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Volumn , Issue , 2012, Pages 2783-2790

Multiclass pixel labeling with non-local matching constraints

Author keywords

[No Author keywords available]

Indexed keywords

CO-OCCURRENCE STATISTICS; DATA SETS; ENERGY MINIMIZATION ALGORITHMS; HIGHER-ORDER MATCHING; IMAGE PIXELS; IMAGE REGIONS; MARKOV RANDOM FIELD MODEL; MARKOV RANDOM FIELDS; MATCHING CONSTRAINTS; MULTI-CLASS; NONLOCAL; POTENTIAL FUNCTION;

EID: 84866689521     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2012.6248002     Document Type: Conference Paper
Times cited : (23)

References (30)
  • 1
    • 70350725148 scopus 로고    scopus 로고
    • What is a good image segment? a unified approach to segment extraction
    • S. Bagon, O. Boiman, and M. Irani. What is a good image segment? a unified approach to segment extraction. In ECCV, 2008.
    • (2008) ECCV
    • Bagon, S.1    Boiman, O.2    Irani, M.3
  • 3
    • 31244435415 scopus 로고    scopus 로고
    • Pseudo-boolean optimization
    • E. Boros and P. L. Hammer. Pseudo-boolean optimization. Discrete Appl. Math., 123:155-225, 2002.
    • (2002) Discrete Appl. Math. , vol.123 , pp. 155-225
    • Boros, E.1    Hammer, P.L.2
  • 4
    • 0034844730 scopus 로고    scopus 로고
    • Interactive graph cuts for optimal boundary and region segmentation of objects in n-d images
    • Y. Boykov and M.-P. Jolly. Interactive graph cuts for optimal boundary and region segmentation of objects in n-d images. In ICCV, 2001.
    • (2001) ICCV
    • Boykov, Y.1    Jolly, M.-P.2
  • 5
    • 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
  • 6
    • 0033283778 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. In ICCV, 1999.
    • (1999) ICCV
    • Boykov, Y.1    Veksler, O.2    Zabih, R.3
  • 8
    • 77956006935 scopus 로고    scopus 로고
    • Fast approximate energy minimization with label costs
    • A. Delong, A. Osokin, H. Isack, and Y. Boykov. Fast approximate energy minimization with label costs. In CVPR, 2010.
    • (2010) CVPR
    • Delong, A.1    Osokin, A.2    Isack, H.3    Boykov, Y.4
  • 9
    • 0021518209 scopus 로고
    • Stochastic relaxations Gibbs distributions and the Bayesian restoration of images
    • G. Geman and D. Geman. Stochastic relaxations, Gibbs distributions and the Bayesian restoration of images. PAMI, pages 721-741, 1984.
    • (1984) PAMI , pp. 721-741
    • Geman, G.1    Geman, D.2
  • 10
    • 77953205895 scopus 로고    scopus 로고
    • Decomposing a scene into geometric and semantically consistent regions
    • S. Gould, R. Fulton, and D. Koller. Decomposing a scene into geometric and semantically consistent regions. In ICCV, 2009.
    • (2009) ICCV
    • Gould, S.1    Fulton, R.2    Koller, D.3
  • 11
    • 5044223520 scopus 로고    scopus 로고
    • Multiscale conditional random fields for image labeling
    • X. He, R. Zemel, and M. Carreira-Perpinan. Multiscale conditional random fields for image labeling. In CVPR, 2004.
    • (2004) CVPR
    • He, X.1    Zemel, R.2    Carreira-Perpinan, M.3
  • 12
    • 70450161205 scopus 로고    scopus 로고
    • Higher-order clique reduction in binary graph cut
    • H. Ishikawa. Higher-order clique reduction in binary graph cut. In CVPR, 2009.
    • (2009) CVPR
    • Ishikawa, H.1
  • 13
    • 34948905773 scopus 로고    scopus 로고
    • P3 & beyond: Solving energies with higher order cliques
    • P. Kohli, M. Kumar, and P. Torr. P3 & beyond: Solving energies with higher order cliques. In CVPR, 2007.
    • (2007) CVPR
    • Kohli, P.1    Kumar, M.2    Torr, P.3
  • 14
    • 51949098412 scopus 로고    scopus 로고
    • Robust higher order potentials for enforcing label consistency
    • P. Kohli, L. Ladicky, and P. Torr. Robust higher order potentials for enforcing label consistency. In CVPR, 2008.
    • (2008) CVPR
    • Kohli, P.1    Ladicky, L.2    Torr, P.3
  • 15
    • 0742286180 scopus 로고    scopus 로고
    • What energy functions can be minimized via graph cuts?
    • V. Kolmogorov and R. Zabih. What energy functions can be minimized via graph cuts? PAMI, 2004.
    • (2004) PAMI
    • Kolmogorov, V.1    Zabih, R.2
  • 16
