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Volumn , Issue , 2007, Pages

Learning conditional random fields for stereo

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL METHODS; GRADIENT METHODS; LEARNING ALGORITHMS; PARAMETER ESTIMATION; PROBABILITY; STEREO VISION;

EID: 34948831560     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2007.383191     Document Type: Conference Paper
Times cited : (884)

References (32)
  • 1
    • 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, 47(1):7-42, 2002.
    • (2002) IJCV , vol.47 , Issue.1 , pp. 7-42
    • Scharstein, D.1    Szeliski, R.2
  • 2
    • 0041939772 scopus 로고    scopus 로고
    • High-accuracy stereo depth maps using structured light
    • D. Scharstein and R. Szeliski. High-accuracy stereo depth maps using structured light. In Proc. CVPR, volume I, pages 195-202, 2003.
    • (2003) Proc. CVPR , vol.1 , pp. 195-202
    • Scharstein, D.1    Szeliski, R.2
  • 3
    • 24644467375 scopus 로고    scopus 로고
    • Parameter estimation for MRF stereo
    • L. Zhang and S. Seitz. Parameter estimation for MRF stereo. In Proc. CVPR, volume II, pages 288-295, 2005.
    • (2005) Proc. CVPR , vol.2 , pp. 288-295
    • Zhang, L.1    Seitz, S.2
  • 4
    • 84874573308 scopus 로고    scopus 로고
    • A method for learning matching errors in stereo computation
    • D. Kong and H. Tao. A method for learning matching errors in stereo computation. In Proc. BMVC, 2004.
    • (2004) Proc. BMVC
    • Kong, D.1    Tao, H.2
  • 5
    • 33746540587 scopus 로고    scopus 로고
    • Probabilistic fusion of stereo with color and contrast for bilayer segmentation
    • V. Kolmogorov, A. Criminisi, A. Blake, G. Cross, and C. Rother. Probabilistic fusion of stereo with color and contrast for bilayer segmentation. IEEE TPAMI, 28(9): 1480-1492, 2006.
    • (2006) IEEE TPAMI , vol.28 , Issue.9 , pp. 1480-1492
    • Kolmogorov, V.1    Criminisi, A.2    Blake, A.3    Cross, G.4    Rother, C.5
  • 6
    • 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. IEEE TPAMI, 23(11): 1222-1239, 2001.
    • (2001) IEEE TPAMI , vol.23 , Issue.11 , pp. 1222-1239
    • Boykov, Y.1    Veksler, O.2    Zabih, R.3
  • 7
    • 0034857389 scopus 로고    scopus 로고
    • Computing visual correspondence with occlusions using graph cuts
    • V. Kolmogorov and R. Zabih. Computing visual correspondence with occlusions using graph cuts. In Proc. ICCV, volume II, pages 508-515, 2001.
    • (2001) Proc. ICCV , vol.2 , pp. 508-515
    • Kolmogorov, V.1    Zabih, R.2
  • 8
    • 84949969441 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? In Proc. ECCV, volume III, pages 65-81, 2002.
    • (2002) Proc. ECCV , vol.3 , pp. 65-81
    • Kolmogorov, V.1    Zabih, R.2
  • 9
    • 0042850432 scopus 로고    scopus 로고
    • Stereo matching using belief propagation
    • J. Sun, N. Zheng, and H. Shum. Stereo matching using belief propagation. IEEE TPAMI, 25(7):787-800, 2003.
    • (2003) IEEE TPAMI , vol.25 , Issue.7 , pp. 787-800
    • Sun, J.1    Zheng, N.2    Shum, H.3
  • 10
    • 24644491905 scopus 로고    scopus 로고
    • Symmetric stereo matching for occlusion handling
    • J. Sun, Y. Li, S. Kang, and H.-Y Shum. Symmetric stereo matching for occlusion handling. In Proc. CVPR, volume II, pages 399-406, 2005.
    • (2005) Proc. CVPR , vol.2 , pp. 399-406
    • Sun, J.1    Li, Y.2    Kang, S.3    Shum, H.-Y.4
  • 11
