Eyes Location Using a Neural Network

  • Xiao-yi Feng
  • Li-ping Yang
  • Zhi Dang
  • Matti Pietikäinen
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3972)


This paper proposed a neural network based method for eyes location. In our work, face area is first located initially using an illumination invariant face skin model; Then, it is segmented by the combination of image transformation and a competitive Hopfield neural network (CHNN) and facial feature candidates such as eyes, eyebrows and mouth are obtained; Finally, eyes are located by facial features evaluation and validation, which is based on face’s geometrical structures. Experimental results show that our system performs well under not good lighting conditions.


Facial Feature Face Detection Gesture Recognition Facial Expression Recognition Automatic Face 
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

  • Xiao-yi Feng
    • 1
  • Li-ping Yang
    • 1
  • Zhi Dang
    • 1
  • Matti Pietikäinen
    • 2
  1. 1.College of Electronics and InformationNorthwestern Polytechnic UniversityXi’anChina
  2. 2.Machine Vision Group, Infotech Oulu and Dept. of Electrical and Information EngineeringUniversity of OuluFinland

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