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Volumn , Issue , 2009, Pages 2193-2200

GroupSAC: Efficient consensus in the presence of groupings

Author keywords

[No Author keywords available]

Indexed keywords

BINOMIAL MODELS; CLUSTERING APPROACH; GROUPING STRATEGIES; MIXTURE MODEL; NEW MODEL; PERFORMANCE GAIN; RANSAC ALGORITHM; SAMPLE DATA; SAMPLING PROCEDURES; VISION PROBLEMS; WIDE-BASELINE MATCHING;

EID: 77953210919     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2009.5459241     Document Type: Conference Paper
Times cited : (177)

References (22)
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    • Comaniciu, D.1    Meer, P.2
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    • M. Fischler and R. Bolles. Random sample consensus: a paradigm for model fitting with application to image analysis and automated cartography. Commun. Assoc. Comp. Mach., 24:381-395, 1981.
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    • Fischler, M.1    Bolles, R.2
  • 9
    • 0004074813 scopus 로고    scopus 로고
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    • (1998) Combinatorial Theory
    • Hall, M.1
  • 11
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scale-invariant keypoints
    • D. Lowe. Distinctive image features from scale-invariant keypoints. Intl. J. of Computer Vision, 60(2), 2004.
    • (2004) Intl J. of Computer Vision , vol.60 , Issue.2
    • Lowe, D.1
  • 12
    • 3042525106 scopus 로고    scopus 로고
    • Learning to detect natural image boundaries using local brightness, color, and texture cues
    • D. R. Martin, C. C. Fowlkes, and J. Malik. Learning to detect natural image boundaries using local brightness, color, and texture cues. IEEE Trans. Pattern Anal. Machine Intell., 26(5):530-549, 2004.
    • (2004) IEEE Trans. Pattern Anal. Machine Intell. , vol.26 , Issue.5 , pp. 530-549
    • Martin, D.R.1    Fowlkes, C.C.2    Malik, J.3
  • 14
    • 33745902531 scopus 로고    scopus 로고
    • Randomized RANSAC with sequential probability ratio test
    • J. Matas and O. Chum. Randomized RANSAC with sequential probability ratio test. In Intl. Conf. on Computer Vision (ICCV), pages 1727-1732, 2005.
    • (2005) Intl. Conf. on Computer Vision (ICCV) , pp. 1727-1732
    • Matas, J.1    Chum, O.2
  • 19
    • 51849148010 scopus 로고    scopus 로고
    • Modeling the world from internet photo collections
    • November
    • N. Snavely, S. M. Seitz, and R. Szeliski. Modeling the world from internet photo collections. Intl. J. of Computer Vision, 80(2):189-210, November 2008.
    • (2008) Intl. J. of Computer Vision , vol.80 , Issue.2 , pp. 189-210
    • Snavely, N.1    Seitz, S.M.2    Szeliski, R.3
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    • MLESAC: A new robust estimator with application to estimating image geometry
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.