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Volumn 15, Issue 1, 2000, Pages 1088-1091

Growing gaussian mixture models for pose invariant face recognition

Author keywords

[No Author keywords available]

Indexed keywords

COMMUNICATION CHANNELS (INFORMATION THEORY); GAUSSIAN DISTRIBUTION; GESTURE RECOGNITION; OBJECT RECOGNITION;

EID: 33750965416     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Article
Times cited : (33)

References (14)
  • 2
    • 0346098055 scopus 로고    scopus 로고
    • Face recognition in poor quality video: Evidence from security surveillance
    • M. Burton, S. Wilson, and M. Cowan. Face recognition in poor quality video: Evidence from security surveillance. Psychological Science, 1999.
    • (1999) Psychological Science
    • Burton, M.1    Wilson, S.2    Cowan, M.3
  • 8
    • 0027632248 scopus 로고
    • Neural-gas network for vector quantization and its application to time-series prediction
    • T. M. Martinetz, S. G. Berkovich, and K. Schulten. Neural-gas network for vector quantization and its application to time-series prediction. IEEE Transactions on Neural Networks, 4(4), 1993.
    • (1993) IEEE Transactions on Neural Networks , vol.4 , Issue.4
    • Martinetz, T.M.1    Berkovich, S.G.2    Schulten, K.3
  • 11
    • 0030689145 scopus 로고    scopus 로고
    • The FERET evaluation methodology for face-recognition algorithms
    • P. J. Phillips, H. Moon, P. Rauss, and S. A. Rizvi. The FERET evaluation methodology for face-recognition algorithms. In CVPR'97, 1997.
    • (1997) CVPR'97
    • Phillips, P.J.1    Moon, H.2    Rauss, P.3    Rizvi, S.A.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.