Comparison of matrix decomposition and SIFT descriptor based methods for face alignment

Yalcin M., YAVUZ H. S.

24th Signal Processing and Communication Application Conference (SIU), Zonguldak, Türkiye, 16 - 19 Mayıs 2016, ss.1841-1844 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası:
  • Doi Numarası: 10.1109/siu.2016.7496121
  • Basıldığı Şehir: Zonguldak
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.1841-1844
  • Eskişehir Osmangazi Üniversitesi Adresli: Evet

Özet

Face alignment is an important pre-processing step for face analysis systems. Especially, the performance of face recognition systems can be improved by using aligned face images. In this work, we used matrix decomposition based and SIFT features based methods in face alignment. We performed recognition experiments by using raw versus aligned images with an image set based classification method. We also developed a SIFT-flow based affine transformation and showed that this type of alignment improves the recognition accuracies.