NDLI: Eye Location using Hierarchical Classifier

Content Provider	IEEE Xplore Digital Library
Author	Gao-Feng Xu Lei Huang Chang-Ping Liu Shi-Qi Ding
Copyright Year	2007
Description	Author affiliation: Harbin Eng. Univ., Harbin (Gao-Feng Xu)
Abstract	The eyes are important facial landmarks, both for image normalization due to their relatively constant interocular distance, and for post processing due to their anchoring model-based schemes. In this paper a hierarchical classifier for precise eye location algorithm is introduced. The new algorithm involves three main steps. First, a classifier based on AdaBoost algorithm is introduced to locate eye pair roughly. In order to get a reliable location, simple eye location is also introduced for checking the located results. Second, a precise eye location method based on Minimum Extreme Region (MER) is employed to detect eye candidates. Finally, a combine processing based on the above two results is used for the last location. The algorithm is tested on database CAS-PEAL, JAFFE and BioID. The results prove the merit of this approach.
Starting Page	2193
Ending Page	2197
File Size	663094
Page Count	5
File Format	PDF
ISBN	9781424409723
DOI	10.1109/ICMLC.2007.4370509
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-08-19
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Eyes Face recognition Eyebrows Spatial databases Machine learning Cybernetics Automation Electronic mail Testing Lighting Eye location AdaBoost algorithm Minimum extreme region
Content Type	Text
Resource Type	Article

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