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Locating Human Eyes Using Edge and Intensity Information

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Advances in Intelligent Computing (ICIC 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3645))

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Abstract

In this paper, a new eye detection method is presented. The method consists of three steps: (1) extraction of binary edge image (BEI) based on the multi-resolution analysis of wavelet transform; (2) extraction of eye region and segments from BEI, and (3) eye localization using light dot or intensity information. An improved face region extraction algorithm and a light dot detection method are proposed to improve eye detection performance. Experimental results show that our approach can achieve a correct eye detection rate of 98.7% on 150 Bern images with variations in view and gaze direction and a rate of 96.6% on 564 AR images with different facial expressions and lighting conditions.

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Author information

Authors and Affiliations

  1. College of Electronic and Information Engineering, Ningbo University of Technology, Ningbo, 315016, P. R. China

    Jiatao Song & Wei Wang

  2. Centre for Multimedia Signal Processing, Department of Electronic and Information, Engineering, the Hong Kong Polytechnic University, Hong Kong

    Jiatao Song & Zheru Chi

  3. School of Information Technology, Jiangxi University of Finance & Economics, Nanchang, 330013, China

    Zhengyou Wang

Authors
  1. Jiatao Song
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  2. Zheru Chi
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  3. Zhengyou Wang
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  4. Wei Wang
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Editor information

Editors and Affiliations

  1. Intelligent Computing Lab, Institute of Intelligent Machines, Chinese Academy of Sciences, China

    De-Shuang Huang

  2. School of Computer & Information Technology, Beijing Jiaotong University, 100044, Beijing, P.R. China

    Xiao-Ping Zhang

  3. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore

    Guang-Bin Huang

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© 2005 Springer-Verlag Berlin Heidelberg

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Song, J., Chi, Z., Wang, Z., Wang, W. (2005). Locating Human Eyes Using Edge and Intensity Information. In: Huang, DS., Zhang, XP., Huang, GB. (eds) Advances in Intelligent Computing. ICIC 2005. Lecture Notes in Computer Science, vol 3645. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11538356_51

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  • DOI: https://doi.org/10.1007/11538356_51

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28227-3

  • Online ISBN: 978-3-540-31907-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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