메뉴 건너뛰기




Volumn , Issue , 2011, Pages 3017-3024

Fast cost-volume filtering for visual correspondence and beyond

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARKING; COMPUTER VISION; COSTS; STEREO IMAGE PROCESSING;

EID: 80052908093     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2011.5995372     Document Type: Conference Paper
Times cited : (512)

References (31)
  • 1
    • 80052873633 scopus 로고    scopus 로고
    • http://vision. middlebury.edu/flow.
  • 2
    • 80052904470 scopus 로고    scopus 로고
    • http://vision. middlebury.edu/stereo.
  • 3
    • 4344598245 scopus 로고    scopus 로고
    • An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision
    • Y. Boykov and V. Kolmogorov. An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision. PAMI, 2004.
    • (2004) PAMI
    • Boykov, Y.1    Kolmogorov, V.2
  • 4
    • 35148843628 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, 2004.
    • (2004) PAMI
    • Boykov, Y.1    Veksler, O.2    Zabih, R.3
  • 5
    • 79551510092 scopus 로고    scopus 로고
    • Large displacement optical flow: Descriptor matching in variational motion estimation
    • to appear
    • T. Brox and J. Malik. Large displacement optical flow: descriptor matching in variational motion estimation. PAMI, to appear.
    • PAMI
    • Brox, T.1    Malik, J.2
  • 6
    • 80052915052 scopus 로고    scopus 로고
    • Optical flow estimation on coarseto-fine region-trees using discrete optimization
    • A. Bruhn and J. Weickert. Optical flow estimation on coarseto-fine region-trees using discrete optimization. In ICCV, 2005.
    • (2005) ICCV
    • Bruhn, A.1    Weickert, J.2
  • 7
    • 77952801052 scopus 로고    scopus 로고
    • GeoS: Geodesic image segmentation
    • A. Criminisi, T. Sharp, and A. Blake. GeoS: Geodesic image segmentation. In ECCV, 2008.
    • (2008) ECCV
    • Criminisi, A.1    Sharp, T.2    Blake, A.3
  • 9
    • 0005090507 scopus 로고
    • Summed-area tables for texture mapping
    • F. Crow. Summed-area tables for texture mapping. SIGGRAPH, 1984.
    • (1984) SIGGRAPH
    • Crow, F.1
  • 10
    • 79958741885 scopus 로고    scopus 로고
    • A highly efficient GPU implementation for variational optic flow based on the euler-lagrange framework
    • P. Gwosdek, H. Zimmer, S. Grewenig, A. Bruhn, and J. Weickert. A highly efficient GPU implementation for variational optic flow based on the euler-lagrange framework. In CVGPU Workshop, 2010.
    • (2010) CVGPU Workshop
    • Gwosdek, P.1    Zimmer, H.2    Grewenig, S.3    Bruhn, A.4    Weickert, J.5
  • 11
    • 81255209862 scopus 로고    scopus 로고
    • Guided image filtering
    • K. He, J. Sun, and X. Tang. Guided image filtering. In ECCV, 2010.
    • (2010) ECCV
    • He, K.1    Sun, J.2    Tang, X.3
  • 12
    • 77951972784 scopus 로고    scopus 로고
    • Local stereo matching using geodesic support weights
    • A. Hosni, M. Bleyer, M. Gelautz, and C. Rhemann. Local stereo matching using geodesic support weights. In ICIP, 2009.
    • (2009) ICIP
    • Hosni, A.1    Bleyer, M.2    Gelautz, M.3    Rhemann, C.4
  • 13
    • 77952743614 scopus 로고    scopus 로고
    • An experimental comparison of discrete and continuous shape optimization methods
    • M. Klodt, T. Schoenemann, K. Kolev, M. Schikora, and D. Cremers. An experimental comparison of discrete and continuous shape optimization methods. In ECCV, 2008.
    • (2008) ECCV
    • Klodt, M.1    Schoenemann, T.2    Kolev, K.3    Schikora, M.4    Cremers, D.5
  • 14
    • 80052912238 scopus 로고    scopus 로고
    • Optical flow estimation with adaptive convolution kernel prior on discrete framework
    • K. Lee, D. Kwon, I. Yun, and S. Lee. Optical flow estimation with adaptive convolution kernel prior on discrete framework. In CVPR, 2008.
    • (2008) CVPR
    • Lee, K.1    Kwon, D.2    Yun, I.3    Lee, S.4
  • 15
    • 77953217610 scopus 로고    scopus 로고
    • Optical flow estimation on coarse-to-fine region-trees using discrete optimization
    • C. Lei and Y. Yang. Optical flow estimation on coarse-to-fine region-trees using discrete optimization. In ICCV'09.
    • ICCV'09.
    • Lei, C.1    Yang, Y.2
  • 16
    • 50649086535 scopus 로고    scopus 로고
    • Logcut - Efficient graph cut optimization for markov random fields
