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Volumn , Issue , 2012, Pages 65-92

Higher-order models in computer vision

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EID: 85055818260     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1201/b12281     Document Type: Chapter
Times cited : (6)

References (58)
  • 2
    • 33745817089 scopus 로고    scopus 로고
    • A comparative study of energy minimization methods for Markov random fields
    • C. Rother, “A comparative study of energy minimization methods for Markov random fields.” in ECCV, 2006, pp. 16-29.
    • (2006) ECCV , pp. 16-29
    • Rother, C.1
  • 3
    • 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, vol. 23, no. 11, pp. 1222-1239, 2001.
    • (2001) PAMI , vol.23 , Issue.11 , pp. 1222-1239
    • Boykov, Y.1    Veksler, O.2    Zabih, R.3
  • 4
    • 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, vol. 26, no. 2, pp. 147-159, 2004.
    • (2004) PAMI , vol.26 , Issue.2 , pp. 147-159
    • Kolmogorov, V.1    Zabih, R.2
  • 5
    • 34948898052 scopus 로고    scopus 로고
    • Fast, Approximately Optimal Solutions for Single and Dynamic MRFs
    • N. Komodakis, G. Tziritas, and N. Paragios, “Fast, approximately optimal solutions for single and dynamic MRFs,” in CVPR, 2007, pp. 1-8.
    • (2007) CVPR , pp. 1-8
    • Komodakis, N.1    Tziritas, G.2    Paragios, N.3
  • 6
    • 31244435415 scopus 로고    scopus 로고
    • Pseudo-boolean optimization
    • E. Boros and P. Hammer, “Pseudo-boolean optimization.” Discrete Appl. Math., vol. 123, no. 1-3, pp. 155-225, 2002.
    • (2002) Discrete Appl. Math. , vol.123 , Issue.1-3 , pp. 155-225
    • Boros, E.1    Hammer, P.2
  • 7
    • 33847640544 scopus 로고    scopus 로고
    • Local search heuristics for quadratic unconstrained binary optimization (Qubo)
    • E. Boros, P. Hammer, and G. Tavares, “Local search heuristics for quadratic unconstrained binary optimization (QUBO),” J. Heuristics, vol. 13, no. 2, pp. 99-132, 2007.
    • (2007) J. Heuristics , vol.13 , Issue.2 , pp. 99-132
    • Boros, E.1    Hammer, P.2    Tavares, G.3
  • 8
    • 5044222280 scopus 로고    scopus 로고
    • Efficient belief propagation for early vision
    • P. Felzenszwalb and D. Huttenlocher, “Efficient Belief Propagation for Early Vision,” in Proc. CVPR, vol. 1, 2004, pp. 261-268.
    • (2004) Proc. CVPR , vol.1 , pp. 261-268
    • Felzenszwalb, P.1    Huttenlocher, D.2
  • 9
    • 46149134436 scopus 로고
    • Fusion, propagation, and structuring in belief networks
    • J. Pearl, “Fusion, propagation, and structuring in belief networks,” Artif. Intell., vol. 29, no. 3, pp. 241-288, 1986.
    • (1986) Artif. Intell. , vol.29 , Issue.3 , pp. 241-288
    • Pearl, J.1
  • 10
    • 0035246323 scopus 로고    scopus 로고
    • On the optimality of solutions of the max-product belief-propagation algorithm in arbitrary graphs
    • Y. Weiss and W. Freeman, “On the optimality of solutions of the max-product belief-propagation algorithm in arbitrary graphs.” Trans. Inf. Theory, 2001.
    • (2001) Trans. Inf. Theory
    • Weiss, Y.1    Freeman, W.2
  • 11
    • 33750129298 scopus 로고    scopus 로고
    • Convergent tree-reweighted message passing for energy minimization
    • V. Kolmogorov, “Convergent tree-reweighted message passing for energy minimization.” IEEE Trans. Pattern Anal. Mach. Intell., vol. 28, no. 10, pp. 1568-1583, 2006.
