 17(1), pp. 53-69, 2008. 2, 3
    • (2008) IEEE Trans. on TIP , vol.17 , Issue.1 , pp. 53-69
    • Mairal, J.1    Elad, M.2    Sapiro, G.3
  • 25
    • 0019647180 scopus 로고
    • An iterative image registration technique with an application to stereo vision
    • 2,3
    • B. Lucas and T. Kanade, An iterative image registration technique with an application to stereo vision, Proc. of IJCAI, pp. 674-679, 1981. 2, 3
    • (1981) Proc. of IJCAI , pp. 674-679
    • Lucas, B.1    Kanade, T.2
  • 27
    • 6944257066 scopus 로고    scopus 로고
    • Lucas/Kanade meets Horn/Schunck: Combining local and global optic flow methods
    • 2
    • A. Bruhn, J. Weickert, and C. Schnorr, Lucas/Kanade meets Horn/Schunck: combining local and global optic flow methods, IJCV, 63(3), 2005. 2
    • (2005) IJCV , vol.63 , Issue.3
    • Bruhn, A.1    Weickert, J.2    Schnorr, C.3
  • 28
    • 77955991166 scopus 로고    scopus 로고
    • Sparsity model for robust optical flow e3s,t4imation at motion discontinuities
    • 2
    • X. Shen and Y. Wu, Sparsity model for robust optical flow e3s,t4imation at motion discontinuities, Proc. of CVPR, 2010. 2,
    • Proc. of CVPR , vol.2010
    • Shen, X.1    Wu, Y.2
  • 30
    • 70349211664 scopus 로고    scopus 로고
    • Dense Error Correction via L1-Minimization
    • 5
    • J. Wright and Y. Ma, Dense Error Correction via L1-Minimization, IEEE Trans. Info. Theory, 2009. 5
    • (2009) IEEE Trans. Info. Theor
    • Wright, J.1    Ma, Y.2
  • 31
    • 84864036295 scopus 로고    scopus 로고
    • Efficient sparse coding algorithms
    • 3, 5
    • H. Lee, A. Battle, R. Raina, and A.Y. Ng, Efficient sparse coding algorithms, NIPS, 2007. 3, 5
    • (2007) NIPS
    • Lee, H.1    Battle, A.2    Raina, R.3    Ng, A.Y.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.