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Volumn 1654, Issue , 1999, Pages 205-220

A new algorithm for energy minimization with discontinuities

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; APPROXIMATION ALGORITHMS; COMPUTER VISION; GRAPHIC METHODS; IMAGE MATCHING; PATTERN RECOGNITION; PIXELS; STEREO IMAGE PROCESSING;

EID: 84958758255     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-48432-9_15     Document Type: Conference Paper
Times cited : (21)

References (19)
  • 2
    • 0001789533 scopus 로고
    • Stochastic stereo matchingo ver scale
    • Stephen Barnard
    • Stephen Barnard. Stochastic stereo matchingo ver scale. International Journal of Computer Vision, 3(1):17–32, 1989.
    • (1989) International Journal of Computer Vision , vol.3 , Issue.1 , pp. 17-32
  • 5
    • 0024480752 scopus 로고
    • Comparison of the efficiency of deterministic and stochastic algorithms for visual reconstruction
    • Andrew Blake. Comparison of the efficiency of deterministic and stochastic algorithms for visual reconstruction. IEEE Transactions on Pattern Analysis and Machine Intelligence, 11(1):2–12, January 1989.
    • (1989) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.11 , Issue.1 , pp. 2-12
    • Blake, A.1
  • 6
    • 84958803427 scopus 로고    scopus 로고
    • In review. Available from, An earlier version of this paper appeared in CVPR’98
    • Yuri Boykov, Olga Veksler, and Ramin Zabih. Energy minimization with discontinuities. In review. Available from http://www.cs.cornell.edu/home/rdz. An earlier version of this paper appeared in CVPR’98.
    • Energy Minimization with Discontinuities
    • Boykov, Y.1    Veksler, O.2    Zabih, R.3
  • 15
    • 0022417790 scopus 로고
    • Computational vision and regularization theory
    • Tomaso Poggio, Vincent Torre, and Christof Koch. Computational vision and regularization theory. Nature, 317:314–319, 1985.
    • (1985) Nature , vol.317 , pp. 314-319
    • Poggio, T.1    Torre, V.2    Koch, C.3
  • 17
    • 0000169287 scopus 로고
    • Bayesian modelingof uncertainty in low-level vision
    • December
    • R.S. Szeliski. Bayesian modelingof uncertainty in low-level vision. International Journal of Computer Vision, 5(3):271–302, December 1990.
    • (1990) International Journal of Computer Vision , vol.5 , Issue.3 , pp. 271-302
    • Szeliski, R.S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.