    • 33744951081 scopus 로고    scopus 로고
    • Efficient belief propagation for early vision
    • P. Felzenszwalb and D. Huttenlocher. Efficient belief propagation for early vision. IJCV, 70(1):41-54, 2006.
    • (2006) IJCV , vol.70 , Issue.1 , pp. 41-54
    • Felzenszwalb, P.1    Huttenlocher, D.2
  • 12
    • 0344983321 scopus 로고    scopus 로고
    • Comparison of graph cuts with belief propagation for stereo, using identical MRF parameters
    • M. Tappen and W Freeman. Comparison of graph cuts with belief propagation for stereo, using identical MRF parameters. In Proc. ICCV, pages 900-907, 2003.
    • (2003) Proc. ICCV , pp. 900-907
    • Tappen, M.1    Freeman, W.2
  • 14
    • 0034857185 scopus 로고    scopus 로고
    • A global matching framework for stereo computation
    • H. Tao, H. Sawhney, and R. Kumar. A global matching framework for stereo computation. In Proc. ICCV, volume I, pages 532-539, 2001.
    • (2001) Proc. ICCV , vol.1 , pp. 532-539
    • Tao, H.1    Sawhney, H.2    Kumar, R.3
  • 15
    • 84948961579 scopus 로고    scopus 로고
    • Stereo matching with segmentation-based cooperation
    • Y Zhang and C. Kambhamettu. Stereo matching with segmentation-based cooperation. In Proc. ECCV, volume II, pages 556-571, 2002.
    • (2002) Proc. ECCV , vol.2 , pp. 556-571
    • Zhang, Y.1    Kambhamettu, C.2
  • 16
    • 20444492774 scopus 로고    scopus 로고
    • A layered stereo algorithm using image segmentation and global visibility constraints
    • M. Bleyer and M. Gelautz. A layered stereo algorithm using image segmentation and global visibility constraints. In Proc. ICIP, 2004.
    • (2004) Proc. ICIP
    • Bleyer, M.1    Gelautz, M.2
  • 17
    • 5044235887 scopus 로고    scopus 로고
    • Segment-based stereo matching using graph cuts
    • L. Hong and G. Chen. Segment-based stereo matching using graph cuts. In Proc. CVPR, volume I, pages 74-81, 2004.
    • (2004) Proc. CVPR , vol.1 , pp. 74-81
    • Hong, L.1    Chen, G.2
  • 18
    • 5044221005 scopus 로고    scopus 로고
    • Region-based progressive stereo matching
    • Y. Wei and L. Quan. Region-based progressive stereo matching. In Proc. CVPR, volume I, pages 106-113, 2004.
    • (2004) Proc. CVPR , vol.1 , pp. 106-113
    • Wei, Y.1    Quan, L.2
  • 19
    • 12844281034 scopus 로고    scopus 로고
    • High-quality video view interpolation using a layered representation
    • L. Zitnick, S. Kang, M. Uyttendaele, S. Winder, and R. Szeliski. High-quality video view interpolation using a layered representation. ACM ToG, 23(3):600-608, 2004.
    • (2004) ACM ToG , vol.23 , Issue.3 , pp. 600-608
    • Zitnick, L.1    Kang, S.2    Uyttendaele, M.3    Winder, S.4    Szeliski, R.5
  • 20
    • 84949995623 scopus 로고    scopus 로고
    • Multi-camera scene reconstruction via graph cuts
    • V. Kolmogorov and R. Zabih. Multi-camera scene reconstruction via graph cuts. In Proc. ECCV, volume III, pages 82-96, 2002.
    • (2002) Proc. ECCV , vol.3 , pp. 82-96
    • Kolmogorov, V.1    Zabih, R.2
  • 21
    • 0142192295 scopus 로고    scopus 로고
    • Conditional random fields: Probabilistic models for segmenting and labeling sequence data
    • J. Lafferty, A. McCallum, and F. Pereira. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In Proc. ICML, pages 282-289, 2001.
    • (2001) Proc. ICML , pp. 282-289
    • Lafferty, J.1    McCallum, A.2    Pereira, F.3
  • 22
