Robust Eye Detection Method for Varying Environment Using Illuminant Context-Awareness

  • Mi young Nam
  • Eun Jin Koh
  • Phill Kyu Rhee
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4251)


In this paper, we propose the efficient face and eye detection system using context based detector. The face detection system architecture use cascade method by illuminant face model. Also, we detect eye region after face detection. We construct nine classes to eye detector. It is enhanced eye detection ratio for varying illuminant face images. We define context to illumination class and distinguish class back propagation. Also, we made in context model using face illuminant. The multiple classifiers consist of face illuminant information. Context based Bayesian classifiers are employed for selection of face and eye detection windows. Face detection system is enhanced for face detection form multiple face class and non-face class. Proposed method is high performance more than single classifier.


Face Image Face Detection Feature Extraction Method Bayesian Classifier Context Awareness 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Mi young Nam
    • 1
  • Eun Jin Koh
    • 1
  • Phill Kyu Rhee
    • 1
  1. 1.Dept. of Computer Science & EngineeringInha UniversityIncheonKorea

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