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Optical Engineering

Edge projections for eye localization
Author(s): Mehmet Turkan; Montse Pardas; A. Enis Cetin
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Paper Abstract

An algorithm for human-eye localization in images is presented for faces with frontal pose and upright orientation. A given face region is filtered by a highpass wavelet-transform filter. In this way, edges of the region are highlighted, and a caricature-like representation is obtained. Candidate points for each eye are detected after analyzing horizontal projections and profiles of edge regions in the highpass-filtered image. All the candidate points are then classified using a support vector machine. Locations of each eye are estimated according to the most probable ones among the candidate points. It is experimentally observed that our eye localization method provides promising results for image-processing applications.

Paper Details

Date Published: 1 April 2008
PDF: 6 pages
Opt. Eng. 47(4) 047007 doi: 10.1117/1.2902437
Published in: Optical Engineering Volume 47, Issue 4
Show Author Affiliations
Mehmet Turkan, Bilkent Univ. (Turkey)
Montse Pardas, Univ. Politècnica de Catalunya (Spain)
A. Enis Cetin, Bilkent Univ. (Turkey)

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