Proceedings of the IEEK Conference (대한전자공학회:학술대회논문집)

The Institute of Electronics and Information Engineers (대한전자공학회)
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Face Detection using Distance Ranking

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  • Park, Jae-Hee (Div. of EE, Dep. of EECS, Korea Advanced Institute of Science and Technology) ;
  • Kim, Seong-Dae (Div. of EE, Dep. of EECS, Korea Advanced Institute of Science and Technology)
  • 박재희 (한국과학기술원 전자전산학과 전기및전자공학) ;
  • 김성대 (한국과학기술원 전자전산학과 전기및전자공학)
  • Published : 2005.11.26
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Abstract

In this paper, for detecting human faces under variations of lighting condition and facial expression, distance ranking feature and detection algorithm based on the feature are proposed. Distance ranking is the intensity ranking of a distance transformed image. Based on statistically consistent edge information, distance ranking is robust to lighting condition change. The proposed detection algorithm is a matching algorithm based on FFT and a solution of discretization problem in the sliding window methods. In experiments, face detection results in the situation of varying lighting condition, complex background, facial expression change and partial occlusion of face are shown

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