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Optical Engineering

Eye localization in face image based on a novel template matching method
Author(s): Ruiming Liu; Chenglong Gong; Qi Jiang; Yanhong Lu
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Paper Abstract

The classic template matching directly uses images as templates and correlation coefficients as the measure of matching degree. A novel template matching method for eye localization based on projection coefficient templates and nonlinear correlation is proposed. Unlike classic template matching, the projection coefficients on the basis function of the Karhunen-Loeve transform are used as templates, and the nonlinear correlation is proposed to measure the matching degree. The reduction of computation costs is achieved by taking advantage of the eye symmetry.

Paper Details

Date Published: 5 March 2012
PDF: 5 pages
Opt. Eng. 51(2) 027203 doi: 10.1117/1.OE.51.2.027203
Published in: Optical Engineering Volume 51, Issue 2
Show Author Affiliations
Ruiming Liu, Huaihai Institute of Technology (China)
Chenglong Gong, Huaihai Institute of Technology (China)
Qi Jiang, Huaihai Institute of Technology (China)
Yanhong Lu, Lianyungang Technical College (China)


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