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Method of clones generation from the digital images

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Paper addresses the problem of cloning the input image, especially for frontal face image recognition. Presented are two methods of cloning, one based on procedure of downsampling, and other based on modified wavelet transform. Implementations of both procedures are described as well as salient features of "clone-images ", making it useful for image recognition. Cloning enables application of strong classification methods, e.g. linear discriminant analysis (LDA) by avoiding the small sample size problem. Application of "cloning + LDA" is illustrated by face recognition problem with one training image per person.
Rocznik
Tom
Strony
53--68
Opis fizyczny
Bibliogr. 18 poz., rys., tab.
Twórcy
autor
autor
  • West Pomeranian University of Technology, Szczecin, Poland St.-Petersburg Electrotechnical University, Russia
Bibliografia
  • [1] Alaa E., Demirel H. PCA and LDA based Neural Networks for Human Face Recognition. In book Face Recognition, I-Tech Education and Publishing, Vienna, Austria, 2007, pp. 93-118.
  • [2] Fukunaga K. Introduction to statistical pattern recognition, Academic Press Professional Inc., 1990, San Diego, CA.
  • [3] Image Downsampling Methods [online]. http://www.xs4all.nl/~bvdwolf/main/foto/down_sample/down_sample.htm (Accessed on 14.03.2009).
  • [4] Kukharev G., Dagman E. Fast Discrete Orthogonal Transform. (in Russian) „Nauka”, Novosibirsk, 1983.
  • [5] Kukharev G. Biometric Systems: Methods and Means for People Recognition. “Polytechnica”, St.-Petersburg, Russia, 2001.
  • [6] Kukharev G., Szczegolewa N. Face Recognition Systems (in Russian), “LETI”, St.- Petersburg, Russia, 2006.
  • [7] Kukharev G., Forczmanski P. Facial Images Dimensionality Reduction and Recognition by Means of 2DKLT. Machine GRAPHICS & VISION, Vol.16, no. 3/4, 2007, pp. 401-425.
  • [8] Kukharev G., Miklasz M., Binh, N., T. Strategy of construction of a class of Face Retrieval system. In “Methods of applied computer science”/ KI PAN, Szczecin, Poland, no 2, 2007, pp. 61-72.
  • [9] Kumar Vijaya B. V. K., Mahalanobis A., Juday R. D. Correlation Pattern Recognition, Cambridge University Press, 2005.
  • [10] Li S. Z., Jain A. K Handbook of Face Recognition. Springer Science Business Media, Inc, 2005.
  • [11] Lu X., Jain A. Resampling for Face Recognition. Lecture Notes in Computer Science, Springer Berlin / Heidelberg, Vol. 2688/2003, 2003, [online] http://www.biometrics.cse.msu.edu/Publications/Face/LuJain_FaceResampling_AVBP A03.pdf, (Accessed on 19.03.2009).
  • [12] Noh J-Y., Neuman U. Expression cloning. Proceedings of the 28th annual conference on Computer graphics and interactive techniques, pp. 277 – 288, 2001.
  • [13] Pratt W. K. Digital Image Processing, Wiley, New York, PIKS Inside, 2001.
  • [14] Shan S., Cao B., Gao W., Zhao D. Extended fisherface for face recognition from a single example image per person, 2002 [online] http://www.jdl.ac.cn/user/sgshan/pub/Shan-ISCAS.pdf, (Accessed on 20.04.2009).
  • [15] Tan X., Chen S., Zhou Z-H, Zhang F. Face recognition from a single image per person: a survey, Pattern Recognition, Vol. 39(9), 2006, pp. 1725-1745.
  • [16] The ORL face database [online], http:// www.uk.research.att.com/facedatabase.htm, (Accessed on 15.04.2007).
  • [17] Wang H., Zhou Y., Ge X., Yang J. Subspace evolution analysis for face representation and recognition. Pattern Recognition, 40, 2007, pp.335 – 338
  • [18] Wu J., Zhou Z-H. Face Recognition with One Training Image per Person. Pattern Recognition Letters. Vol.23, no.14, 2002, pp. 1711-1719.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPS3-0014-0022
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