Robust gender and age estimation under varying facial pose

• Hironori Takimoto

• Yasue Mitsukura

• Minoru Fukumi

• Norio Akamatsu

抄録

This paper presents a method for gender and age estimation which is robust to changing facial pose. We propose a feature point detection method, called the adapted retinal sampling method (ARSM), and a feature extraction method. A basic concept of the ARSM is to add knowledge about the facial structure to the retinal sampling method. In this method, feature points are detected on the basis of seven points corresponding to facial organs from a facial image. The reason why we used seven points as the basis of feature point detection is that facial organs are conspicuous in the facial region, and are comparatively easy to extract. As features robust to changing facial pose, skin texture, hue, and the Gabor jet are used for gender and age estimation. For classification of gender and estimation of age, we use a multilayered neural network. We also examine the left– right symmetry of faces in connection with gender and age estimation by the proposed method. © 2008 Wiley Periodicals, Inc. Electron Comm Jpn, 91(7): 32– 40, 2008; Published online in Wiley InterScience (<jats:ext-link xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="http://www.interscience.wiley.com">www.interscience.wiley.com ). DOI 10.1002/ecj.10125

収録刊行物

• Electronics and Communications in Japan

  Electronics and Communications in Japan 91 (7), 32-40, 2008-07

  Wiley

キーワード

• Applied Mathematics
• Electrical and Electronic Engineering
• Computer Networks and Communications
• General Physics and Astronomy
• Signal Processing

詳細情報

• CRID: 1361134273552057088
• NII論文ID: 210000173413
• DOI: 10.1002/ecj.10125
• ISSN: 19429541
• ISSN: 19429533
• Web Site: https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fecj.10125
• Web Site: https://onlinelibrary.wiley.com/doi/pdf/10.1002/ecj.10125
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