메뉴 건너뛰기




Volumn 2, Issue , 2004, Pages

Robust subspace clustering by combined use of kNND metric and SVD algorithm

Author keywords

[No Author keywords available]

Indexed keywords

EIGEN-DECOMPOSITION; SUBSPACE; SUBSPACE CLUSTERING; VIDEO SEGMENTATION;

EID: 5044224548     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (26)

References (29)
  • 2
    • 0030259484 scopus 로고    scopus 로고
    • Estimating optical flow in segmented images using variable-order parametric models with local deformations
    • M. J. Black and A. Jepson. Estimating optical flow in segmented images using variable-order parametric models with local deformations. PAMI, 18(10):972-986, 1996.
    • (1996) PAMI , vol.18 , Issue.10 , pp. 972-986
    • Black, M.J.1    Jepson, A.2
  • 3
    • 0032375671 scopus 로고    scopus 로고
    • Nearest neighbor clutter removal for estimating features in spatial point processes
    • S. Byers and A. E. Raftery. Nearest neighbor clutter removal for estimating features in spatial point processes. Journal of the American Statistical Association, 93(442):577-584.
    • Journal of the American Statistical Association , vol.93 , Issue.442 , pp. 577-584
    • Byers, S.1    Raftery, A.E.2
  • 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. PAMI, 24(5):603-619.
    • PAMI , vol.24 , Issue.5 , pp. 603-619
    • Comaniciu, D.1    Meer, P.2
  • 5
    • 0141742284 scopus 로고    scopus 로고
    • A framework for robust subspace learning
    • F. de la Torre and M. Black. A framework for robust subspace learning. IJCV, 54(1):117-142.
    • IJCV , vol.54 , Issue.1 , pp. 117-142
    • De La Torre, F.1    Black, M.2
  • 6
    • 0002629270 scopus 로고
    • Maximal likelihood form incomplete data via the em algorithm
    • A. Dempster, N. Laird, and D. Rubin. Maximal likelihood form incomplete data via the em algorithm. RoyalStat, B 39:1-38, 1977.
    • (1977) RoyalStat, B , vol.39 , pp. 1-38
    • Dempster, A.1    Laird, N.2    Rubin, D.3
  • 8
    • 0000750324 scopus 로고    scopus 로고
    • Detecting and tracking multiple moving objects using temporal integration
    • M. Irani, B. Rousso, and S. Peleg. Detecting and tracking multiple moving objects using temporal integration. In ECCV92.
    • ECCV92
    • Irani, M.1    Rousso, B.2    Peleg, S.3
  • 9
    • 0027882076 scopus 로고
    • Mixture models for optical flow computation
    • A. Jepson and M. Black. Mixture models for optical flow computation. In CVPR 1993, pages 760-761.
    • (1993) CVPR , pp. 760-761
    • Jepson, A.1    Black, M.2
  • 11
    • 5044238102 scopus 로고    scopus 로고
    • A robust subspace approach to extracting layers from image sequences
    • Carnegie Mellon University
    • Q. Ke. A robust subspace approach to extracting layers from image sequences. Technical Report CMU-CS-03-173, Carnegie Mellon University, 2003.
    • (2003) Technical Report CMU-CS-03-173
    • Ke, Q.1
  • 12
    • 0035683356 scopus 로고    scopus 로고
    • A subspace approach to layer extraction
    • Q. Ke and T. Kanade. A subspace approach to layer extraction. In CVPR 2001, pages I:255-262.
    • (2001) CVPR
    • Ke, Q.1    Kanade, T.2
  • 13
  • 14
    • 84899013108 scopus 로고    scopus 로고
    • On spectral clustering: Analysis and algorithm
    • A. Ng, M. Jordan, and Y. Weiss. On spectral clustering: analysis and algorithm. In Proc. of NIPS, 2002.
    • (2002) Proc. of NIPS
    • Ng, A.1    Jordan, M.2    Weiss, Y.3
  • 15
    • 0032048879 scopus 로고    scopus 로고
    • Direct incremental modelbased image motion segmentation for video analysis
    • J.-M. Odobez and P. Bouthemy. Direct incremental modelbased image motion segmentation for video analysis. Signal Processing, 66:143-155, 1998.
    • (1998) Signal Processing , vol.66 , pp. 143-155
    • Odobez, J.-M.1    Bouthemy, P.2
  • 16
    • 0030216923 scopus 로고    scopus 로고
