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“School of Cognitive Sciences”

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Paper   IPM / Cognitive Sciences / 8544
School of Cognitive Sciences
  Title:   Face Detection Using Mixture of MLP Experts
  Author(s): 
1.  R. Ebrahimpour
2.  E. Kabir
3.  M.R. Yousefi
  Status:   Published
  Journal: Neural Processing Letters
  Vol.:  26
  Year:  2007
  Pages:   69-82
  Supported by:  IPM
  Abstract:
This paper presents a face detection method which makes use of a modified mixture of experts. In order to improve the face detection accuracy, a novel structure is introduced which uses the multilayer perceptrons, MLPs, as expert and gating networks, and employs a new learning algorithm to adapt with the MLPs. We call this model Mixture of MLP Experts, MMLPE. Experiments using images from the CMU-130 test set demonstrate the robustness of our method in detecting faces with wide variations in pose, facial expression, illumination and complex backgrounds. The MMLPE produces promising high detection rate of 98.8

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