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      • Faculty of Engineering
      • Department of Electrical and Electronics Engineering
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      Human eye localization using edge projections

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      Author(s)
      Türkan, Mehmet
      Pardas, M.
      Çetin, A. Enis
      Date
      2007
      Source 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 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.
      Keywords
      Eye localization
      Face detection
      Support vector machines
      Wavelet transform
      Edge projection
      Edge region
      Eye detection
      Face regions
      Filtered images
      Multilayer neural networks
      Permalink
      http://hdl.handle.net/11693/26985
      Published Version (Please cite this version)
      https://doi.org/10.5220/0002055304100415
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      • Department of Electrical and Electronics Engineering 3868
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