3D shape-based face recognition using registered surface similarity Çakiştirilmiş Yüzey Benzerliǧine Dayali 3B Şekil Tabanli Yüz Tanima
Proceedings of the IEEE 12th Signal Processing and Communications Applications Conference, SIU 2004, Kusadasi, Türkiye, 28 - 30 Nisan 2004, ss.571-574, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Basıldığı Şehir: Kusadasi
- Basıldığı Ülke: Türkiye
- Sayfa Sayıları: ss.571-574
- Boğaziçi Üniversitesi Adresli: Evet
Özet
In this paper, we use three dimensional facial shape information for human face identification. We propose a new method to represent faces as 3D registered point clouds. Fine registration of facial surfaces is done by first automatically finding important facial landmarks and then, establishing a dense correspondence between points on the facial surface with the help of a 3D face template-aided thin plate spline algorithm. After the registration of facial surfaces, similarity between two faces is defined as a discrete approximation of the volume difference between facial surfaces. We call this similarity the point set difference (PSD). A second method proposed in this paper is the use of implicit polynomial invariants. Experiments done on the 3D RMA dataset show that the PSD algorithm performs as good as the point signature method, and it is statistically superior to the implicit polynomial based technique, point distribution model-based method and the 2D depth imagery technique. In terms of computational complexity, the proposed algorithm is faster than the point signature method. © 2004 IEEE.