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Volumn , Issue , 2006, Pages 1001-1004

Improving the face recognition grand challenge baseline performance using color configurations across color spaces

Author keywords

[No Author keywords available]

Indexed keywords

BASE-LINE PERFORMANCE; COLOR COMPONENT; COLOR INFORMATION; COLOR SPACE; DATA SETS; FACE RECOGNITION GRAND CHALLENGES; FACE RECOGNITION PERFORMANCE; FACE RECOGNITION RATES;

EID: 51849158885     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2006.312668     Document Type: Conference Paper
Times cited : (69)

References (6)
  • 2
    • 3042674061 scopus 로고    scopus 로고
    • Gabor-based kernel PCA with fractional power polynomial models for face recognition
    • C. Liu, "Gabor-based kernel PCA with fractional power polynomial models for face recognition," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 26, no. 5, pp. 572-581,2004.
    • (2004) IEEE Trans. Pattern Analysis and Machine Intelligence , vol.26 , Issue.5 , pp. 572-581
    • Liu, C.1
  • 5
    • 27844475745 scopus 로고    scopus 로고
    • Comparative assessment of contentbased face image retrieval in different color spaces
    • P. Shih and C. Liu, "Comparative assessment of contentbased face image retrieval in different color spaces," International Journal of Pattern Recognition and Artificial Intelligence, vol. 19, no. 7, pp. 873-893, 2005.
    • (2005) International Journal of Pattern Recognition and Artificial Intelligence , vol.19 , Issue.7 , pp. 873-893
    • Shih, P.1    Liu, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.