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Volumn , Issue , 2014, Pages 3206-3213

Efficient structured parsing of facades using dynamic programming

Author keywords

dynamic programming; facade parsing; structured segmentation; urban scene understanding

Indexed keywords

FACADES; FORMAL LANGUAGES; PATTERN RECOGNITION; SEMANTICS;

EID: 84911407048     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2014.410     Document Type: Conference Paper
Times cited : (71)

References (38)
  • 1
    • 84911436630 scopus 로고    scopus 로고
    • Optimal landmark detection using shame models and branch and bound
    • B. Amberg and T. Vetter. Optimal Landmark Detection using Shame Models and Branch and Bound. In Proc. CVPR, 2011.
    • (2011) Proc. CVPR
    • Amberg, B.1    Vetter, T.2
  • 2
    • 70450176405 scopus 로고    scopus 로고
    • Efficient algorithms for subwindow search in object detection and localization
    • S. An, P. Peursum, W. Liu, and S. Venkatesh. Efficient Algorithms for Subwindow Search in Object Detection and Localization. In Proc. CVPR, 2009.
    • (2009) Proc. CVPR
    • An, S.1    Peursum, P.2    Liu, W.3    Venkatesh, S.4
  • 3
  • 4
    • 84976757232 scopus 로고
    • Programming pearls: Algorithm design techniques
    • J. Bentley. Programming pearls: algorithm design techniques. Commun. ACM, 1984.
    • (1984) Commun. ACM
    • Bentley, J.1
  • 5
    • 84943347330 scopus 로고
    • Programming pearls: Perspective on performance
    • J. Bentley. Programming pearls: perspective on performance. Commun. ACM, 1984.
    • (1984) Commun. ACM
    • Bentley, J.1
  • 7
    • 84911395245 scopus 로고    scopus 로고
    • Tiered 3d labeling with dynamic programming
    • P. F. Felzenszwalb and O. Veksler. Tiered 3D Labeling with Dynamic Programming. In Proc. CVPR, 2010.
    • (2010) Proc. CVPR
    • Felzenszwalb, P.F.1    Veksler, O.2
  • 9
    • 59149100446 scopus 로고    scopus 로고
    • Global optimization through rotation space search
    • R. Hartley and F. Kahl. Global Optimization through Rotation Space Search. IJCV, 2009.
    • (2009) IJCV
    • Hartley, R.1    Kahl, F.2
  • 10
    • 77953216235 scopus 로고    scopus 로고
    • Recovering the spatial layout of cluttered rooms
    • V. Hedau, D. Hoiem, and D. Forsyth. Recovering the Spatial Layout of Cluttered Rooms. In Proc. ICCV, 2009.
    • (2009) Proc. ICCV
    • Hedau, V.1    Hoiem, D.2    Forsyth, D.3
  • 12
    • 69549111057 scopus 로고    scopus 로고
    • Cutting-plane training of structural SVMs
    • T. Joachims, T. Finley, and C.-N. J. Yu. Cutting-plane training of structural SVMs. JMLR, 2009.
    • (2009) JMLR
    • Joachims, T.1    Finley, T.2    Yu, C.-N.J.3
  • 13
    • 84911396199 scopus 로고    scopus 로고
    • What energy functions can be minimized via graph cuts? in proc
    • V. Kolmogorov. What Energy Functions Can Be Minimized via Graph Cuts? In Proc. CVPR, 2004.
    • (2004) CVPR
    • Kolmogorov, V.1
  • 16
    • 70350621774 scopus 로고    scopus 로고
    • Efficient subwindow search: A branch and bound framework for object localization
    • C. H. Lampert, M. B. Blaschko, and T. Hofmann. Efficient Subwindow Search: A Branch and Bound Framework for Object Localization. PAMI, 2009.
    • (2009) PAMI
    • Lampert, C.H.1    Blaschko, M.B.2    Hofmann, T.3
  • 17
    • 85161973668 scopus 로고    scopus 로고
    • Estimating spatial layout of rooms using volumetric reasoning about objects and surfaces
    • D. C. Lee, A. Gupta, M. Hebert, and T. Kanade. Estimating Spatial Layout of Rooms using Volumetric Reasoning about Objects and Surfaces. In Proc. NIPS, 2010.
    • (2010) Proc. NIPS
    • Lee, D.C.1    Gupta, A.2    Hebert, M.3    Kanade, T.4
  • 20
    • 34047218043 scopus 로고    scopus 로고
    • Optimal estimation of perspective camera pose
