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Volumn , Issue , 2009, Pages 678-685

Spectral clustering of linear subspaces for motion segmentation

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC SEGMENTATIONS; BENCHMARK DATABASE; COMPUTATIONAL SPEED; DATA-DRIVEN; FEATURE POINT; LINEAR SUBSPACE; LOWER AND UPPER BOUNDS; MOTION SEGMENTATION; MULTIPLE MOTIONS; SEGMENTATION ACCURACY; SPECTRAL CLUSTERING; STATE-OF-THE-ART METHODS;

EID: 77953190742     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2009.5459173     Document Type: Conference Paper
Times cited : (140)

References (18)
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    • 77953213007 scopus 로고    scopus 로고
    • Foundations of a multi-way spectral clustering framework for hybrid linear modeling
    • G. Chen and G. Lerman. Foundations of a multi-way spectral clustering framework for hybrid linear modeling. Foundations of Computational Mathematics, 2008.
    • (2008) Foundations of Computational Mathematics
    • Chen, G.1    Lerman, G.2
  • 2
    • 58149494138 scopus 로고    scopus 로고
    • Spectral curvature clustering (SCC)
    • G. Chen and G. Lerman. Spectral curvature clustering (SCC). Int. J. of Computer Vision, 81(3):317-330, 2009.
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    • Chen, G.1    Lerman, G.2
  • 4
    • 14844345893 scopus 로고    scopus 로고
    • Motion competition: A variational approach to piecewise parametric motion segmentation
    • D. Cremers and S. Soatto. Motion competition: A variational approach to piecewise parametric motion segmentation. Int. J. of Computer Vision, 62(3):249-265, 2005.
    • (2005) Int. J. of Computer Vision , vol.62 , Issue.3 , pp. 249-265
    • Cremers, D.1    Soatto, S.2
  • 6
  • 7
    • 0034843849 scopus 로고    scopus 로고
    • Motion segmentation by subspace separation and model selection
    • K. Kanatani. Motion segmentation by subspace separation and model selection. In Proc. of the IEEE Int. Conf. on Computer Vision (ICCV), volume 2, pages 586-591, 2001.
    • (2001) Proc. of the IEEE Int. Conf. on Computer Vision (ICCV) , vol.2 , pp. 586-591
    • Kanatani, K.1
  • 8
    • 3142715174 scopus 로고    scopus 로고
    • Multi-stage optimization for multi-body motion segmentation
    • K. Kanatani and Y. Sugaya. Multi-stage optimization for multi-body motion segmentation. IEICE Trans. on Information and Systems, E87-D(7):1935-1942, 2004.
    • (2004) IEICE Trans. on Information and Systems , vol.E87-D , Issue.7 , pp. 1935-1942
    • Kanatani, K.1    Sugaya, Y.2
  • 10
    • 33745821896 scopus 로고    scopus 로고
    • Spectral clustering for robust motion segmentation
    • Proc. of the 8th Eur. Conf. on Computer Vision (ECCV)
    • J. Park, H. Zha, and R. Kasturi. Spectral clustering for robust motion segmentation. In Proc. of the 8th Eur. Conf. on Computer Vision (ECCV), volume 3024 of LNCS, pages 390-401, 2004.
    • (2004) LNCS , vol.3024 , pp. 390-401
    • Park, J.1    Zha, H.2    Kasturi, R.3
  • 15
    • 34548583274 scopus 로고    scopus 로고
    • A tutorial on spectral clustering
    • U. von Luxburg. A tutorial on spectral clustering. Statistics and Computing, 17(4):395-416, 2007.
    • (2007) Statistics and Computing , vol.17 , Issue.4 , pp. 395-416
    • Von Luxburg, U.1
  • 17
    • 33745812742 scopus 로고    scopus 로고
    • A general framework for motion segmentation: Independent, articulated, rigid, non-rigid, degenerate and non-degenerate
    • Proc. of the 9th Eur. Conf. on Computer Vision (ECCV)
    • J. Yan and M. Pollefeys. A general framework for motion segmentation: Independent, articulated, rigid, non-rigid, degenerate and non-degenerate. In Proc. of the 9th Eur. Conf. on Computer Vision (ECCV), volume 3954 of LNCS, pages 94-106, 2006.
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    • Yan, J.1    Pollefeys, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.