Face classification via sparse approximations Seyrek yaklaşimlar ile yüz siniflama

Sönmez E. B., Sankur B., VARLI S.

2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011, Antalya, Türkiye, 20 - 22 Nisan 2011, ss.702-705, (Tam Metin Bildiri) identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/siu.2011.5929748
  • Basıldığı Şehir: Antalya
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.702-705
  • Yıldız Teknik Üniversitesi Adresli: Evet

Özet

2D face classification problem is very difficult because of the illumination, pose, expression and occlusion factor. The sparse Representation based classification (SRC) provides a significant amount of robustness against to illumination changes and noise. In this study, sparse approximation is used on face recognition and applied to "Extended Yale Face B" database. Results of sparse approximation classification are compared with Fisher Linear Discriminator. © 2011 IEEE.