NDLI: A new method for eye extraction from facial image

Content Provider	IEEE Xplore Digital Library
Author	Xiaoyun Deng Chip-Hong Chang Brandle, E.
Copyright Year	2004
Description	Author affiliation: Centre for High Performance Embedded Syst., Nanyang Technol. Univ., Singapore (Xiaoyun Deng; Chip-Hong Chang)
Abstract	In this paper we present a new approach to the problem of detecting the eyes from a still facial image. Features such as color, edges, intensity and shape are incorporated in different stages of our method. First, the face region is extracted from the image by skin-color filter and window growing. Second, eyes are approximately located by projection of gradient features in different directions. Third, the eyes could be extracted if it is required by some specific applications. Part of the AR Database has been used for experiments and benchmarking. For subjects not wearing glasses, the eyes could be correctly located in 91.56% of the images and in over 90% of these images they could be accurately extracted, while for subjects wearing glasses, the success rate is somewhat lower.
Sponsorship	IEEE Computer Soc. Test Technol. Tech. Council (TTTC) Centre for Very High Speed Microelectronic Systems, Edith Cowan Univ. Australia
Starting Page	29
Ending Page	34
File Size	319647
Page Count	6
File Format	PDF
ISBN	0769520812
DOI	10.1109/DELTA.2004.10048
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-01-28
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Filters Eyes Shape Image edge detection Mouth Glass Face detection Eyebrows Facial features
Content Type	Text
Resource Type	Article

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