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Volumn I, Issue , 2005, Pages 1113-1120

The modified pbM-estimator method and a runtime analysis technique for the RANSAC family

Author keywords

[No Author keywords available]

Indexed keywords

DATA REDUCTION; PARAMETER ESTIMATION; REGRESSION ANALYSIS; ROBUSTNESS (CONTROL SYSTEMS);

EID: 33745174195     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2005.341     Document Type: Conference Paper
Times cited : (13)

References (13)
  • 3
    • 33745175816 scopus 로고    scopus 로고
    • Locally optimized RANSAC
    • O. Chum, J. Matas, and J.V. Kittler. Locally optimized RANSAC. In DAGM03, pages 236-243, 2003.
    • (2003) DAGM03 , pp. 236-243
    • Chum, O.1    Matas, J.2    Kittler, J.V.3
  • 4
    • 0019574599 scopus 로고
    • Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography
    • June
    • M.A. Fischler and R.C. Belles. Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography. Comm. of the ACM, 24(6):381-395, June 1981.
    • (1981) Comm. of the ACM , vol.24 , Issue.6 , pp. 381-395
    • Fischler, M.A.1    Belles, R.C.2
  • 5
    • 0031167379 scopus 로고    scopus 로고
    • In defense of the eight-point algorithm
    • June
    • R.I. Hartley. In defense of the eight-point algorithm. IEEE Trans. Patt. Anal. Mach. Imell., 19(6):580-593, June 1997.
    • (1997) IEEE Trans. Patt. Anal. Mach. Imell. , vol.19 , Issue.6 , pp. 580-593
    • Hartley, R.I.1
  • 6
    • 0034206736 scopus 로고    scopus 로고
    • Heteroscedastic regression in computer vision: Problems with bilinear constraint
    • June
    • Y. Leedan and P. Meer. Heteroscedastic regression in computer vision: Problems with bilinear constraint. Int. J. of Comp. Vision, 37(2):127-150, June 2000.
    • (2000) Int. J. of Comp. Vision , vol.37 , Issue.2 , pp. 127-150
    • Leedan, Y.1    Meer, P.2
  • 7
    • 0002603998 scopus 로고
    • Robust regression
    • David C. Hoaglin, Frederick Mosteller, and John W. Tukey, editors, John Wiley and Sons
    • G. Li. Robust regression. In David C. Hoaglin, Frederick Mosteller, and John W. Tukey, editors, Exploring Data Tables, Trends, and Shapes, pages 461-513. John Wiley and Sons, 1985.
    • (1985) Exploring Data Tables, Trends, and Shapes , pp. 461-513
    • Li, G.1
  • 8
    • 3142780205 scopus 로고    scopus 로고
    • Randomized RANSAC with Td,d test
    • September
    • J. Matas and O. Churn. Randomized RANSAC with Td,d test. Image and Vision Computing, 22(10):837-842, September 2004.
    • (2004) Image and Vision Computing , vol.22 , Issue.10 , pp. 837-842
    • Matas, J.1    Churn, O.2
  • 10
    • 84944414878 scopus 로고    scopus 로고
    • Guided sampling and consensus for motion estimation
    • Copenhagen, Denmark, May
    • B. Tordoff and D.W. Murray. Guided sampling and consensus for motion estimation. In In 7th European Conference on Computer Vision, volume 1, pages 82-96, Copenhagen, Denmark, May 2002.
    • (2002) 7th European Conference on Computer Vision , vol.1 , pp. 82-96
    • Tordoff, B.1    Murray, D.W.2
  • 11
    • 0031233843 scopus 로고    scopus 로고
    • The development and comparison of robust methods for estimating the fundamental matrix
    • October
    • P.H.S. Torr and D.W. Murray. The development and comparison of robust methods for estimating the fundamental matrix. Int. J. of Comp. Vision. 24(3):271-300, October 1997.
    • (1997) Int. J. of Comp. 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
    • April
    • P.H.S. Torr and A. Zisserman. MLESAC: A new robust estimator with application to estimating image geometry. Comp. Vis. Im. Understanding, 78(1):138-156, April 2000.
    • (2000) Comp. Vis. Im. Understanding , vol.78 , Issue.1 , pp. 138-156
    • Torr, P.H.S.1    Zisserman, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.