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Volumn 16, Issue 2, 2005, Pages 128-138

The CSU face identification evaluation system : IIIts purpose, features, and structure

Author keywords

Evaluation; Face recognition; Statistical tools

Indexed keywords

ELASTIC BUNCH GRAPH MATCHING; FACE IDENTIFICATION EVALUATION SYSTEMS; GALLERY CHOICES; INTRAPERSONAL IMAGE DIFFERENCE CLASSIFIER (IIDC);

EID: 17444392509     PISSN: 09328092     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00138-004-0144-7     Document Type: Article
Times cited : (101)

References (21)
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    • (2001) Technical Report , vol.CS-01-101
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  • 4
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    • The CSU face identification evaluation system user's guide: Version 5.0
    • Colorado State University
    • Beveridge JR, Bolme D, Teixeira M, Draper BA (2003) The CSU Face Identification Evaluation System User's Guide: Version 5.0. Technical report, Colorado State University
    • (2003) Technical Report
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  • 6
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    • Facial recognition vendor test 2000: Executive overview
    • Face Recognition Vendor Test
    • Blackburn DM, Bone M, Phillips PJ (2003) Facial Recognition Vendor Test 2000: executive overview. Technical report, Face Recognition Vendor Test (www.frvt.org)
    • (2003) Technical Report
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  • 7
    • 5044226321 scopus 로고    scopus 로고
    • June Master's thesis, Computer Science, Colorado State University
    • Bolme DS (June 2003) Elastic bunch graph matching. Master's thesis, Computer Science, Colorado State University
    • (2003) Elastic Bunch Graph Matching
    • Bolme, D.S.1
  • 10
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    • Using a generalized linear mixed model to study the configuration space of a PCA+LDA human face recognition algorithm
    • Computer Science, Colorado State University
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    • (2003) Technical Report
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    • Moghaddam, B.1    Nastar, C.2    Pentland, A.3
  • 13
    • 0011936939 scopus 로고    scopus 로고
    • Analysis of pea-based face recognition algorithms
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    • Moon H, Phillips J (1998) Analysis of pea-based face recognition algorithms. In: Boyer K, Phillips J (eds) Empirical evaluation techniques in computer vision. IEEE Press, New York
    • (1998) Empirical Evaluation Techniques in Computer Vision
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  • 14
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    • The Bochum/USC face recognition system and how it fared in the FERET Phase III test
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    • Okada K, Steffens J, Maurer T, Hong H, Elagin E, Neven H, von der Malsburg C (1998) The Bochum/USC face recognition system and how it fared in the FERET Phase III test. In: Wechsler H, Phillips PJ, Bruce V, Soulié FF, Huang TS (eds) Face recognition: from theory to applications. Springer, Berlin Heidelberg New York, pp 186-205
    • (1998) Face Recognition: From Theory to Applications , pp. 186-205
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  • 20
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.