메뉴 건너뛰기




Volumn , Issue , 2013, Pages 2443-2450

Large displacement optical flow from nearest neighbor fields

Author keywords

Motion Segmentation; Optical Flow; PatchMatch; Randomized Algorithm

Indexed keywords

APPROXIMATE NEAREST NEIGHBOR; EXPERIMENTAL VALIDATIONS; MOTION SEGMENTATION; OPTICAL FLOW ALGORITHM; OPTICAL FLOW METHODS; PATCHMATCH; RANDOMIZED ALGORITHMS; SIMILARITY TRANSFORMATION;

EID: 84887336889     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2013.316     Document Type: Conference Paper
Times cited : (164)

References (26)
  • 1
    • 0034245682 scopus 로고    scopus 로고
    • Reliable estimation of dense optical flow fields with large displacements
    • L. Alvarez, J. Weickert, and J. Sanchez. Reliable estimation of dense optical flow fields with large displacements. IJCV, 39(1):41-56, 2000.
    • (2000) IJCV , vol.39 , Issue.1 , pp. 41-56
    • Alvarez, L.1    Weickert, J.2    Sanchez, J.3
  • 2
    • 34250087462 scopus 로고
    • A computational framework and an algorithm for the measurement of visual motion
    • Anandan. A computational framework and an algorithm for the measurement of visual motion. IJCV, 2(3):283-310, 1989.
    • (1989) IJCV , vol.2 , Issue.3 , pp. 283-310
    • Anandan1
  • 3
    • 77953209139 scopus 로고    scopus 로고
    • Structureand motion-adaptive regularization for high accuracy optic flow
    • W. Andreas, D. Cremers, T. Pock, and H. Bischof. Structureand motion-adaptive regularization for high accuracy optic flow. ICCV, 2009.
    • (2009) ICCV
    • Andreas, W.1    Cremers, D.2    Pock, T.3    Bischof, H.4
  • 5
    • 78649314246 scopus 로고    scopus 로고
    • Patchmatch: A randomized correspondence algorithm for structural image editing
    • C. Barnes, E. Shechtman, A. Finkelstein, and D. B. Goldman. Patchmatch: a randomized correspondence algorithm for structural image editing. ACM SIGGRAPH, 24, 2009.
    • (2009) ACM SIGGRAPH , vol.24
    • Barnes, C.1    Shechtman, E.2    Finkelstein, A.3    Goldman, D.B.4
  • 6
    • 84898414274 scopus 로고    scopus 로고
    • PMBP: Patchmatch belief propagation for correspondence field estimation
    • F. Besse, C. Rother, A. Fitzgibbon, and J. Kautz. PMBP: Patchmatch belief propagation for correspondence field estimation. In BMVC, 2012.
    • (2012) BMVC
    • Besse, F.1    Rother, C.2    Fitzgibbon, A.3    Kautz, J.4
  • 7
    • 0030259484 scopus 로고    scopus 로고
    • Estimating optical flow in segmented images using variable-order parametric models with local deformations
    • M. J. Black and A. D. Jepson. Estimating optical flow in segmented images using variable-order parametric models with local deformations. PAMI, 18(10):972-986, 1996.
    • (1996) PAMI , vol.18 , Issue.10 , pp. 972-986
    • Black, M.J.1    Jepson, A.D.2
  • 8
    • 0035509961 scopus 로고    scopus 로고
    • Fast approximate energy minimization via graph cuts
    • Y. Boykov, O. Veksler, and R. Zabih. Fast approximate energy minimization via graph cuts. PAMI, 23(11):1222-1239, 2001.
    • (2001) PAMI , vol.23 , Issue.11 , pp. 1222-1239
    • Boykov, Y.1    Veksler, O.2    Zabih, R.3
  • 9
    • 79551562584 scopus 로고    scopus 로고
    • Large displacement optical flow: Descriptor matching in variational motion estimation
    • T. Brox and J. Malik. Large displacement optical flow: descriptor matching in variational motion estimation. PAMI, 33(3):500-513, 2011.
    • (2011) PAMI , vol.33 , Issue.3 , pp. 500-513
    • Brox, T.1    Malik, J.2
  • 12
    • 0024165218 scopus 로고
    • Investigations of multigrid algorithms for the estimation of optical flow fields in image sequences
    • W. Enkelmann. Investigations of multigrid algorithms for the estimation of optical flow fields in image sequences. In Computer Vision, Graphics, and Image Processing, 1988.
