Facial Expression Recognition Under Partial Occlusion Based on Facial Region Segmentation

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概要

• 論文の詳細を見る

• This paper presents a facial expression recognition algorithm based on segmentation of a face image into four facial regions (eye-eyebrow, forehead, nose and mouth) in order to develop a facial expression recognition under partial occlusion. As the special case of partial occlusion, half face occlusion is also examined. In feature extraction stage the proposed method employs Sub-block Eigenphases algorithm that uses Principal Component Analysis (PCA) and for classification stage it applies the Support Vector Machine (SVM).

• 一般社団法人映像情報メディア学会の論文
• 2013-02-09

著者

• Perez-meana Hector

  National Polytechnic Institute Of Mexico

• Kaneko Masahide

  The University Of Electro-communications

• Takahashi Keita

  The Univ. Of Tokyo

• Benitez-Garcia Gibran

  National Polytechnic Institute of Mexico:The University of Electro-Communications

• Sanchez-Perez Gabriel

  National Polytechnic Institute of Mexico

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