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Volumn , Issue , 2009, Pages

Combining appearance and structure from motion features for road scene understanding

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; DATA PROCESSING;

EID: 84898870663     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5244/C.23.62     Document Type: Conference Paper
Times cited : (241)

References (28)
  • 1
    • 84898417548 scopus 로고    scopus 로고
    • http://www.bing.com/maps, 2009.
    • (2009)
  • 2
    • 84898477179 scopus 로고    scopus 로고
    • http://maps.google.com/help/maps/streetview, 2009.
    • (2009)
  • 3
    • 84898491341 scopus 로고    scopus 로고
    • http://www.yotta.tv, 2009.
    • (2009)
  • 4
    • 24644480272 scopus 로고    scopus 로고
    • Interactive image segmentation using an adaptive GMMRF model
    • A. Blake, C. Rother, M. Brown, P. Perez, and P. H. S. Torr. Interactive image segmentation using an adaptive GMMRF model. In ECCV, Volume 1, pages 428-441, 2004.
    • (2004) ECCV , vol.1 , pp. 428-441
    • Blake, A.1    Rother, C.2    Brown, M.3    Perez, P.4    Torr, P.H.S.5
  • 5
    • 33845567121 scopus 로고    scopus 로고
    • Shape guided object segmentation
    • E. Borenstein and J. Malik. Shape guided object segmentation. In CVPR, Volume 1, pages 969-976, 2006.
    • (2006) CVPR , vol.1 , pp. 969-976
    • Borenstein, E.1    Malik, J.2
  • 6
    • 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, Volume 1, pages 105-112, 2001.
    • (2001) ICCV , vol.1 , pp. 105-112
    • Boykov, Y.1    Jolly, M.-P.2
  • 7
    • 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, 23(11):1222-1239, 2001.
    • (2001) PAMI , vol.23 , Issue.11 , pp. 1222-1239
    • Boykov, Y.1    Veksler, O.2    Zabih, R.3
  • 8
    • 56749170578 scopus 로고    scopus 로고
    • Segmentation and recognition using structure from motion point clouds
    • G. J. Brostow, J. Shotton, J. Fauqueur, and R. Cipolla. Segmentation and recognition using structure from motion point clouds. In ECCV, Volume 1, pages 44-57, 2008.
    • (2008) ECCV , vol.1 , pp. 44-57
    • Brostow, G.J.1    Shotton, J.2    Fauqueur, J.3    Cipolla, R.4
  • 9
    • 56049086147 scopus 로고    scopus 로고
    • Semantic object classes in video: A high-definition ground truth database
    • G J. Brostow, J. Fauqueur, and R. Cipolla. Semantic object classes in video: A high-definition ground truth database. Pattern Recognition Letters, 30(2):88-97, 2009.
    • (2009) Pattern Recognition Letters , vol.30 , Issue.2 , pp. 88-97
    • Brostow, G.J.1    Fauqueur, J.2    Cipolla, R.3
  • 10
    • 0036565814 scopus 로고    scopus 로고
    • Mean shift: A robust approach toward feature space
    • D. Comaniciu and P. Meer. Mean shift: A robust approach toward feature space. PAMI, 24(5):603-619, 2002.
    • (2002) PAMI , vol.24 , Issue.5 , pp. 603-619
    • Comaniciu, D.1    Meer, P.2
  • 11
    • 33645146449 scopus 로고    scopus 로고
    • Histograms of oriented gradients for human detection
    • N. Dalal and B. Triggs. Histograms of oriented gradients for human detection. In CVPR, Volume 1, pages 886-893, 2005.
    • (2005) CVPR , vol.1 , pp. 886-893
    • Dalal, N.1    Triggs, B.2
  • 12
    • 0041940256 scopus 로고    scopus 로고
    • Object class recognition by unsupervised scale-invariant learning
    • R. Fergus, P. Perona, and A. Zisserman. Object class recognition by unsupervised scale-invariant learning. In CVPR, Volume 2, pages 264-271, 2003.
    • (2003) CVPR , vol.2 , pp. 264-271
    • Fergus, R.1    Perona, P.2    Zisserman, A.3
  • 13
    • 5044223520 scopus 로고    scopus 로고
    • Learning and incorporating top-down cues in image segmentation
    • X. He, R. S. Zemel, and M. Á. Carreira-Perpiñán. Learning and incorporating top-down cues in image segmentation. In CVPR, Volume 2, pages 695-702, 2004.
    • (2004) CVPR , vol.2 , pp. 695-702
    • He, X.1    Zemel, R.S.2    Carreira-Perpiñán, M.A.3
  • 14
    • 34547216923 scopus 로고    scopus 로고
    • Recovering surface layout from an image
    • D. Hoiem, A. A. Efros, and M. Hebert. Recovering surface layout from an image. IJCV, 75(1):151-172, 2007.
    • (2007) IJCV , vol.75 , Issue.1 , pp. 151-172
    • Hoiem, D.1    Efros, A.A.2    Hebert, M.3
  • 15
    • 34948905773 scopus 로고    scopus 로고
    • 3 and beyond: Solving energies with higher order cliques