    • (1988) Computer Vision, Graphics, and Image Processing
    • Enkelmann, W.1
  • 13
    • 84866668394 scopus 로고    scopus 로고
    • Computing nearest-neighbor fields via propagation-assisted kd-trees
    • K. He and J. Sun. Computing nearest-neighbor fields via propagation-assisted kd-trees. CVPR, 2012.
    • (2012) CVPR
    • He, K.1    Sun, J.2
  • 14
    • 84872792048 scopus 로고    scopus 로고
    • Statistics of patch offsets for image completion
    • K. He and J. Sun. Statistics of patch offsets for image completion. ECCV, 2012.
    • (2012) ECCV
    • He, K.1    Sun, J.2
  • 17
    • 84856670335 scopus 로고    scopus 로고
    • Coherency sensitive hashing
    • S. Korman and S. Avidan. Coherency sensitive hashing. ICCV, 2011.
    • (2011) ICCV
    • Korman, S.1    Avidan, S.2
  • 18
    • 51949102979 scopus 로고    scopus 로고
    • Fusionflow: Discretecontinuous optimization for optical flow estimation
    • V. Lempitsky, S. Roth, and C. Rother. Fusionflow: Discretecontinuous optimization for optical flow estimation. CVPR, 2008.
    • (2008) CVPR
    • Lempitsky, V.1    Roth, S.2    Rother, C.3
  • 19
    • 0033284915 scopus 로고    scopus 로고
    • Object recognition from local scale-invariant features
    • D. G. Lowe. Object recognition from local scale-invariant features. ICCV, 1999.
    • (1999) ICCV
    • Lowe, D.G.1
  • 20
    • 0019574599 scopus 로고
    • Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography
    • F. Martin and R. C. Bolles. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Communications of the ACM, 24(6):381-395, 1981.
    • (1981) Communications of the ACM , vol.24 , Issue.6 , pp. 381-395
    • Martin, F.1    Bolles, R.C.2
  • 21
    • 84919615762 scopus 로고    scopus 로고
    • Treecann-k-d tree coherence approximate nearest neighbor algorithm
    • I. Olonetsky and S. Avidan. Treecann-k-d tree coherence approximate nearest neighbor algorithm. In ECCV, 2012.
    • (2012) ECCV
    • Olonetsky, I.1    Avidan, S.2
  • 22
    • 77953178803 scopus 로고    scopus 로고
    • Large displacement optical flow computation without warping
    • F. Steinbruecker, T. Pock, and D. Cremers. Large displacement optical flow computation without warping. In ICCV, 2009.
    • (2009) ICCV
    • Steinbruecker, F.1    Pock, T.2    Cremers, D.3
  • 23
    • 77955989832 scopus 로고    scopus 로고
    • Secrets of optical flow estimation and their principles
    • D. Sun, S. Roth, and M. J. Black. Secrets of optical flow estimation and their principles. CVPR, 2010.
    • (2010) CVPR
    • Sun, D.1    Roth, S.2    Black, M.J.3
  • 24
    • 85161961413 scopus 로고    scopus 로고
    • Layered image motion with explicit occlusions, temporal consistency, and depth ordering
    • D. Sun, E. B. Sudderth, and M. J. Black. Layered image motion with explicit occlusions, temporal consistency, and depth ordering. In NIPS, 2010.
    • (2010) NIPS
    • Sun, D.1    Sudderth, E.B.2    Black, M.J.3
  • 25
    • 84866675418 scopus 로고    scopus 로고
    • Joint motion estimation and segmentation of complex scenes with label costs and occlusion modeling
    • M. Unger, M. Werlberger, T. Pock, and H. Bischof. Joint motion estimation and segmentation of complex scenes with label costs and occlusion modeling. In CVPR, 2012.
    • (2012) CVPR
    • Unger, M.1    Werlberger, M.2    Pock, T.3    Bischof, H.4
  • 26
    • 84865609390 scopus 로고    scopus 로고
    • Motion detail preserving optical flow estimation
    • L. Xu, J. Jia, and Y. Matsushita. Motion detail preserving optical flow estimation. PAMI, 16(9):1744-1757, 2012.
    • (2012) PAMI , vol.16 , Issue.9 , pp. 1744-1757
    • Xu, L.1    Jia, J.2    Matsushita, Y.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.