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Eye detection for multipose face image in complex background

DONG Wenhui1,QU Peishu2,WU Xiaojuan1,XU Zhijun1,   

  1. 1. School of Information Science and Engineering,Shandong University，Jinan 250100，China;2. Physics Department,Dezhou University,Dezhou 253023,China
  • Received:2005-03-06 Revised:1900-01-01 Online:2006-06-24 Published:2006-06-24
  • Contact: DONG Wenhui1,

Abstract: Eye detection method for multipose face image in complex background is studied. Firstly, we project the image to YCbCr space and get skin and face region by the skin model based on the distribution of the skin; secondly, the possible eye regions can be found according to the rules formulated by the eye distribution and its characteristics; lastly, the eye position is confirmed by eye templates distribution model. Experiment results show that the method is efficient and precise.

Key words: skin color segmentation, eye detection , YCbCr color space

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