Facial Age Estimation Using Spatial Weber Local Descriptor

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GÜNAY YILMAZ A., NABIYEV V.

39th International Conference on Telecommunications and Signal Processing (TSP), Vienna, Avusturya, 27 - 29 Haziran 2016, ss.466-469, (Tam Metin Bildiri)

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası:
  • Doi Numarası: 10.1109/tsp.2016.7760922
  • Basıldığı Şehir: Vienna
  • Basıldığı Ülke: Avusturya
  • Sayfa Sayıları: ss.466-469
  • Açık Arşiv Koleksiyonu: AVESİS Açık Erişim Koleksiyonu
  • Karadeniz Teknik Üniversitesi Adresli: Evet

Özet

This paper introduces a novel age estimation method using a new texture descriptor Weber Local Descriptor (WLD). This texture descriptor is analyzed in depth for age estimation problem. In the study, the multi-scale versions of holistic and spatial WLD (SWLD) descriptors are used to extract the age related features from normalized facial images. After finding a lower dimensional feature subspace, age estimation is performed using multiple linear regression. In addition a new approach of dividing image into regions for spatial texture extraction is proposed. Experiments on FG-NET, MORPH and PAL databases have shown that the proposed method gives better accuracy than the state of art age estimation approaches.