    • Compact representations of videos through dominantand mulitple motion estimation
    • H. Sawhney and S. Ayer. Compact representations of videos through dominantand mulitple motion estimation. PAMI, 18:814-831, 1996.
    • (1996) PAMI , vol.18 , pp. 814-831
    • Sawhney, H.1    Ayer, S.2
  • 17
    • 0032316381 scopus 로고    scopus 로고
    • Motion segmentation and tracking using normalized cuts
    • J. Shi and J. Malik. Motion segmentation and tracking using normalized cuts. In ICCV'98.
    • ICCV'98
    • Shi, J.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 Trans. on PAMI, 22(8):888-905, 2000.
    • (2000) IEEE Trans. on PAMI , vol.22 , Issue.8 , pp. 888-905
    • Shi, J.1    Malik, J.2
  • 19
    • 0029373923 scopus 로고    scopus 로고
    • Principal component analysis with missing data and its application to polyhedral object modeling
    • H.-Y. Shum, K. Ikeuchi, and R. Reddy. Principal component analysis with missing data and its application to polyhedral object modeling. IEEE Trans. on PAMI, 17(8):854-867.
    • IEEE Trans. on PAMI , vol.17 , Issue.8 , pp. 854-867
    • Shum, H.-Y.1    Ikeuchi, K.2    Reddy, R.3
  • 20
    • 0029391811 scopus 로고    scopus 로고
    • Minpran: A new robust estimator for computer vision
    • C. Stewart. Minpran: A new robust estimator for computer vision. PAMI, 17(10):925-938.
    • PAMI , vol.17 , Issue.10 , pp. 925-938
    • Stewart, C.1
  • 21
    • 0036225889 scopus 로고    scopus 로고
    • Object tracking with bayesian estimation of dynamic layer representations
    • January
    • H. Tao, H. Sawhney, and R. Kumar. Object tracking with bayesian estimation of dynamic layer representations. PAMI, 24(1):75-89, January 2002.
    • (2002) PAMI , vol.24 , Issue.1 , pp. 75-89
    • Tao, H.1    Sawhney, H.2    Kumar, R.3
  • 22
    • 84949206992 scopus 로고    scopus 로고
    • Global matching criterion and color segmentation based seereo
    • H. Tao and H. S. Sawhney. Global matching criterion and color segmentation based seereo. In WACV2000.
    • WACV2000
    • Tao, H.1    Sawhney, H.S.2
  • 23
    • 0026943737 scopus 로고
    • Shape and motion from image streams under orthography: A factorization method
    • C. Tomasi and T. Kanade. Shape and motion from image streams under orthography: A factorization method. IJCV, 9(2), 1992.
    • (1992) IJCV , vol.9 , Issue.2
    • Tomasi, C.1    Kanade, T.2
  • 24
    • 85138838290 scopus 로고    scopus 로고
    • An integrated bayesian approach to layer extraction from image sequences
    • P. Torr, R. Szeliski, and P. Anandan. An integrated bayesian approach to layer extraction from image sequences. In ICCV99.
    • ICCV99
    • Torr, P.1    Szeliski, R.2    Anandan, P.3
  • 26
    • 0029706940 scopus 로고    scopus 로고
    • A unified mixture framework for motion segmentation: Incorporating spatial coherence and estimating the number of models
    • Y. Weiss and E. Adelson. A unified mixture framework for motion segmentation: Incorporating spatial coherence and estimating the number of models. In CVPR96.
    • CVPR96
    • Weiss, Y.1    Adelson, E.2
  • 27
    • 5044228111 scopus 로고    scopus 로고
    • Motion layer extraction in the presence of occlusion using graph cut
    • J. Xiao and M. Shah. Motion layer extraction in the presence of occlusion using graph cut. In CVPR 2004.
    • CVPR 2004
    • Xiao, J.1    Shah, M.2
  • 28
    • 0344551898 scopus 로고    scopus 로고
    • Multiclass spectral clustering
    • S. Yu and J. Shi. Multiclass spectral clustering. In Proc. of ICCV, 2003.
    • (2003) Proc. of ICCV
    • Yu, S.1    Shi, J.2
  • 29
    • 0034291372 scopus 로고    scopus 로고
    • Multi-frame estimation of planar motion
    • L. Zelnik-Manor and M. Irani. Multi-frame estimation of planar motion. PAMI, 22(10), 2000.
    • (2000) PAMI , vol.22 , Issue.10
    • Zelnik-Manor, L.1    Irani, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.