    • (2006) IEEE Trans. Pattern Anal. Mach. Intell. , vol.28 , Issue.10 , pp. 1568-1583
    • Kolmogorov, V.1
  • 12
    • 27744456278 scopus 로고    scopus 로고
    • Map estimation via agreement on trees: Message- passing and linear programming
    • M. Wainwright, T. Jaakkola, and A. Willsky, “Map estimation via agreement on trees: message- passing and linear programming.” IEEE Trans. Inf. Theory, vol. 51, no. 11, pp. 3697-3717, 2005.
    • (2005) IEEE Trans. Inf. Theory , vol.51 , Issue.11 , pp. 3697-3717
    • Wainwright, M.1    Jaakkola, T.2    Willsky, A.3
  • 13
    • 77955995927 scopus 로고    scopus 로고
    • Fast global optimization of curvature,” in
    • N. Y. El-Zehiry and L. Grady, “Fast global optimization of curvature,” in CVPR, 2010, pp. 3257-3264.
    • (2010) CVPR , pp. 3257-3264
    • El-Zehiry, N.Y.1    Grady, L.2
  • 14
    • 0344983275 scopus 로고    scopus 로고
    • Image-based rendering using image-based priors
    • C. Fitzgibbon, Y. Wexler, and A. Zisserman, “Image-based rendering using image-based priors.” in ICCV, 2003, pp. 1176-1183.
    • (2003) ICCV , pp. 1176-1183
    • Fitzgibbon, C.1    Wexler, Y.2    Zisserman, A.3
  • 15
    • 78149343534 scopus 로고    scopus 로고
    • Graph cut based inference with co-occurrence statistics
    • L. Ladicky, C. Russell, P. Kohli, and P. H. S. Torr, “Graph cut based inference with co-occurrence statistics,” in ECCV, 2010, pp. 239-253.
    • (2010) ECCV , pp. 239-253
    • Ladicky, L.1    Russell, C.2    Kohli, P.3    Torr, P.H.S.4
  • 16
    • 34948905773 scopus 로고    scopus 로고
    • P3, and beyond: Solving energies with higher order cliques
    • P. Kohli, M. Kumar, and P. Torr, “P3 and beyond: Solving energies with higher order cliques,” in CVPR, 2007.
    • (2007) CVPR
    • Kohli, P.1    Kumar, M.2    Torr, P.3
  • 17
    • 33745818928 scopus 로고    scopus 로고
    • Efficient belief propagation with learned higher- order markov random fields
    • X. Lan, S. Roth, D. Huttenlocher, and M. Black, “Efficient belief propagation with learned higher- order markov random fields.” in ECCV, 2006, pp. 269-282.
    • (2006) ECCV , pp. 269-282
    • Lan, X.1    Roth, S.2    Huttenlocher, D.3    Black, M.4
  • 18
    • 24644467818 scopus 로고    scopus 로고
    • Fields of experts: A framework for learning image priors
    • S. Roth and M. Black, “Fields of experts: A framework for learning image priors.” in CVPR, 2005, pp. 860-867.
    • (2005) CVPR , pp. 860-867
    • Roth, S.1    Black, M.2
  • 19
    • 34948826444 scopus 로고    scopus 로고
    • Efficient belief propagation for vision using linear constraint nodes
    • C. Potetz, “Efficient belief propagation for vision using linear constraint nodes,” in CVPR, 2007.
    • (2007) CVPR
    • Potetz, C.1
  • 20
    • 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, pp. 755-762.
    • (2009) ICCV , pp. 755-762
    • Vicente, S.1    Kolmogorov, V.2    Rother, C.3
  • 21
    • 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
  • 22
    • 80053538440 scopus 로고    scopus 로고
    • Hop-map: Efficient message passing with high order potentials
    • C. Tarlow, I. E. Givoni, and R. S. Zemel, “Hop-map: Efficient message passing with high order potentials,” JMLR - Proceedings Track, vol. 9, pp. 812-819, 2010.
    • (2010) JMLR - Proceedings Track , vol.9 , pp. 812-819
    • Tarlow, C.1    Givoni, I.E.2    Zemel, R.S.3
  • 23
    • 85055837508 scopus 로고    scopus 로고
    • High-arity interactions, polyhedral relaxations, and cutting plane algorithm for soft constraint optimisation (Map-mrf)
    • T. Werner, “High-arity interactions, polyhedral relaxations, and cutting plane algorithm for soft constraint optimisation (MAP-MRF),” in CVPR, 2009.