    • 70450199241 scopus 로고    scopus 로고
    • Beyond pairwise energies: Efficient optimization for higher-order MRFs
    • N. Komodakis and N. Paragios. Beyond pairwise energies: Efficient optimization for higher-order MRFs. In CVPR, 2009.
    • (2009) CVPR
    • Komodakis, N.1    Paragios, N.2
  • 17
    • 50649087920 scopus 로고    scopus 로고
    • MRF optimization via dual decomposition: Message-passing revisited
    • N. Komodakis, N. Paragios, and G. Tziritas. MRF optimization via dual decomposition: Message-passing revisited. In ICCV, 2007.
    • (2007) ICCV
    • Komodakis, N.1    Paragios, N.2    Tziritas, G.3
  • 18
    • 77953225585 scopus 로고    scopus 로고
    • Associative hierarchical CRFs for object class image segmentation
    • L. Ladicky, C. Russell, P. Kohli, and P. H. Torr. Associative hierarchical CRFs for object class image segmentation. In ICCV, 2009.
    • (2009) ICCV
    • Ladicky, L.1    Russell, C.2    Kohli, P.3    Torr, P.H.4
  • 19
    • 80052871895 scopus 로고    scopus 로고
    • Graph cut based inference with co-occurrence stats
    • L. Ladicky, C. Russell, P. Kohli, and P. H. Torr. Graph cut based inference with co-occurrence stats. In ECCV, 2010.
    • (2010) ECCV
    • Ladicky, L.1    Russell, C.2    Kohli, P.3    Torr, P.H.4
  • 21
    • 84866639711 scopus 로고    scopus 로고
    • Energy minimization under constraints on label counts
    • Y. Lim, K. Jung, and P. Kohli. Energy minimization under constraints on label counts. In CVPR, 2010.
    • (2010) CVPR
    • Lim, Y.1    Jung, K.2    Kohli, P.3
  • 22
    • 70450184098 scopus 로고    scopus 로고
    • Global connectivity potentials for random field models
    • S. Nowozin and C. H. Lampert. Global connectivity potentials for random field models. In CVPR, 2009.
    • (2009) CVPR
    • Nowozin, S.1    Lampert, C.H.2
  • 23
    • 0003243224 scopus 로고    scopus 로고
    • Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods
    • J. C. Platt. Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods. Advances in Large Margin Classifiers, 1999.
    • (1999) Advances in Large Margin Classifiers
    • Platt, J.C.1
  • 24
    • 70450213193 scopus 로고    scopus 로고
    • Minimizing sparse higher order energy functions of discrete variables
    • C. Rother, P. Kohli, W. Feng, and J. Jia. Minimizing sparse higher order energy functions of discrete variables. In CVPR, 2009.
    • (2009) CVPR
    • Rother, C.1    Kohli, P.2    Feng, W.3    Jia, J.4
  • 26
    • 33845423382 scopus 로고    scopus 로고
    • Texton-Boost: Joint appearance, shape and context modeling for multi-class object recog. and segm
    • J. Shotton, J. Winn, C. Rother, and A. Criminisi. Texton-Boost: Joint appearance, shape and context modeling for multi-class object recog. and segm. In ECCV, 2006.
    • (2006) ECCV
    • Shotton, J.1    Winn, J.2    Rother, C.3    Criminisi, A.4
  • 27
    • 51949090071 scopus 로고    scopus 로고
    • Graph cut based image segmentation with connectivity priors
    • S. Vicente, V. Kolmogorov, and C. Rother. Graph cut based image segmentation with connectivity priors. In CVPR, 2008.
    • (2008) CVPR
    • Vicente, S.1    Kolmogorov, V.2    Rother, C.3
  • 28
    • 77956008428 scopus 로고    scopus 로고
    • Layered object detection for multi-class segmentation
    • Y. Yang, S. Hallman, D. Ramanan, and C. Fowlkes. Layered object detection for multi-class segmentation. In CVPR, 2010.
    • (2010) CVPR
    • Yang, Y.1    Hallman, S.2    Ramanan, D.3    Fowlkes, C.4
  • 29
    • 51949102643 scopus 로고    scopus 로고
    • Multi-label image segmentation via point-wise repetition
    • G. Zeng and L. V. Gool. Multi-label image segmentation via point-wise repetition. In CVPR, 2008.
    • (2008) CVPR
    • Zeng, G.1    Gool, L.V.2
  • 30
    • 85162060346 scopus 로고    scopus 로고
    • Recursive segmentation and recognition templates for 2D parsing
    • L. Zhu, Y. Chen, Y. Lin, C. Lin, and A. Yuille. Recursive segmentation and recognition templates for 2D parsing. In NIPS, 2008.
    • (2008) NIPS
    • Zhu, L.1    Chen, Y.2    Lin, Y.3    Lin, C.4    Yuille, A.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.