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Volumn , Issue , 2014, Pages

Mining structure fragments for smart Bundle Adjustment

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; DATA MINING;

EID: 84919775191     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (13)

References (27)
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    • G.H. Golub and C.F. Van Loan. Matrix Computations. Johns Hopkins University Press, Baltimore, third edition, 1996.
    • (1996) Matrix Computations
    • Golub, G.H.1    Van Loan, C.F.2
  • 9
    • 31844443295 scopus 로고    scopus 로고
    • Efficiently using prefix-trees in mining frequent itemsets
    • G. Grahne and J. Zhu. Efficiently using prefix-trees in mining frequent itemsets. In FIMI, volume 3, pages 110-121, 2003.
    • (2003) FIMI , vol.3 , pp. 110-121
    • Grahne, G.1    Zhu, J.2
  • 10
    • 0039253846 scopus 로고    scopus 로고
    • Mining frequent patterns without candidate generation
    • ACM
    • J. Han, J. Pei, and Y. Yin. Mining frequent patterns without candidate generation. In ACM SIGMOD Record, volume 29, pages 1-12. ACM, 2000.
    • (2000) ACM SIGMOD Record , vol.29 , pp. 1-12
    • Han, J.1    Pei, J.2    Yin, Y.3
  • 11
    • 34547335088 scopus 로고    scopus 로고
    • Frequent pattern mining: Current status and future directions
    • J. Han, H. Cheng, D. Xin, and X. Yan. Frequent pattern mining: current status and future directions. Data Mining and Knowledge Discovery, 15(1):55-86, 2007.
    • (2007) Data Mining and Knowledge Discovery , vol.15 , Issue.1 , pp. 55-86
    • Han, J.1    Cheng, H.2    Xin, D.3    Yan, X.4
  • 20
    • 33745925296 scopus 로고    scopus 로고
    • Is levenberg-marquardt the most efficient optimization algorithm for implementing bundle adjustment?
    • M.I.A. Lourakis and A.A. Argyros. Is Levenberg-Marquardt the most efficient optimization algorithm for implementing bundle adjustment? In Intl. Conf. on Computer Vision (ICCV), volume 2, pages 1526-1531, 2005.
    • (2005) Intl. Conf. on Computer Vision (ICCV , vol.2 , pp. 1526-1531
    • Lourakis, M.I.A.1    Argyros, A.A.2
  • 21
    • 67649243035 scopus 로고    scopus 로고
    • SBA: A software package for generic sparse bundle adjustment
    • M.I.A. Lourakis and A.A. Argyros. SBA: A Software Package for Generic Sparse Bundle Adjustment. ACM Trans. Math. Software, 36(1):1-30, 2009. doi: http://doi.acm.org/10.1145/1486525.1486527.
    • (2009) ACM Trans. Math. Software , vol.36 , Issue.1 , pp. 1-30
    • Lourakis, M.I.A.1    Argyros, A.A.2
  • 23
    • 77954042067 scopus 로고    scopus 로고
    • Vast scale outdoor navigation using adaptive relative bundle adjustment
    • G. Sibley, C. Mei, I. Reid, and P. Newman. Vast scale outdoor navigation using adaptive relative bundle adjustment. Intl. J. of Robotics Research, 29(8):958-980, 2010.
    • (2010) Intl. J. of Robotics Research , vol.29 , Issue.8 , pp. 958-980
    • Sibley, G.1    Mei, C.2    Reid, I.3    Newman, P.4
  • 24
    • 33749254973 scopus 로고    scopus 로고
    • Photo tourism: Exploring photo collections in 3D
    • N. Snavely, S.M. Seitz, and R. Szeliski. Photo tourism: Exploring photo collections in 3D. In SIGGRAPH, pages 835-846, 2006.
    • (2006) SIGGRAPH , pp. 835-846
    • Snavely, N.1    Seitz, S.M.2    Szeliski, R.3
  • 26
    • 51849148010 scopus 로고    scopus 로고
    • Modeling the world from Internet photo collections
    • N. Snavely, S. M. Seitz, and R. Szeliski. Modeling the world from Internet photo collections. Intl. J. of Computer Vision, 80(2):189-210, 2008.
    • (2008) Intl. J. of Computer Vision , vol.80 , Issue.2 , pp. 189-210
    • Snavely, N.1    Seitz, S.M.2    Szeliski, R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.