    • (2009) CVPR
    • Werner, T.1
  • 24
    • 51949087578 scopus 로고    scopus 로고
    • Global stereo reconstruction under second order smoothness priors
    • O. Woodford, P. Torr, I. Reid, and A. Fitzgibbon, “Global stereo reconstruction under second order smoothness priors,” in CVPR, 2008.
    • (2008) CVPR
    • Woodford, O.1    Torr, P.2    Reid, I.3    Fitzgibbon, A.4
  • 25
    • 77956004109 scopus 로고    scopus 로고
    • Energy minimization for linear envelope mrfs
    • P. Kohli and M. P. Kumar, “Energy minimization for linear envelope MRFs,” in CVPR, 2010, pp. 1863-1870.
    • (2010) CVPR , pp. 1863-1870
    • Kohli, P.1    Kumar, M.P.2
  • 26
    • 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
  • 28
    • 85055850554 scopus 로고    scopus 로고
    • Exact and approximate inference in associative hierarchical random fields using graph-cuts
    • C. Russell, L. Ladicky, P. Kohli, and P. H. S. Torr, “Exact and approximate inference in associative hierarchical random fields using graph-cuts,” in UAI, 2010.
    • (2010) UAI
    • Russell, C.1    Ladicky, L.2    Kohli, P.3    Torr, P.H.S.4
  • 29
    • 35048899665 scopus 로고    scopus 로고
    • Interactive image segmentation using an adaptive gmmrf model
    • A. Blake, C. Rother, M. Brown, P. Perez, and P. Torr, “Interactive image segmentation using an adaptive GMMRF model,” in ECCV, 2004, pp. I: 428-441.
    • (2004) ECCV
    • Blake, A.1    Rother, C.2    Brown, M.3    Perez, P.4    Torr, P.5
  • 30
    • 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,” in SIGGRAPH, 2004, pp. 309-314.
    • (2004) SIGGRAPH , pp. 309-314
    • Rother, C.1    Kolmogorov, V.2    Blake, A.3
  • 33
    • 84865831978 scopus 로고    scopus 로고
    • Curvature prior for mrf-based segmentation and shape inpainting
    • K13133 FEE Czech Technical University, Prague, Czech Republic, Research Report CTU-CMP-2011-11, September
    • A. Shekhovtsov, P. Kohli, and C. Rother, “Curvature prior for MRF-based segmentation and shape inpainting,” Center for Machine Perception, K13133 FEE Czech Technical University, Prague, Czech Republic, Research Report CTU-CMP-2011-11, September 2011.
    • (2011) Center for Machine Perception
    • Shekhovtsov, A.1    Kohli, P.2    Rother, C.3
  • 34
    • 0345414167 scopus 로고    scopus 로고
    • Learning a Classification Model for segmentation
    • X. Ren and J. Malik, “Learning a classification model for segmentation.” in ICCV, 2003, pp. 10-17.
    • (2003) ICCV , pp. 10-17
    • Ren, X.1    Malik, J.2
  • 35
    • 33745824267 scopus 로고    scopus 로고
    • Textonboost: Joint appearance, shape and context modeling for multi-class object recognition and segmentation
    • J. Shotton, J. Winn, C. Rother, and A. Criminisi, “TextonBoost: Joint appearance, shape and context modeling for multi-class object recognition and segmentation.” in ECCV (1), 2006, pp. 1-15.
    • (2006) ECCV (1) , pp. 1-15
    • Shotton, J.1    Winn, J.2    Rother, C.3    Criminisi, A.4
  • 36
    • 0036565814 scopus 로고    scopus 로고
    • Mean shift: A robust approach toward feature space analysis
    • C. Comaniciu and P. Meer, “Mean shift: A robust approach toward feature space analysis.” IEEE Trans. Pattern Anal. Mach. Intell., vol. 24, no. 5, pp. 603-619, 2002.