    • V. Lempitsky, C. Rother, and A. Blake. Logcut - efficient graph cut optimization for markov random fields. In ICCV, 2007.
    • (2007) ICCV
    • Lempitsky, V.1    Rother, C.2    Blake, A.3
  • 19
    • 80052886987 scopus 로고    scopus 로고
    • Real-time spatiotemporal stereo matching using the dual-cross-bilateral grid
    • C. Richardt, D. Orr, I. Davies, A. Criminisi, and N. Dodgson. Real-time spatiotemporal stereo matching using the dual-cross-bilateral grid. In ECCV'10.
    • ECCV'10.
    • Richardt, C.1    Orr, D.2    Davies, I.3    Criminisi, A.4    Dodgson, N.5
  • 20
    • 84877632511 scopus 로고    scopus 로고
    • Grabcut - Interactive foreground extraction using iterated graph cuts
    • C. Rother, V. Kolmogorov, and A. Blake. Grabcut - interactive foreground extraction using iterated graph cuts. SIGGRAPH, 2004.
    • (2004) SIGGRAPH
    • Rother, C.1    Kolmogorov, V.2    Blake, A.3
  • 21
    • 0036537472 scopus 로고    scopus 로고
    • A taxonomy and evaluation of dense two-frame stereo correspondence algorithms
    • D. Scharstein and R. Szeliski. A taxonomy and evaluation of dense two-frame stereo correspondence algorithms. IJCV, 2002.
    • (2002) IJCV
    • Scharstein, D.1    Szeliski, R.2
  • 22
    • 75149150235 scopus 로고    scopus 로고
    • HumanEva: Synchronized video and motion capture dataset for evaluation of articulated human motion
    • L. Sigal, A. Balan, and M. Black. HumanEva: Synchronized video and motion capture dataset for evaluation of articulated human motion. IJCV, 2010.
    • (2010) IJCV
    • Sigal, L.1    Balan, A.2    Black, M.3
  • 23
    • 77953178803 scopus 로고    scopus 로고
    • Large displacement optical flow computation without warping
    • F. Steinbrücker, T. Pock, and D. Cremers. Large displacement optical flow computation without warping. In ICCV, 2009.
    • (2009) ICCV
    • Steinbrücker, F.1    Pock, T.2    Cremers, D.3
  • 24
    • 77955989832 scopus 로고    scopus 로고
    • Secrets of optical flow estimation and their principles
    • D. Sun, S. Roth, and M. Black. Secrets of optical flow estimation and their principles. In CVPR, 2010.
    • (2010) CVPR
    • Sun, D.1    Roth, S.2    Black, M.3
  • 25
    • 17744404031 scopus 로고    scopus 로고
    • Vector-valued image regularization with PDE's: A common framework for different applications
    • D. Tschumperlè and R. Deriche. Vector-valued image regularization with PDE's: A common framework for different applications. In CVPR, 2003.
    • (2003) CVPR
    • Tschumperlè, D.1    Deriche, R.2
  • 26
    • 24644500353 scopus 로고    scopus 로고
    • Stereo correspondence by dynamic programming on a tree
    • O. Veksler. Stereo correspondence by dynamic programming on a tree. In CVPR, 2005.
    • (2005) CVPR
    • Veksler, O.1
  • 27
    • 77953225043 scopus 로고    scopus 로고
    • Joint optimization of segmentation and appearance models
    • S. Vicente, V. Kolmogorov, and C. Rother. Joint optimization of segmentation and appearance models. In ICCV, 2009.
    • (2009) ICCV
    • Vicente, S.1    Kolmogorov, V.2    Rother, C.3
  • 28
    • 77955994781 scopus 로고    scopus 로고
    • Motion estimation with non-local total variation regularization
    • M. Werlberger, T. Pock, and H. Bischof. Motion estimation with non-local total variation regularization. In CVPR, 2010.
    • (2010) CVPR
    • Werlberger, M.1    Pock, T.2    Bischof, H.3
  • 29
    • 34547711707 scopus 로고    scopus 로고
    • Bilateral filtering-based optical flow estimation with occlusion detection
    • J. Xiao, H. Cheng, H. Sawhney, C. Rao, and M. Isnardi. Bilateral filtering-based optical flow estimation with occlusion detection. In ECCV, 2006.
    • (2006) ECCV
    • Xiao, J.1    Cheng, H.2    Sawhney, H.3    Rao, C.4    Isnardi, M.5
  • 30
    • 77955995204 scopus 로고    scopus 로고
    • Motion detail preserving optical flow estimation
    • L. Xu, J. Jia, and Y. Matsushita. Motion detail preserving optical flow estimation. In CVPR, 2010.
    • (2010) CVPR
    • Xu, L.1    Jia, J.2    Matsushita, Y.3
  • 31
    • 33144482417 scopus 로고    scopus 로고
    • Adaptive support-weight approach for correspondence search
    • K. Yoon and S. Kweon. Adaptive support-weight approach for correspondence search. PAMI, 2006.
    • (2006) PAMI
    • Yoon, K.1    Kweon, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.