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Modified Gradient Method for Face Localization

  • Georgi Kukharev
  • Paweł Masicz
  • Piotr Masicz
Conference paper

Abstract

In this paper we present our research and its results in face localization in color images. We use modified gradient method with oval object detection. This method gives very good speed results and our improvement gives better accuracy than it was in original gradient methods. Our system works well in different lighting condition and without any manual interactions. We will show how the system works with various pictures delivered from digital cameras, camcorders and television and with multiple faces localization. The differences in head size, lighting and background are considerable. We achieved very good results in detection rate - more than 93% in poor conditions and reach 99% in good. Our system is implemented in C++ and works well and fast.

Key words

localization face gradient method 

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References

  1. [1]
    D. Chai, K. N. Ngan “Locating facial region of a head-and-shoulder color image”, International Conference of Face and Gesture Recognition, (1998), 124–129.Google Scholar
  2. [2]
    B. Fasel “Fast multi-scale face detection”, IDIAP-COM 4, (1998).Google Scholar
  3. [3]
    G. Kukharev, A. Tujaka “Pattern recognition methods for visitor identification and access control”, Pattern Recognition and Information Processing, (2001), 19–34.Google Scholar
  4. [4]
    G. Kukharev, A. Kuźmiński “Techniki Biometryczne, Część I: Metody rozpoznawania twarzy”, Szczecin 2003.Google Scholar
  5. [5]
    S. McKeena, S. Gong, Y. Raja “Face recognition in dynamic scenes”, British Machine Vision Conference, (1997).Google Scholar
  6. [6]
    H. A. Rowley “Neural network-based face detection”, PHD thesis, Carnegie Mellon University, Pitsburgh, (1999).Google Scholar
  7. [7]
    H. Rowley, S. Baluja, T. Kanade “Neural Network-Based Face Detection”, IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 20, no. 1 (1998) 23–38.CrossRefGoogle Scholar
  8. [8]
    Q. B. Sun, W. M. Huang, J. K. Wu “Face detection based on color and local symetry information”, International Conference of Face and Gesture Recognition, (1998), 130–135.Google Scholar
  9. [9]
    Georgi Kuchariew, Pawel Masicz, Piotr Masicz “Real-time face detection using modified gradient method”, Pattern Recognition and Information Processing, (2003), vol. 2, 195–200Google Scholar

Copyright information

© Springer Science+Business Media, Inc. 2005

Authors and Affiliations

  • Georgi Kukharev
    • 1
  • Paweł Masicz
    • 1
  • Piotr Masicz
    • 1
  1. 1.Technical University of SzczecinSzczecinPoland

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