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Volumn 2005-September, Issue , 2005, Pages

Heteroscedastic projection based M-estimators

Author keywords

[No Author keywords available]

Indexed keywords

REGRESSION ANALYSIS;

EID: 85087589719     PISSN: 21607508     EISSN: 21607516     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2005.467     Document Type: Conference Paper
Times cited : (15)

References (14)
  • 2
    • 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
  • 4
    • 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
  • 5
    • 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
  • 7
    • 0033712761 scopus 로고    scopus 로고
    • A general method for errors-invariables problems in computer vision
    • Hilton Head Island, SC, June
    • B. Matei and P. Meer, “A general method for errors-invariables problems in computer vision,” in 2000 IEEE Computer Vision and Pattern Recognition Conference, volume II, (Hilton Head Island, SC), June 2000, pp. 18-25.
    • (2000) 2000 IEEE Computer Vision and Pattern Recognition Conference , vol.2 , pp. 18-25
    • Matei, B.1    Meer, P.2
  • 10
    • 35048847454 scopus 로고    scopus 로고
    • A robust probabilistic estimation framework for parametric image models
    • T. Pajdla and J. Matas, editors, Prague, Czech Republic, Springer-Verlag, May
    • M. Singh, H. Arora, and N. Ahuja, “A robust probabilistic estimation framework for parametric image models,” in T. Pajdla and J. Matas, editors, Computer Vision - ECCV 2004, volume I, (Prague, Czech Republic), Springer-Verlag, May 2004, pp. 508-522.
    • (2004) Computer Vision - ECCV 2004 , vol.1 , pp. 508-522
    • Singh, M.1    Arora, H.2    Ahuja, N.3
  • 11
    • 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,” International J. of Computer Vision, vol. 24, no. 3, pp. 271-300, 1997.
    • (1997) International J. Of Computer Vision , vol.24 , Issue.3 , pp. 271-300
    • Torr, P.H.S.1    Murray, D.W.2
  • 12
    • 0033894631 scopus 로고    scopus 로고
    • MLESAc: A new robust estimator with application to estimating image geometry
    • P. H. S. Torr and A. Zisserman, “MLESAC: A new robust estimator with application to estimating image geometry,” Computer Vision and Image Understanding, vol. 78, pp. 138-156, 2000.
    • (2000) Computer Vision and Image Understanding , vol.78 , pp. 138-156
    • Torr, P.H.S.1    Zisserman, A.2
  • 14
    • 35048878420 scopus 로고    scopus 로고
    • Robust fitting by adaptive-scale residual consensus
    • T. Pajdla and J. Matas, editors, Prague, Czech Republic, Springer-Verlag, May
    • H. Wang and D. Suter, “Robust fitting by adaptive-scale residual consensus,” in T. Pajdla and J. Matas, editors, Computer Vision - ECCV 2004, volume III, (Prague, Czech Republic), Springer-Verlag, May 2004, pp. 107-118.
    • (2004) Computer Vision - ECCV 2004 , vol.3 , pp. 107-118
    • Wang, H.1    Suter, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.