    • (2002) IEEE Trans. Pattern Anal. Mach. Intell. , vol.24 , Issue.5 , pp. 603-619
    • Comaniciu, C.1    Meer, P.2
  • 37
    • 0034844730 scopus 로고    scopus 로고
    • Interactive graph cuts for optimal boundary and region segmentation of objects in n-d images
    • Y. Boykov and M. Jolly, “Interactive graph cuts for optimal boundary and region segmentation of objects in N-D images,” in ICCV, 2001, pp. I: 105-112.
    • (2001) ICCV
    • Boykov, Y.1    Jolly, M.2
  • 38
    • 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, pp. 2985-2992.
    • (2009) CVPR , pp. 2985-2992
    • Komodakis, N.1    Paragios, N.2
  • 39
    • 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, pp. 2993-3000.
    • (2009) CVPR , pp. 2993-3000
    • Ishikawa, H.1
  • 40
    • 0034291933 scopus 로고    scopus 로고
    • Learning low-level vision
    • W. T. Freeman, E. C. Pasztor, and O. T. Carmichael, “Learning low-level vision,” IJCV, vol. 40, no. 1, pp. 25-47, 2000.
    • (2000) IJCV , vol.40 , Issue.1 , pp. 25-47
    • Freeman, W.T.1    Pasztor, E.C.2    Carmichael, O.T.3
  • 41
    • 33745851543 scopus 로고    scopus 로고
    • Statistical priors for efficient combinatorial optimization via graph cuts
    • D. Cremers and L. Grady, “Statistical priors for efficient combinatorial optimization via graph cuts,” in ECCV, 2006, pp. 263-274.
    • (2006) ECCV , pp. 263-274
    • Cremers, D.1    Grady, L.2
  • 42
    • 80052902599 scopus 로고    scopus 로고
    • Object stereo: Joint stereo matching and object segmentation
    • M. Bleyer, C. Rother, P. Kohli, D. Scharstein, and S. Sinha, “Object stereo: Joint stereo matching and object segmentation,” in CVPR, 2011, pp. 3081-3088.
    • (2011) CVPR , pp. 3081-3088
    • Bleyer, M.1    Rother, C.2    Kohli, P.3    Scharstein, D.4    Sinha, S.5
  • 43
    • 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, pp. 818-825.
    • (2009) CVPR , pp. 818-825
    • Nowozin, S.1    Lampert, C.H.2
  • 44
    • 77953220015 scopus 로고    scopus 로고
    • Image segmentation with a bounding box prior
    • V. S. Lempitsky, P. Kohli, C. Rother, and T. Sharp, “Image segmentation with a bounding box prior,” in ICCV, 2009, pp. 277-284.
    • (2009) ICCV , pp. 277-284
    • Lempitsky, V.S.1    Kohli, P.2    Rother, C.3    Sharp, T.4
  • 45
    • 77955999802 scopus 로고    scopus 로고
    • Surface stereo with soft segmentation
    • M. Bleyer, C. Rother, and P. Kohli, “Surface stereo with soft segmentation,” in CVPR, 2010, pp. 1570-1577.
    • (2010) CVPR , pp. 1570-1577
    • Bleyer, M.1    Rother, C.2    Kohli, P.3
  • 46
    • 77956006935 scopus 로고    scopus 로고
    • Fast approximate energy minimization with label costs
    • A. Delong, A. Osokin, H. N. Isack, and Y. Boykov, “Fast approximate energy minimization with label costs,” in CVPR, 2010, pp. 2173-2180.
    • (2010) CVPR , pp. 2173-2180
    • Delong, A.1    Osokin, A.2    Isack, H.N.3    Boykov, Y.4
  • 47
    • 34948897542 scopus 로고    scopus 로고
    • 3D layoutcrf for multi-view object class recognition and segmentation
    • C. Hoiem, C. Rother, and J. M. Winn, “3D layoutcrf for multi-view object class recognition and segmentation,” in CVPR, 2007.
