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Erschienen in:
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2013 | OriginalPaper | Buchkapitel

Fast Eye Detection and Localization Using a Salient Map

verfasst von : Muwei Jian, Kin-Man Lam

Erschienen in: The Era of Interactive Media

Verlag: Springer New York

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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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Vorheriges Kapitel Face Orientation Detection Using Histogram of Optimized Local Binary Pattern
Nächstes Kapitel Eyeglasses Removal from Facial Image Based on MVLR
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Metadaten
Titel
Fast Eye Detection and Localization Using a Salient Map
verfasst von
Muwei Jian
Kin-Man Lam
Copyright-Jahr
2013
Verlag
Springer New York
Buch
The Era of Interactive Media

Print ISBN: 978-1-4614-3500-6

Electronic ISBN: 978-1-4614-3501-3

Copyright-Jahr: 2013

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

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