12-7 Comparison of Facial Expression Recognition Rates Depending on Combination of Different Facial Regions

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概要

• 論文の詳細を見る

• This work presents a facial expression recognition algorithm based on segmentation of a face image into four facial regions (forehead, eyes, nose and mouth) in order to compare recognition rates using one region and all possible combinations of four facial regions. 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
• 2012-12-18

著者

• Perez-meana Hector

  National Polytechnic Institute Of Mexico

• Sanchez-Perez Gabriel

  National Polytechnic Institute of Mexico

• Takahashi Keita

  電気通信大学大学院情報理工学研究科知能機械工学専攻

• Benitez-Garcia Gibran

  電気通信大学大学院情報理工学研究科知能機械工学専攻

• Kaneko Masahide

  電気通信大学大学院情報理工学研究科知能機械工学専攻

関連論文

• Fuzzy Directional (FD) Filter to Remove Impulse Noise from Colour Images
• Alaryngeal Speech Enhancement Using Pattern Recognition Techniques(Biomedical Circuits and Systems, Recent Advances in Circuits and Systems-Part1)
• Facial Expression Recognition Under Partial Occlusion Based on Facial Region Segmentation
• 12-7 Comparison of Facial Expression Recognition Rates Depending on Combination of Different Facial Regions
• 2-6 Efficient Search for Receiver Based on Audiovisual Information under Complex Environment : Toward an Intelligent Delivery Robot-

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