Human eye localization using edge projections

Date
2007
Advisor
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Source Title
Proceedings of the 2nd International Conference on Computer Vision Theory and Applications, VISAPP 2007
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Publisher
Institute for Systems and Technologies of Information, Control and Communication
Volume
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Pages
410 - 415
Language
English
Type
Conference Paper
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Abstract

In this paper, a human eye localization algorithm in images and video is presented for faces with frontal pose and upright orientation. A given face region is filtered by a high-pass filter of a wavelet transform. In this way, edges of the region are highlighted, and a caricature-like representation is obtained. After analyzing horizontal projections and profiles of edge regions in the high-pass filtered image, the candidate points for each eye are detected. All the candidate points are then classified using a support vector machine based classifier. 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 both image and video processing applications.

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Keywords
Eye localization, Face detection, Support vector machines, Wavelet transform, Edge projection, Edge region, Eye detection, Face regions, Filtered images, Multilayer neural networks
Citation
Published Version (Please cite this version)