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Volumn 3951 LNCS, Issue , 2006, Pages 301-312

Subspace estimation using projection based M-estimators over grassmann manifolds

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL COMPLEXITY; COMPUTATIONAL METHODS; COMPUTER VISION; DATA REDUCTION; ROBUSTNESS (CONTROL SYSTEMS);

EID: 33745814768     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11744023_24     Document Type: Conference Paper
Times cited : (22)

References (20)
  • 1
    • 21144461900 scopus 로고
    • Robust singular value decompositions: A new approach to projection pursuit
    • L. P. Ammann, "Robust singular value decompositions: A new approach to projection pursuit," J. of Amer. Stat. Assoc., vol. 88, no. 422, pp. 505-514, 1993.
    • (1993) J. of Amer. Stat. Assoc. , vol.88 , Issue.422 , pp. 505-514
    • Ammann, L.P.1
  • 2
    • 0001011286 scopus 로고
    • Robust procedures in multivariate analysis I: Robust covariance estimation
    • N. A. Campbell, "Robust procedures in multivariate analysis i: Robust covariance estimation," Applied Statistics, vol. 29, no. 3, pp. 231-237, 1980.
    • (1980) Applied Statistics , vol.29 , Issue.3 , pp. 231-237
    • Campbell, N.A.1
  • 3
    • 0344552324 scopus 로고    scopus 로고
    • Robust regression with projection based M-estimators
    • (Nice, France), Oct
    • H. Chen and P. Meer, "Robust regression with projection based M-estimators," in 9th Intl. Conf. on Computer Vision, (Nice, France), Oct 2003, pp. 878-885.
    • (2003) 9th Intl. Conf. on Computer Vision , pp. 878-885
    • Chen, H.1    Meer, P.2
  • 4
    • 0036565814 scopus 로고    scopus 로고
    • Mean shift: A robust approach toward feature space analysis
    • May
    • D. Comaniciu and P. Meer, "Mean shift: A robust approach toward feature space analysis," IEEE Trans. Pattern Anal. Machine Intell., vol. 24, pp. 603-619, May 2002.
    • (2002) IEEE Trans. Pattern Anal. Machine Intell. , vol.24 , pp. 603-619
    • Comaniciu, D.1    Meer, P.2
  • 5
    • 0029227157 scopus 로고
    • A multi-body factorization method for motion analysis
    • Cambridge, MA
    • J. Costeira and T. Kanade, "A multi-body factorization method for motion analysis," in Proc. 5th Intl. Conf. on Computer Vision, Cambridge, MA, 1995, pp. 1071-1076.
    • (1995) Proc. 5th Intl. Conf. on Computer Vision , pp. 1071-1076
    • Costeira, J.1    Kanade, T.2
  • 7
    • 0019574599 scopus 로고
    • Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography
    • M. A. Fischler and R. C. Bolles, "Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography," Comm. Assoc. Comp. Mach, vol. 24, no. 6, pp. 381-395, 1981.
    • (1981) Comm. Assoc. Comp. Mach , vol.24 , Issue.6 , pp. 381-395
    • Fischler, M.A.1    Bolles, R.C.2
  • 8
    • 0032132014 scopus 로고    scopus 로고
    • Multibody grouping from motion images
    • C. W. Gear, "Multibody grouping from motion images," International J. of Computer Vision, vol. 29, no. 2, pp. 133-150, 1998.
    • (1998) International J. of Computer Vision , vol.29 , Issue.2 , pp. 133-150
    • Gear, C.W.1
  • 9
    • 3042580897 scopus 로고    scopus 로고
    • Point matching under large image deformations and illumination changes
    • B. Georgescu and P. Meer, "Point matching under large image deformations and illumination changes," IEEE Trans. Pattern Anal. Machine Intell., vol. 26, pp. 674-689, 2004.
    • (2004) IEEE Trans. Pattern Anal. Machine Intell. , vol.26 , pp. 674-689
    • Georgescu, B.1    Meer, P.2
  • 10
    • 0034843849 scopus 로고    scopus 로고
    • Motion segmentation by subspace separation and model selection