    • 3 and beyond: Solving energies with higher order cliques. In CVPR, 2007.
    • (2007) CVPR
    • Kohli, P.1    Kumar, M.P.2    Torr, P.H.S.3
  • 16
    • 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, 82:302-324, 2009.
    • (2009) IJCV , vol.82 , pp. 302-324
    • Kohli, P.1    Ladicky, L.2    Torr, P.H.S.3
  • 18
    • 77953225585 scopus 로고    scopus 로고
    • Associative hierarchical crfs for object class image segmentation
    • L. Ladicky, C. Russell, P. Kohli, and P. H. S. 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.S.4
  • 19
    • 0142192295 scopus 로고    scopus 로고
    • Conditional random fields: Probabilistic models for segmenting and labelling sequence data
    • J. Lafferty, A. McCallum, and F. Pereira. Conditional random fields: Probabilistic models for segmenting and labelling sequence data. In ICML, pages 282-289, 2001.
    • (2001) ICML , pp. 282-289
    • Lafferty, J.1    McCallum, A.2    Pereira, F.3
  • 20
    • 34547217558 scopus 로고    scopus 로고
    • Efficient belief propagation with learned higher-order Markov random fields
    • X. Lan, S. Roth, D. P. Huttenlocher, and M. J. Black. Efficient belief propagation with learned higher-order Markov random fields. In ECCV, Volume 2, pages 269-282, 2006.
    • (2006) ECCV , vol.2 , pp. 269-282
    • Lan, X.1    Roth, S.2    Huttenlocher, D.P.3    Black, M.J.4
  • 21
    • 58049184640 scopus 로고    scopus 로고
    • Learning to combine bottom-up and top-down segmentation
    • A. Levin and Y. Weiss. Learning to combine bottom-up and top-down segmentation. IJCV, 81(1):105-118, 2009.
    • (2009) IJCV , vol.81 , Issue.1 , pp. 105-118
    • Levin, A.1    Weiss, Y.2
  • 22
    • 24644467818 scopus 로고    scopus 로고
    • Fields of experts: A framework for learning image priors
    • S. Roth and M. J. Black. Fields of experts: A framework for learning image priors. In CVPR, Volume 2, pages 860-867, 2005.
    • (2005) CVPR , vol.2 , pp. 860-867
    • Roth, S.1    Black, M.J.2
  • 23
    • 84940605935 scopus 로고    scopus 로고
    • Triangle: Engineering a 2D quality mesh generator and delaunay triangulator
    • LNCS
    • J. R. Shewchuk. Triangle: Engineering a 2D quality mesh generator and delaunay triangulator. In First ACM Workshop on Applied Computational Geometry, Volume 1448, LNCS, pages 203-222, 1996.
    • (1996) First ACM Workshop on Applied Computational Geometry , vol.1448 , pp. 203-222
    • Shewchuk, J.R.1
  • 24
    • 0034244751 scopus 로고    scopus 로고
    • Normalized cuts and image segmentation
    • J. Shi and J. Malik. Normalized cuts and image segmentation. PAMI, 22(8):888-905, 2000.
    • (2000) PAMI , vol.22 , Issue.8 , pp. 888-905
    • Shi, J.1    Malik, J.2
  • 25
    • 33845423382 scopus 로고    scopus 로고
    • Texton boost: Joint appearance, shape and context modeling for multi-class object recognition and segmentation
    • J. Shotton, J. M. Winn, C. Rother, and A. Criminisi. Texton Boost: Joint appearance, shape and context modeling for multi-class object recognition and segmentation. In ECCV, Volume 1, pages 1-15, 2006.
    • (2006) ECCV , vol.1 , pp. 1-15
    • Shotton, J.1    Winn, J.M.2    Rother, C.3    Criminisi, A.4
  • 26
    • 51949114829 scopus 로고    scopus 로고
    • Semantic texton forests for image categorization and segmentation
    • J. Shotton, M. Johnson, and R. Cipolla. Semantic texton forests for image categorization and segmentation. In CVPR, 2008.
    • (2008) CVPR
    • Shotton, J.1    Johnson, M.2    Cipolla, R.3
  • 27
    • 5044224293 scopus 로고    scopus 로고
    • Sharing features: Efficient boosting procedures for multiclass object detection
    • A. Torralba, K. Murphy, and W. T. Freeman. Sharing features: Efficient boosting procedures for multiclass object detection. In CVPR, Volume 2, pages 762-769, 2004.
    • (2004) CVPR , vol.2 , pp. 762-769
    • Torralba, A.1    Murphy, K.2    Freeman, W.T.3
  • 28
    • 33745913325 scopus 로고    scopus 로고
    • Object categorization by learned universal visual dictionary
    • J. Winn, A. Criminisi, and T. Minka. Object categorization by learned universal visual dictionary. In ICCV, Volume 2, pages 1800-1807, 2005.
    • (2005) ICCV , vol.2 , pp. 1800-1807
    • Winn, J.1    Criminisi, A.2    Minka, T.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.