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Fast Eye Detection and Localization Using a Salient Map

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The Era of Interactive Media

Abstract

Among the facial features, the eyes play the most important role in face recognition and face hallucination. In this paper, an efficient algorithm for eye detection in face images is proposed. The proposed algorithm is robust to illumination variations, size, and orientation of face images. As the eye region always has the most variations in a face image, our algorithm uses a wavelet-based salient map, which can detect and reflect the most visually meaningful regions for eye detection and localization. Our proposed algorithm is non-iterative and computationally simple. Experimental results show that our algorithm can achieve a superior performance compared to other current methods.

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Acknowledgement

The work described in this paper was supported by a grant from RGC of the HKSAR, China (Project No. PolyU 5187/11E).

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Authors and Affiliations

  1. Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong

    Muwei Jian & Kin-Man Lam

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  1. Muwei Jian
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  2. Kin-Man Lam
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Correspondence to Kin-Man Lam .

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Jian, M., Lam, KM. (2013). Fast Eye Detection and Localization Using a Salient Map. In: The Era of Interactive Media. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-3501-3_8

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  • DOI: https://doi.org/10.1007/978-1-4614-3501-3_8

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-3500-6

  • Online ISBN: 978-1-4614-3501-3

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