    • (Vancouver, Canada), July
    • K. Kanatani, "Motion segmentation by subspace separation and model selection," in 8th Intl. Conf. on Computer Vision, volume II, (Vancouver, Canada), July 2001, pp. 301-306.
    • (2001) 8th Intl. Conf. on Computer Vision , vol.2 , pp. 301-306
    • Kanatani, K.1
  • 11
    • 0033712761 scopus 로고    scopus 로고
    • A general method for errors-in-variables problems in computer vision
    • (Hilton Head Island, SC), June
    • B. Matei and P. Meer, "A general method for errors-in-variables problems in computer vision," in 2000 IEEE Conf. on Computer Vision and Pattern Recognition, volume II, (Hilton Head Island, SC), June 2000, pp. 18-25.
    • (2000) 2000 IEEE Conf. on Computer Vision and Pattern Recognition , vol.2 , pp. 18-25
    • Matei, B.1    Meer, P.2
  • 12
    • 0034244751 scopus 로고    scopus 로고
    • Normalized cuts and image segmentation
    • J. Shi and J. Malik, "Normalized cuts and image segmentation," IEEE Trans. Pattern Anal. Machine Intell., vol. 22, no. 8, pp. 888-905, 2000.
    • (2000) IEEE Trans. Pattern Anal. Machine Intell. , vol.22 , Issue.8 , pp. 888-905
    • Shi, J.1    Malik, J.2
  • 14
    • 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," Intl. J. of Computer Vision, vol. 9, no. 2, pp. 137-154, 1992.
    • (1992) Intl. J. of Computer Vision , vol.9 , Issue.2 , pp. 137-154
    • Tomasi, C.1    Kanade, T.2
  • 15
    • 0031233843 scopus 로고    scopus 로고
    • The development and comparison of robust methods for estimating the fundamental matrix
    • P. H. S. Torr and D. W. Murray, "The development and comparison of robust methods for estimating the fundamental matrix," Intl. J. of Computer Vision, vol. 24, no. 3, pp. 271-300, 1997.
    • (1997) Intl. J. of Computer Vision , vol.24 , Issue.3 , pp. 271-300
    • Torr, P.H.S.1    Murray, D.W.2
  • 16
    • 5044234186 scopus 로고    scopus 로고
    • A new GPCA algorithm for clustering subspaces by fitting, differentiating and dividing polynomials
    • Washington, DC
    • R. Vidal, Y. Ma, and J. Piazzi, "A new GPCA algorithm for clustering subspaces by fitting, differentiating and dividing polynomials, " in Proc. IEEE Conf. on Computer Vision and Pattern Recognition, Washington, DC, vol. I, 2004, pp. 510-517.
    • (2004) Proc. IEEE Conf. on Computer Vision and Pattern Recognition , vol.1 , pp. 510-517
    • Vidal, R.1    Ma, Y.2    Piazzi, J.3
  • 19
    • 33845575858 scopus 로고    scopus 로고
    • Geometric structure of degeneracy for multi-body motion segmentation
    • D.Comaniciu et al., editor, no. 3247 in LNCS, Springer-Verlag, Berlin, Dec
    • Y.Sugaya and K. Kanatani, "Geometric structure of degeneracy for multi-body motion segmentation," in D.Comaniciu et al., editor, The 2nd Workshop on Statistical Methods in Video Processing, no. 3247 in LNCS, pp. 1-2, Springer-Verlag, Berlin, Dec 2004.
    • (2004) The 2nd Workshop on Statistical Methods in Video Processing , pp. 1-2
    • Sugaya, Y.1    Kanatani, K.2
  • 20
    • 0041438830 scopus 로고    scopus 로고
    • Degeneracies, dependencies and their implications in multi-body and multi-sequence factorizations
    • Madison, WI
    • L. Zelnik-Manor and M. Irani, "Degeneracies, dependencies and their implications in multi-body and multi-sequence factorizations," in Proc. IEEE Conf. on Computer Vision and Pattern Recognition, Madison, WI, number 2, 2003, pp. 297-293.
    • (2003) Proc. IEEE Conf. on Computer Vision and Pattern Recognition , vol.2 , pp. 297-1293
    • Zelnik-Manor, L.1    Irani, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.