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Exact iris shape determination in face image with complex background

Autorzy
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper describes algorithm of exact iris shape determination in a face image with complex background. This work is a part of face recognition method. The aim was to locate circles circumscribed about an irises (radius and centers of such circles) in frontal face image. Presented algorithm combines known tasks of image processing and developed procedures. Achieved results are satisfactory for purpose of use in developed face recognition method.
Rocznik
Strony
191--200
Opis fizyczny
Bibliogr. 22 poz., rys.
Twórcy
autor
  • Częstochowa University of Technology, Institute of Computer and Information Sciences, ul. Dąbrowskiego 73, 42-200 Częstochowa, Poland
Bibliografia
  • [1] Fan L., Sung K.K., Model-based Varying Pose Face Detection and Facial Feature Registration in Colour Images, PRL 2003, January 2003, 24, 1-3, 237-249.
  • [2] Darrell T.J., Gordon G.G., Woodfill J., Harville M., A Virtual Mirror Interface using Real-time Robust Face Tracking, AFGR 1998, 616-621.
  • [3] Lam K.M., Yan H., An Analytic to Holistic Approach for Face Recognition Based on a Single Frontal View, PAMI 1998, 20, 7, 673-686.
  • [4] Kuo C.J., Huang R.S., Lin T.G., 3-d Facial Model Estimation from Single Frontview Facial Image, CirSys Video 2002, 12, 3, 183-192.
  • [5] Eisert P., Wiegand T., Girod B., Model-aided Coding: A new Approach to Incorporate Facial Animation into Motion-compensated Video Coding, CirSys Video 2000, 10, 3, 344-358.
  • [6] Pearson D.E., Developments in Model-based Video Coding, PIEEE 1995, 83, 6, 892-906.
  • [7] Kompanets L., Kubanek M., Rydzek S. Czestochowa’s Precise Model of a face Based on the Facial Asymmetry, Ophthalmogeometry, and Brain Asymmetry Phenomena: the Idea and Algorithm Sketch, Proc. ACS 2003.
  • [8] Kompanets L., Kubanek M., Rydzek S. Czestochowa-faces and Biometrics of Asymmetrical Face, ICAISC 2004, 742-747.
  • [9] Kukharev G.,Kuzminski A. Techniki biometryczne, Cz. 1: Metody rozpoznawania twarzy, Politechnika Szczecińska, Wydział Informatyki, 2003.
  • [10] Arce G.R., McLoughlin M.P., Theoretical Analysis of the Max/Median Filter, T-ASSP 1987, 35, 60-69.
  • [11] Ding L., Goshtasby A., On the Canny Edge Detector, PR 2001, 34, 3, 721-725.
  • [12] Turk M., Pentland A.P., Eigenfaces for Recognition, CogNeuro 1991, 3, 11, 71-96.
  • [13] Turk M., Pentland A.P., Face Recognition using Eigenfaces, CVPR91 1991, 586-591.
  • [14] Moghaddam B., Pentland A.P., Probabilistic Visual Learning for Object Representation, PAMI 1997, 19, 7, 696-710.
  • [15] Skarbek W., Koschan A., Colour Image Segmentation - a survey, Technical Report, Institute for Technical Informatics, Technical University of Berlin, October 1994.
  • [16] Suzuki Y., Saito S., Ozawa H., Extraction of the Human Face from the Natural Background using Gas, IEEE TENCON, Digital Signal Processing Applications 1996, 221-226.
  • [17] Yokoo Y., Hagiwara M., Human Faces Detection Method Using Genetic Algorithm, International Conference on Evolutionary Computation 1996, 113-118.
  • [18] Miao J., Yin B., Wang K., Shen L., Chen X., A Hierarchical Multiscale and Multiangle System for Human Face Detection in a Complex Background using Gravity-center Template, PR 1999, 32, 7, 1237-1248.
  • [19] Gu Q., Li S.Z., Combining Feature Optimization into Neural Network Based Face detection, ICPR 2000, Vol II, 814-817.
  • [20] Wang L., Bai J., Threshold Selection by Clustering Gray Levels of Boundary, Pattern Recogn. Lett. 2003, 24, 12, 1983-1999.
  • [21] Bonnet N., Cutrona J., Herbin M., A ‘no-threshold’ Histogram-based Image Segmentation Method, Pattern Recognition 2002, 35, 10, 2319-2322.
  • [22] Novak C.L., Shafer S., Method for Estimating Scene Parameters from Color Histograms, Journal of the Optical Society of America 1994, 11, 11, 3020-3036.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPC1-0001-0068
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