메뉴 건너뛰기




Volumn 4796 LNCS, Issue , 2007, Pages 98-107

Nonparametric modelling and tracking with active-GNG

Author keywords

[No Author keywords available]

Indexed keywords

GESTURE RECOGNITION; LEARNING SYSTEMS; PROBLEM SOLVING;

EID: 38149106494     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-75773-3_11     Document Type: Conference Paper
Times cited : (4)

References (11)
  • 1
    • 33745832324 scopus 로고    scopus 로고
    • Angelopoulou, A., García, J., Psarrou, A.: Learning 2d hand shapes using the topology preservation model gng. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006. LNCS, 3951, pp. 313-324. Springer, Heidelberg (2006)
    • Angelopoulou, A., García, J., Psarrou, A.: Learning 2d hand shapes using the topology preservation model gng. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006. LNCS, vol. 3951, pp. 313-324. Springer, Heidelberg (2006)
  • 2
    • 0026898892 scopus 로고
    • Quantifying the neighbourhood preservation of selforganizing feature maps
    • Bauer, H.U., Pawelzik, K.R.: Quantifying the neighbourhood preservation of selforganizing 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.U.1    Pawelzik, K.R.2
  • 3
    • 33749259983 scopus 로고    scopus 로고
    • Baumberg, A., Hogg, D.: Learning flexible models from image sequences. In: Eklundh, J.-O. (ed.) ECCV 1994. LNCS, 800, pp. 299-308. Springer, Heidelberg (1994)
    • Baumberg, A., Hogg, D.: Learning flexible models from image sequences. In: Eklundh, J.-O. (ed.) ECCV 1994. LNCS, vol. 800, pp. 299-308. Springer, Heidelberg (1994)
  • 6
    • 85135470835 scopus 로고
    • A growing neural gas network learns topologies
    • Advances in Neural Information Processing Systems
    • Fritzke, B.: A growing neural gas network learns topologies. In: NIPS 1994. Advances in Neural Information Processing Systems 7, pp. 625-632 (1995)
    • (1994) NIPS , vol.7 , pp. 625-632
    • Fritzke, B.1
  • 7
    • 30644459258 scopus 로고    scopus 로고
    • An incremental network for on-line unsupervised classification and topology learning
    • Furao, S., Hasegawa, O.: An incremental network for on-line 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
  • 8
    • 0033708479 scopus 로고    scopus 로고
    • A framework for automatic landmark identification using a new method of nonrigid correspondence
    • Hill, A., Taylor, C., Brett, A.: 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
  • 10
    • 84944037559 scopus 로고    scopus 로고
    • MacCormick, J., Isard, M.: Partitioned sampling, articulated objects, and interface quality hand tracking. In: Vernon, D. (ed.) ECCV 2000. LNCS, 1842, pp. 3-19. Springer, Heidelberg (2000)
    • MacCormick, J., Isard, M.: Partitioned sampling, articulated objects, and interface quality hand tracking. In: Vernon, D. (ed.) ECCV 2000. LNCS, vol. 1842, pp. 3-19. Springer, Heidelberg (2000)


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.