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Volumn 2616, Issue , 2003, Pages 72-85

All points considered: A maximum likelihood method for motion recovery

Author keywords

[No Author keywords available]

Indexed keywords

ALGEBRA; COMPUTER VISION; COST FUNCTIONS;

EID: 21144447099     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-36586-9_5     Document Type: Article
Times cited : (3)

References (12)
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  • 2
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    • Hartley, R.I.1
  • 5
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    • Geometric computation for machine vision
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    • (1993) Oxford University Press
    • Kanatani, K.1
  • 6
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    • K. Kanatani. Statistical-analysis of geometric computation. CVGIP, 59(3):286-306, May 1994.
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    • Kanatani, K.1
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    • Parameter estimates for a pencil of lines: Bounds and estimators
    • G. Speyer and M. Werman. Parameter estimates for a pencil of lines: Bounds and estimators. In ECCV, 2002.
    • (2002) ECCV
    • Speyer, G.1    Werman, M.2
  • 10
    • 0000195504 scopus 로고    scopus 로고
    • Concerning Bayesian motion segmentation, model averaging, matching and the trifocal tensor
    • H. Burkharddt and B. Neumann, editors. Springer
    • P. H. S. Torr and A. Zisserman. Concerning Bayesian motion segmentation, model averaging, matching and the trifocal tensor. In H. Burkharddt and B. Neumann, editors, ECCV98 Vol 1, pages 511-528. Springer, 1998.
    • (1998) ECCV98 Vol 1 , vol.1 , pp. 511-528
    • Torr, P.H.S.1    Zisserman, A.2
  • 11
    • 0035332903 scopus 로고    scopus 로고
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    • Zhang, Z.1    Deriche, R.2    Faugeras, O.3    Luong, Q.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.