    • 33750032384 scopus 로고    scopus 로고
    • An introduction to conditional random fields for relational learning
    • L. Getoor and B. Taskar, editors, MIT Press
    • C. Sutton and A. McCallum. An introduction to conditional random fields for relational learning. In L. Getoor and B. Taskar, editors, Introduction to Statistical Relational Learning. MIT Press, 2006.
    • (2006) Introduction to Statistical Relational Learning
    • Sutton, C.1    McCallum, A.2
  • 23
    • 14344253846 scopus 로고    scopus 로고
    • Dynamic conditional random fields: Factorized probabilistic models for labeling and segmenting sequence data
    • C. Sutton, K. Rohanimanesh, and A. McCallum. Dynamic conditional random fields: Factorized probabilistic models for labeling and segmenting sequence data. In Proc. ICML, 2004.
    • (2004) Proc. ICML
    • Sutton, C.1    Rohanimanesh, K.2    McCallum, A.3
  • 24
    • 0037516827 scopus 로고    scopus 로고
    • Tree-based reparameterization framework for analysis of sum-product and related algorithms
    • M. Wainwright, T. Jaakkola, and A. Willsky. Tree-based reparameterization framework for analysis of sum-product and related algorithms. IEEE Trans. Info. Theory, 45(9): 1120-1146, 2003.
    • (2003) IEEE Trans. Info. Theory , vol.45 , Issue.9 , pp. 1120-1146
    • Wainwright, M.1    Jaakkola, T.2    Willsky, A.3
  • 25
    • 0042440720 scopus 로고    scopus 로고
    • Man-made structure detection in natural images using a causal multiscale random field
    • S. Kumar and M. Hebert. Man-made structure detection in natural images using a causal multiscale random field. In Proc. CVPR, volume I, pages 119-126, 2003.
    • (2003) Proc. CVPR , vol.1 , pp. 119-126
    • Kumar, S.1    Hebert, M.2
  • 26
    • 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 Proc. ECCV, pages 428-441, 2004.
    • (2004) Proc. ECCV , pp. 428-441
    • Blake, A.1    Rother, C.2    Brown, M.3    Perez, P.4    Torr, P.5
  • 28
    • 34948876480 scopus 로고    scopus 로고
    • Spatiotemporal power spectra of motion parallax: The case of cluttered 3D scenes
    • To appear
    • D. Rivait and M. Langer. Spatiotemporal power spectra of motion parallax: the case of cluttered 3D scenes. In IS&T/SPIE Symp. on El. Imaging, 2007. To appear.
    • (2007) IS&T/SPIE Symp. on El. Imaging
    • Rivait, D.1    Langer, M.2
  • 29
    • 0032045727 scopus 로고    scopus 로고
    • A pixel dissimilarity measure that is insensitive to image sampling
    • S. Birchfield and C. Tomasi. A pixel dissimilarity measure that is insensitive to image sampling. IEEE TPAMI, 20(4):401-406, 1998.
    • (1998) IEEE TPAMI , vol.20 , Issue.4 , pp. 401-406
    • Birchfield, S.1    Tomasi, C.2
  • 31
    • 85043116988 scopus 로고    scopus 로고
    • Shallow parsing with conditional random fields
    • F. Sha and F. Pereira. Shallow parsing with conditional random fields. In Proc. NAACL, pages 134-141, 2003.
    • (2003) Proc. NAACL , pp. 134-141
    • Sha, F.1    Pereira, F.2
  • 32
    • 85127836544 scopus 로고    scopus 로고
    • Discriminative training methods for hidden Markov models: Theory and experiments with perceptron algorithms
    • M. Collins. Discriminative training methods for hidden Markov models: Theory and experiments with perceptron algorithms. In Proc. EMNLP, 2002.
    • (2002) Proc. EMNLP
    • Collins, M.1


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