Human eye localization using edge projections
Date
2007Source Title
Proceedings of the 2nd International Conference on Computer Vision Theory and Applications, VISAPP 2007
Publisher
Institute for Systems and Technologies of Information, Control and Communication
Pages
410 - 415
Language
English
Type
Conference PaperItem Usage Stats
386
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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.
Keywords
Eye localizationFace detection
Support vector machines
Wavelet transform
Edge projection
Edge region
Eye detection
Face regions
Filtered images
Multilayer neural networks