    • (2007) CVPR
    • Hoiem, C.1    Rother, C.2    Winn, J.M.3
  • 48
    • 50649122028 scopus 로고    scopus 로고
    • Applications of parametric maxflow in computer vision
    • V. Kolmogorov, Y. Boykov, and C. Rother, “Applications of parametric maxflow in computer vision,” in ICCV, 2007, pp. 1-8.
    • (2007) ICCV , pp. 1-8
    • Kolmogorov, V.1    Boykov, Y.2    Rother, C.3
  • 49
    • 0024610615 scopus 로고
    • A Fast Parametric Maximum Flow Algorithm and applications
    • G. Gallo, M. Grigoriadis, and R. Tarjan, “A fast parametric maximum flow algorithm and applications,” SIAM J. on Comput., vol. 18, pp. 30-55, 1989.
    • (1989) SIAM J. On Comput. , vol.18 , pp. 30-55
    • Gallo, G.1    Grigoriadis, M.2    Tarjan, R.3
  • 50
    • 78149320992 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 ECCV, 2010, pp. 535-551.
    • (2010) ECCV , pp. 535-551
    • Lim, Y.1    Jung, K.2    Kohli, P.3
  • 51
    • 77953223384 scopus 로고    scopus 로고
    • A global perspective on map inference for low-level vision
    • O. Woodford, C. Rother, and V. Kolmogorov, “A global perspective on map inference for low-level vision,” in ICCV, 2009, pp. 2319-2326.
    • (2009) ICCV , pp. 2319-2326
    • Woodford, O.1    Rother, C.2    Kolmogorov, V.3
  • 53
    • 0000388721 scopus 로고    scopus 로고
    • Generalized belief propagation
    • J. Yedidia, W. Freeman, and Y. Weiss, “Generalized belief propagation.” in NIPS, 2000, pp. 689-695.
    • (2000) NIPS , pp. 689-695
    • Yedidia, J.1    Freeman, W.2    Weiss, Y.3
  • 54
    • 23844432639 scopus 로고    scopus 로고
    • A linear programming formulation and approximation algorithms for the metric labeling problem
    • C. Chekuri, S. Khanna, J. Naor, and L. Zosin, “A linear programming formulation and approximation algorithms for the metric labeling problem,” SIAM J. Discrete Math., vol. 18, no. 3, pp. 608-625, 2005.
    • (2005) SIAM J. Discrete Math. , vol.18 , Issue.3 , pp. 608-625
    • Chekuri, C.1    Khanna, S.2    Naor, J.3    Zosin, L.4
  • 55
    • 24644520450 scopus 로고    scopus 로고
    • Energy minimization via graph cuts: Settling what is possibles
    • C. Freedman and P. Drineas, “Energy minimization via graph cuts: Settling what is possible.” in CVPR, 2005, pp. 939-946.
    • (2005) CVPR , pp. 939-946
    • Freedman, C.1    Drineas, P.2
  • 56
    • 61349174704 scopus 로고    scopus 로고
    • Robust higher order potentials for enforcing label consistency
    • P. Kohli, L. Ladicky, and P. H. S. Torr, “Robust higher order potentials for enforcing label consistency,” IJCV, vol. 82, no. 3, pp. 302-324, 2009.
    • (2009) IJCV , vol.82 , Issue.3 , pp. 302-324
    • Kohli, P.1    Ladicky, L.2    Torr, P.H.S.3
  • 57
    • 57149135436 scopus 로고    scopus 로고
    • Feature correspondence via graph matching: Models and global optimization
    • L. Torresani, V. Kolmogorov, and C. Rother, “Feature correspondence via graph matching: Models and global optimization,” in ECCV, 2008, pp. 596-609.
    • (2008) ECCV , pp. 596-609
    • Torresani, L.1    Kolmogorov, V.2    Rother, C.3
  • 58
    • 0013344078 scopus 로고    scopus 로고
    • Training products of experts by minimizing contrastive divergence
    • G. E. Hinton, “Training products of experts by minimizing contrastive divergence,” Neural Comput., vol. 14, no. 8, pp. 1771-1800, 2002.
    • (2002) Neural Comput. , vol.14 , Issue.8 , pp. 1771-1800
    • Hinton, G.E.1


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