메뉴 건너뛰기




Volumn 28, Issue 5, 2010, Pages 772-780

Facial feature localization using weighted vector concentration approach

Author keywords

Facial feature localization; Weighted vector concentration

Indexed keywords

CONCENTRATION (PROCESS); FACE RECOGNITION;

EID: 76449116866     PISSN: 02628856     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.imavis.2009.09.008     Document Type: Article
Times cited : (29)

References (29)
  • 3
    • 0344982953 scopus 로고    scopus 로고
    • S. Yan, M. Li, H. Zhang, Q. Cheng, Ranking prior likelihood distributions for bayesian shape localization framework, in: Proceedings of the International Conference on Computer Vision (ICCV), 01, 2003, pp. 51-58.
    • S. Yan, M. Li, H. Zhang, Q. Cheng, Ranking prior likelihood distributions for bayesian shape localization framework, in: Proceedings of the International Conference on Computer Vision (ICCV), vol. 01, 2003, pp. 51-58.
  • 7
    • 62349090057 scopus 로고    scopus 로고
    • Facial feature detection using distance vector fields
    • Asteriadis S., Nikolaidis N., and Pitas I. Facial feature detection using distance vector fields. Pattern Recognition 42 7 (2009) 1388-1398
    • (2009) Pattern Recognition , vol.42 , Issue.7 , pp. 1388-1398
    • Asteriadis, S.1    Nikolaidis, N.2    Pitas, I.3
  • 15
    • 0019397313 scopus 로고
    • Generalizing the hough transform to detect arbitrary shapes
    • Ballard D.H. Generalizing the hough transform to detect arbitrary shapes. Pattern Recognition 13 2 (1981) 111-122
    • (1981) Pattern Recognition , vol.13 , Issue.2 , pp. 111-122
    • Ballard, D.H.1
  • 17
    • 33244491685 scopus 로고    scopus 로고
    • Performance evaluation and optimization for content-based image retrieval
    • Vogel J., and Schiele B. Performance evaluation and optimization for content-based image retrieval. Pattern Recognition 39 5 (2006) 897-909
    • (2006) Pattern Recognition , vol.39 , Issue.5 , pp. 897-909
    • Vogel, J.1    Schiele, B.2
  • 22
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scale-invariant keypoints
    • Lowe D.G. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision 60 2 (2004) 91-110
    • (2004) International Journal of Computer Vision , vol.60 , Issue.2 , pp. 91-110
    • Lowe, D.G.1
  • 24
    • 0032201716 scopus 로고    scopus 로고
    • An optimal algorithm for approximate nearest neighbor searching
    • Arya S., Mount D., Silverman R., and Wu A.Y. An optimal algorithm for approximate nearest neighbor searching. Journal of the ACM 45 (1998) 891-923
    • (1998) Journal of the ACM , vol.45 , pp. 891-923
    • Arya, S.1    Mount, D.2    Silverman, R.3    Wu, A.Y.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.