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Volumn , Issue , 2006, Pages 854-860

Generalized RANSAC framework for relaxed correspondence problems

Author keywords

[No Author keywords available]

Indexed keywords

DATA HANDLING; DATA VISUALIZATION; OBJECT RECOGNITION; THREE DIMENSIONAL COMPUTER GRAPHICS; VISUALIZATION;

EID: 47249114453     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/3DPVT.2006.67     Document Type: Conference Paper
Times cited : (40)

References (18)
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    • Tuytelaars, T.1    Van Gool, L.2
  • 7
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    • Robust wide baseline stereo from maximally stable extremal regions
    • Jiri Matas, Ondrej Chum, M. Urban, and Tomas Pajdla, "Robust wide baseline stereo from maximally stable extremal regions," in BMVC'02, 2002, pp. 384-393.
    • (2002) BMVC'02 , pp. 384-393
    • Matas, J.1    Ondrej Chum, M.U.2    Pajdla, T.3
  • 8
    • 34047254904 scopus 로고    scopus 로고
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    • K. Mikolajczk and C. Schmid, "A performance evaluation of local descriptors," in CVPR 2003, 2003.
    • (2003) CVPR 2003
    • Mikolajczk, K.1    Schmid, C.2
  • 10
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    • June
    • E. Mortensen, H. Deng, and L. Shapiro, "A sift descriptor with global context." in CVPR'05, June 2005.
    • (2005) CVPR'05
    • Mortensen, E.1    Deng, H.2    Shapiro, L.3
  • 13
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    • 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," in ECCV96, 1996, pp. 683-695.
    • (1996) ECCV96 , pp. 683-695
    • Fischler, M.A.1    Bolles, R.C.2
  • 14
    • 0344939393 scopus 로고    scopus 로고
    • Randomized ransac with t(d,d) test
    • Jiri Matas and Ondrej Chum, "Randomized ransac with t(d,d) test," in BMVC02, 2002, pp. 448-457.
    • (2002) BMVC02 , pp. 448-457
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  • 15
    • 0012454884 scopus 로고    scopus 로고
    • Napsac: High noise, high dimensional model parameterisation - its in the bag
    • DR Myatt, PHS Torr, SJ Nasuto, and RJ Craddock, "Napsac: High noise, high dimensional model parameterisation - its in the bag," in BMVC'02, 2002, pp. 458-467.
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    • Myatt, D.R.1    Torr, P.H.S.2    Nasuto, S.J.3    Craddock, R.J.4
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    • Mlesac: A new robust estimator with application to estimating image geometry
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    • Torr, P.1    Zisserman, A.2
  • 17
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    • June
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.