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Volumn 2005-September, Issue , 2005, Pages

Pose angle determination by face, eyes and nose localization

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE SEGMENTATION; JOINING; LOCATION;

EID: 84874512634     PISSN: 21607508     EISSN: 21607516     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2005.582     Document Type: Conference Paper
Times cited : (11)

References (24)
  • 2
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    • A snow-based face detector
    • S.A. Solla, T. K. Leen, and K.-R. Muller, eds.,. MIT Press
    • M.-H. Yang, D. Roth, and N. Ahuja, “A SNoW-Based Face Detector,” Advances in Neural Information Processing Systems 12, S.A. Solla, T. K. Leen, and K.-R. Muller, eds., pp. 55- 61, MIT Press, 2000.
    • (2000) Advances in Neural Information Processing Systems , vol.12 , pp. 55-61
    • Yang, M.-H.1    Roth, D.2    Ahuja, N.3
  • 4
    • 85114719879 scopus 로고    scopus 로고
    • Determining the gaze of faces in images
    • 199
    • Gee, R. Cipolla, “Determining the gaze of faces in images,” Image and Vision Computing, vol.12, no.10, pp. 6 9-6, 199.
    • Image and Vision Computing , vol.12 , Issue.10 , pp. 69-76
    • Gee, R.C.1
  • 11
    • 85114739290 scopus 로고    scopus 로고
    • Face detection and Facial Feature Localization for Human-machine Interface
    • M. A. Bhuiyan, V. Ampornaramveth, S. Muto, H Ueno, “Face detection and Facial Feature Localization for Human-machine Interface”, NII Journal, vol. 5, no., 200.
    • NII Journal , vol.5 , pp. 200
    • Bhuiyan, M.A.1    Ampornaramveth, V.2    Muto, S.3    Ueno, H.4
  • 14
  • 16
    • 85114735232 scopus 로고    scopus 로고
    • A review on image segmentation techniques
    • 199
    • N. R. Pal and S. K. Pal, “A review on image segmentation techniques,” Pattern recognition, vol. 26, pp.12 -129, 199.
    • Pattern Recognition , vol.26 , pp. 12-129
    • Pal, N.R.1    Pal, S.K.2
  • 20
    • 85114721954 scopus 로고    scopus 로고
    • A recursive thresholding technique for image segmentation
    • 199
    • Cheriet M., Said J.N. and Suen C.Y., “A Recursive Thresholding Technique for Image Segmentation,” IEEE Trans. Image Processing, vol., no. 6, pp. 91 -922, 199.
    • IEEE Trans. Image Processing , Issue.6 , pp. 91-922
    • Cheriet, M.1    Said, J.N.2    Suen, C.Y.3
  • 21
    • 1342308279 scopus 로고    scopus 로고
    • Support vector machine based multi-view face detection and recognition
    • 200
    • Yongmin Li, Shaogang Gong, Jamie Sherrah, Heather Liddell, “Support vector machine based multi-view face detection and recognition,” Image and Vision Computing 22 pp. 1 - 2, 200.
    • Image and Vision Computing , vol.22 , pp. 1-2
    • Li, Y.1    Gong, S.2    Sherrah, J.3    Liddell, H.4
  • 23
    • 85114744036 scopus 로고    scopus 로고
    • A pipelined architecture for image segmentation by adaptive progressive thresholding
    • ].K. V. Asari, T. Srikanthan, S. Kumar, and D. Radhakrishnan, “A pipelined architecture for image segmentation by adaptive progressive thresholding,” Microprocessors and Microsystems, vol. 2, pp. 9-99, 1999.
    • (1999) Microprocessors and Microsystems , vol.2 , pp. 9-99
    • Asari, K.V.1    Srikanthan, T.2    Kumar, S.3    Radhakrishnan, D.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.