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Volumn , Issue , 2013, Pages 2011-2018

Image segmentation by cascaded region agglomeration

Author keywords

boundary detection; cascade; edge detection; Image segmentation; superpixels

Indexed keywords

BOUNDARY DETECTION; HIERARCHICAL SEGMENTATION; OVER SEGMENTATION; SEGMENTATION DATA; SUPERPIXELS;

EID: 84887396106     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2013.262     Document Type: Conference Paper
Times cited : (120)

References (25)
  • 2
    • 79953048649 scopus 로고    scopus 로고
    • Contour detection and hierarchical image segmentation
    • P. Arbelaez, M. Maire, C. Fowlkes, and J. Malik. Contour detection and hierarchical image segmentation. IEEE TPAMI, 33(5), 2011.
    • (2011) IEEE TPAMI , vol.33 , Issue.5
    • Arbelaez, P.1    Maire, M.2    Fowlkes, C.3    Malik, J.4
  • 4
    • 0036565814 scopus 로고    scopus 로고
    • Mean shift: A robust approach toward feature space analysis
    • D. Comaniciu and P. Meer. Mean shift: A robust approach toward feature space analysis. IEEE TPAMI, 24(5), 2002.
    • (2002) IEEE TPAMI , vol.24 , Issue.5
    • Comaniciu, D.1    Meer, P.2
  • 6
    • 9644254228 scopus 로고    scopus 로고
    • Efficient graph-based image segmentation
    • P. Felzenszwalb and D. Huttenlocher. Efficient graph-based image segmentation. IJCV, 59(2), 2004.
    • (2004) IJCV , vol.59 , Issue.2
    • Felzenszwalb, P.1    Huttenlocher, D.2
  • 7
    • 85078986900 scopus 로고    scopus 로고
    • Class segmentation and object localization with superpixel neighborhoods
    • B. Fulkerson, A. Vedaldi, and S. Soatto. Class segmentation and object localization with superpixel neighborhoods. In ICCV, 2009.
    • (2009) ICCV
    • Fulkerson, B.1    Vedaldi, A.2    Soatto, S.3
  • 8
    • 0344982828 scopus 로고    scopus 로고
    • Texture segmentation by multiscale aggregation of filter responses and shape elements
    • M. Galun, E. Sharon, R. Basri, and A. Brandt. Texture segmentation by multiscale aggregation of filter responses and shape elements. In ICCV, 2003.
    • (2003) ICCV
    • Galun, M.1    Sharon, E.2    Basri, R.3    Brandt, A.4
  • 9
    • 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
  • 10
  • 11
    • 79851509434 scopus 로고    scopus 로고
    • Recovering occlusion boundaries from an image
    • D. Hoiem, A. Efros, and M. Hebert. Recovering occlusion boundaries from an image. IJCV, 91(3), 2011.
    • (2011) IJCV , vol.91 , Issue.3
    • Hoiem, D.1    Efros, A.2    Hebert, M.3
  • 12
    • 85162443754 scopus 로고    scopus 로고
    • Higher-order correlation clustering for image segmentation
    • S. Kim, S. Nowozin, P. Kohli, and C. D. Yoo. Higher-order correlation clustering for image segmentation. In NIPS, 2011.
    • (2011) NIPS
    • Kim, S.1    Nowozin, S.2    Kohli, P.3    Yoo, C.D.4
  • 15
    • 84898492432 scopus 로고    scopus 로고
    • Improving spatial support for objects via multiple segmentations
    • September
    • T. Malisiewicz and A. A. Efros. Improving spatial support for objects via multiple segmentations. In BMVC, September 2007.
    • (2007) BMVC
    • Malisiewicz, T.1    Efros, A.A.2
  • 16
    • 0034850577 scopus 로고    scopus 로고
    • A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics
    • July
    • D. Martin, C. Fowlkes, D. Tal, and J. Malik. A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics. In ICCV, volume 2, July 2001.
    • (2001) ICCV , vol.2
    • Martin, D.1    Fowlkes, C.2    Tal, D.3    Malik, J.4
  • 17
    • 34948887911 scopus 로고    scopus 로고
    • Learning a classification model for segmentation
    • X. Ren and J. Malik. Learning a classification model for segmentation. In ICCV. IEEE, 2003.
    • (2003) ICCV. IEEE
    • Ren, X.1    Malik, J.2
  • 18
    • 0034244751 scopus 로고    scopus 로고
    • Normalized cuts and image segmentation
    • J. Shi and J. Malik. Normalized cuts and image segmentation. IEEE TPAMI, 22(8), 2000.
    • (2000) IEEE TPAMI , vol.22 , Issue.8
    • Shi, J.1    Malik, J.2
  • 19
    • 33845423382 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, 2006.
    • (2006) ECCV
    • Shotton, J.1    Winn, J.2    Rother, C.3    Criminisi, A.4
  • 20
    • 84870177850 scopus 로고    scopus 로고
    • Indoor segmentation and support inference from rgbd images
    • N. Silberman, D. Hoiem, P. Kohli, and R. Fergus. Indoor segmentation and support inference from rgbd images. In ECCV, 2012.
    • (2012) ECCV
    • Silberman, N.1    Hoiem, D.2    Kohli, P.3    Fergus, R.4
  • 22
    • 80052886953 scopus 로고    scopus 로고
    • Superpixels and supervoxels in an energy optimization framework
    • O. Veksler, Y. Boykov, and P. Mehrani. Superpixels and supervoxels in an energy optimization framework. ECCV, 2010.
    • (2010) ECCV
    • Veksler, O.1    Boykov, Y.2    Mehrani, P.3
  • 23
    • 0035680116 scopus 로고    scopus 로고
    • Rapid object detection using a boosted cascade of simple features
    • P. Viola and M. Jones. Rapid object detection using a boosted cascade of simple features. In CVPR, 2001.
    • (2001) CVPR
    • Viola, P.1    Jones, M.2
  • 24
    • 84887330061 scopus 로고    scopus 로고
    • SCALPEL: Segmentation cascades with localized priors and efficient learning
    • D. Weiss and B. Taskar. SCALPEL: Segmentation CAscades with Localized Priors and Efficient Learning. In CVPR, 2013.
    • (2013) CVPR
    • Weiss, D.1    Taskar, B.2
  • 25
    • 84866645852 scopus 로고    scopus 로고
    • Continuous markov random fields for robust stereo estimation
    • K. Yamaguchi, T. Hazan, D. McAllester, and R. Urtasun. Continuous markov random fields for robust stereo estimation. In ECCV, 2012.
    • (2012) ECCV
    • Yamaguchi, K.1    Hazan, T.2    McAllester, D.3    Urtasun, R.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.