Facial landmark localization in depth images using Supervised Descent Method Yüz Derinlik Imgelerinde Güdümlü Iniş Yöntemini Kullanarak Nirengi Noktasi Bulma
2015 23rd Signal Processing and Communications Applications Conference, SIU 2015, Malatya, Türkiye, 16 - 19 Mayıs 2015, ss.1997-2000, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Doi Numarası: 10.1109/siu.2015.7130256
- Basıldığı Şehir: Malatya
- Basıldığı Ülke: Türkiye
- Sayfa Sayıları: ss.1997-2000
- Anahtar Kelimeler: 3D facial landmark localization, face depth images, supervised descent method
- Boğaziçi Üniversitesi Adresli: Evet
Özet
This paper proposes using the state of the art 2D facial landmark localization method, Supervised Descent Method (SDM), for facial landmark localization in 3D depth images. The proposed method was evaluated on frontal faces with no occlusion from the Bosphorus 3D Face Database. In the experiments, in which 2D features were used to train SDM, the proposed approach achieved state-of-the-art performance for several landmarks over the currently available 3D facial landmark localization methods.