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Face detection in colour images using fuzzy Hough transform

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Konferencja
The Fourth Scientific Symposium on Image Processing Technology. TPO 2002 ; (21.11-23.11.2002 ; Serock, Poland)
Języki publikacji
EN
Abstrakty
EN
Novel, fast, accurate, and low complexity face localisation algorithm is presented. It is robust for hard scene conditions, such as complex background, different lighting, and face poses. It exploits spatial masking of face colour areas in normalised perceptually plausible tint-saturation-luminance (TSL) space where Canny filter is applied. Then, facial areas are approximated by ellipses of constrained proportions using fuzzy Hough transform on detected edges. Finally eye localisation technique is applied in Cr-Cb colour space in order to determine face pose, confirm face presence, and it enables us normalisation of face recognition.
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Twórcy
  • Institute of Radioelectronics, Faculty of Electronics and Information Technology, Warsaw University of Technology, 15/19 Nowowiejska Str., 00-665 Warsaw, Poland
Bibliografia
  • 1. X. Chen, L. Gu, S.Z. Li, and H.J. Zhang, "Learning representative local features for face detection", Proc. IEEE CVPR, 1126-1131 (2001).
  • 2. M.H. Yang, N. Ahuja, and D. Kriegman, "Face detection using mixtures of linear subspaces", Proc. IEEE ICAFGR'00, 70-76 (2000).
  • 3. K.K. Sung and T. Poggio, "Example-based learning for view-based human face detection", IEEE TPAMI 20, 39-51 (1998).
  • 4. A.J. Colmenarez and T.S. Huang, "Face detection with information-based maximum discrimination", Proc. IEEE CVPR, 782-787 (1997).
  • 5. H. Rowley, S. Baluja, and T. Kanade, "Neural network-based face detection", IEEE TPAMI 20, 23-38 (1998).
  • 6. E. Osuna, R. Freund, and F. Girosi, "Trainig support vector machines: an application to face detection", Proc. IEEE CVPR, 130-136 (1997).
  • 7. M.C. Shin, K.I. Chang, and L.V. Tsap, "Does colour space transformation make any difference on skin detection?", Proc. IEEE WACV'02 (2002).
  • 8. J.C. Terrilon and S. Akamatsu, "Comparative performance of different chrominance spaces for colour segmentation and detection of faces in complex scene images", Proc. ICAFGR'00, 54-61 (2000).
  • 9. J. Illingworth and J. Kittler, "A survey of the Rough transform", Computer Vision, Graphics and Image Processing, (1988).
  • 10. V.F. Leavers, "Survey , which Rough transform?" Computer Vision, Graphics and Image Processing 58, No 2 (1993).
  • 11. S.M. Bhandarkar, "A fuzzy probabilistic model for the generalised Rough transform", IEEE TSMC (1994).
  • 12. R. Sguier, A. Le Glaunec, and B. Loriferne, "Human face detection and tracking in video sequence", Proc. RECPAD'95 (1995).
  • 13. R.L. Hsu, M. Abdel-Mottaleb, and A.K. Jain, "Face detection in colour images", IEEE TPAMI 24, 696-706 (2002).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BWA2-0007-0044
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