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Volumn , Issue , 2007, Pages

Robust modelling and tracking of nonrigid objects using active-GNG

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER NETWORKS; COMPUTER VISION; IMAGE PROCESSING;

EID: 50949110789     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2007.4409179     Document Type: Conference Paper
Times cited : (9)

References (16)
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    • th European Conference on Computer Vision, ECCV 2006, LNCS 3951, pages 313-324, 2006.
    • th European Conference on Computer Vision, ECCV 2006, LNCS 3951, pages 313-324, 2006.
  • 2
    • 0026898892 scopus 로고
    • Quantifying the neighbourhood preservation of self-organizing feature maps
    • H. Bauer and K. Pawelzik. Quantifying the neighbourhood preservation of self-organizing feature maps. IEEE Transactions on Neural Networks, 3(4):570-579, 1992.
    • (1992) IEEE Transactions on Neural Networks , vol.3 , Issue.4 , pp. 570-579
    • Bauer, H.1    Pawelzik, K.2
  • 3
    • 33749259983 scopus 로고    scopus 로고
    • rd European Conference on Computer Vision, 1:299-308, 1994.
    • rd European Conference on Computer Vision, 1:299-308, 1994.
  • 8
    • 50949117708 scopus 로고    scopus 로고
    • B. Fritzke. A growing neural gas network learns topologies. In Advances in Neural Information Processing Systems 7 (NIPS'94), pages 625-632, 1995.
    • B. Fritzke. A growing neural gas network learns topologies. In Advances in Neural Information Processing Systems 7 (NIPS'94), pages 625-632, 1995.
  • 9
    • 30644459258 scopus 로고    scopus 로고
    • An incremental network for online unsupervised classification and topology learning
    • S. Furao and O. Hasegawa. An incremental network for online unsupervised classification and topology learning. The Journal of Neural Networks, 19(1):90-106, 2005.
    • (2005) The Journal of Neural Networks , vol.19 , Issue.1 , pp. 90-106
    • Furao, S.1    Hasegawa, O.2
  • 10
    • 50949129448 scopus 로고    scopus 로고
    • nd Joint Symposium on Neural Computation, 5:191-202, 1997.
    • nd Joint Symposium on Neural Computation, 5:191-202, 1997.
  • 11
    • 0033708479 scopus 로고    scopus 로고
    • A framework for automatic landmark identification using a new method of nonrigid correspondence
    • A. Hill, C. Taylor, and A. Brett. A framework for automatic landmark identification using a new method of nonrigid correspondence. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(3):241-251, 2000.
    • (2000) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.22 , Issue.3 , pp. 241-251
    • Hill, A.1    Taylor, C.2    Brett, A.3
  • 12
    • 0023209061 scopus 로고    scopus 로고
    • st Internationl Conference on Computer Vision, IEEE Computer Society Press, pages 259-268, 1987.
    • st Internationl Conference on Computer Vision, IEEE Computer Society Press, pages 259-268, 1987.
  • 14
    • 84956856850 scopus 로고    scopus 로고
    • th Conference on Information Processing in Medical Imaging, pages 29-42, 1997.
    • th Conference on Information Processing in Medical Imaging, pages 29-42, 1997.
  • 16
    • 33745868744 scopus 로고    scopus 로고
    • th European Conference on Computer Vision, ECCV 2006, LNCS 3953, pages 551-563, 2006.
    • th European Conference on Computer Vision, ECCV 2006, LNCS 3953, pages 551-563, 2006.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.