Sexual Dimorphism Analysis and Gender Classification in 3D Human Face

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概要

• 論文の詳細を見る

• In this paper, we present the sexual dimorphism analysis in 3D human face and perform gender classification based on the result of sexual dimorphism analysis. Four types of features are extracted from a 3D human-face image. By using statistical methods, the existence of sexual dimorphism is demonstrated in 3D human face based on these features. The contributions of each feature to sexual dimorphism are quantified according to a novel criterion. The best gender classification rate is 94% by using SVMs and Matcher Weighting fusion method.This research adds to the knowledge of 3D faces in sexual dimorphism and affords a foundation that could be used to distinguish between male and female in 3D faces.

• （社）電子情報通信学会の論文
• 2010-09-01

著者

• Lu Li

  Institute Of Image Processing And Pattern Recognition Shanghai Jiao Tong University

• SHI Pengfei

  Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University

• Liu Zhi

  Shandong University

• Hu Yuan

  Institute Of Image Processing And Pattern Recognition Shanghai Jiao Tong University

• YAN Jingqi

  Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University

• Yan Jingqi

  Institute Of Image Processing And Pattern Recognition Shanghai Jiao Tong University

• Shi Pengfei

  Institute Of Image Processing And Pattern Recognition Shanghai Jiao Tong University

• Shi Pengfei

  Institute of Image Processing & Pattern Recognition, Shanghai Jiaotong University

関連論文

• Fusion of Multiple Facial Features for Age Estimation
• Sexual Dimorphism Analysis and Gender Classification in 3D Human Face
• 3D Face Landmarking Method under Pose and Expression Variations
• Fusion of multiple facial regions for expression-invariant gender classification
• Efficient iris recognition system based on iris anatomical structure

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