    • C. Olsson, F. Kahl, and M. Oskarsson. Optimal Estimation of Perspective Camera Pose. In Proc. ICPR, 2006.
    • (2006) Proc. ICPR
    • Olsson, C.1    Kahl, F.2    Oskarsson, M.3
  • 21
    • 80051987355 scopus 로고    scopus 로고
    • Facade segmentation in a multi-view scenario
    • M. Recky, A. Wendel, and F. Leberl. Facade Segmentation in a Multi-View Scenario. In Proc. 3DIMPVT, 2011.
    • (2011) Proc. 3DIMPVT
    • Recky, M.1    Wendel, A.2    Leberl, F.3
  • 22
    • 70450144523 scopus 로고    scopus 로고
    • Make3D: Learning 3d scene structure from a single still image
    • A. Saxena, M. Sun, and A. Y. Ng. Make3D: Learning 3D Scene Structure from a Single Still Image. PAMI, 2008.
    • (2008) PAMI
    • Saxena, A.1    Sun, M.2    Ng, A.Y.3
  • 23
    • 0036537472 scopus 로고    scopus 로고
    • A taxonomy and evaluation of dense two-frame stereo correspondence algorithms
    • D. Scharstein, R. Szeliski, and R. Zabih. A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms. IJCV, 2002.
    • (2002) IJCV
    • Scharstein, D.1    Szeliski, R.2    Zabih, R.3
  • 24
    • 84898804709 scopus 로고    scopus 로고
    • Box in the box: Joint 3d layout and object reasoning from single images
    • A. G. Schwing, S. Fidler, M. Pollefeys, and R. Urtasun. Box In the Box: Joint 3D Layout and Object Reasoning from Single Images. In Proc. ICCV, 2013.
    • (2013) Proc. ICCV
    • Schwing, A.G.1    Fidler, S.2    Pollefeys, M.3    Urtasun, R.4
  • 25
    • 84866689506 scopus 로고    scopus 로고
    • Efficient structured prediction for 3d indoor scene understanding
    • A. G. Schwing, T. Hazan, M. Pollefeys, and R. Urtasun. Efficient Structured Prediction for 3D Indoor Scene Understanding. In Proc. CVPR, 2012.
    • (2012) Proc. CVPR
    • Schwing, A.G.1    Hazan, T.2    Pollefeys, M.3    Urtasun, R.4
  • 26
    • 84898782204 scopus 로고    scopus 로고
    • Efficient exact inference for 3d indoor scene understanding
    • A. G. Schwing and R. Urtasun. Efficient Exact Inference for 3D Indoor Scene Understanding. In Proc. ECCV, 2012.
    • (2012) Proc. ECCV
    • Schwing, A.G.1    Urtasun, R.2
  • 28
    • 33845423382 scopus 로고    scopus 로고
    • Texton-boost: Joint appearance, shape and context modeling for multi-class object recognition and segmentation
    • J. Shotton, J. Winn, C. Rother, and A. Criminisi. Texton-Boost: Joint Appearance, Shape and Context Modeling for Multi-Class Object Recognition and Segmentation. In Proc. ECCV, 2006.
    • (2006) Proc. ECCV
    • Shotton, J.1    Winn, J.2    Rother, C.3    Criminisi, A.4
  • 33
    • 5044224293 scopus 로고    scopus 로고
    • Sharing features: Efficient boosting procedures for multiclass object detection
    • A. Torralba, K. Murphy, and W. Freeman. Sharing Features: Efficient Boosting Procedures for Multiclass Object Detection. In Proc. CVPR, 2004.
    • (2004) Proc. CVPR
    • Torralba, A.1    Murphy, K.2    Freeman, W.3
  • 34
    • 84935113569 scopus 로고
    • Error bounds for convolutional codes and an asymptotically optimum decoding algorithm
    • A. J. Viterbi. Error bounds for convolutional codes and an asymptotically optimum decoding algorithm. Information Theory, 1967.
    • (1967) Information Theory
    • Viterbi, A.J.1
  • 35
    • 80051967993 scopus 로고    scopus 로고
    • Discriminative learning with latent variables for cluttered indoor scene understanding
    • H. Wang, S. Gould, and D. Koller. Discriminative Learning with Latent Variables for Cluttered Indoor Scene Understanding. In Proc. ECCV, 2010.
    • (2010) Proc. ECCV
    • Wang, H.1    Gould, S.2    Koller, D.3
  • 36
    • 34249652006 scopus 로고    scopus 로고
    • A linear programming approach to max-sum problem: A review
    • T. Werner. A Linear Programming Approach to Max-sum Problem: A review. PAMI, 2007.
    • (2007) PAMI
    • Werner, T.1


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