3D face recognition Benchmarks on the bosphorus database with focus on facial expressions
1st European Workshop on Biometrics and Identity Management, BIOID 2008, Roskilde, Danimarka, 7 - 09 Mayıs 2008, cilt.5372 LNCS, ss.57-66, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Cilt numarası: 5372 LNCS
- Doi Numarası: 10.1007/978-3-540-89991-4_7
- Basıldığı Şehir: Roskilde
- Basıldığı Ülke: Danimarka
- Sayfa Sayıları: ss.57-66
- Boğaziçi Üniversitesi Adresli: Evet
Özet
This paper presents an evaluation of several 3D face recognizers on the Bosphorus database which was gathered for studies on expression and pose invariant face analysis. We provide identification results of three 3D face recognition algorithms, namely generic face template based ICP approach, one-to-all ICP approach, and depth image-based Principal Component Analysis (PCA) method. All of these techniques treat faces globally and are usually accepted as baseline approaches. In addition, 2D texture classifiers are also incorporated in a fusion setting. Experimental results reveal that even though global shape classifiers achieve almost perfect identification in neutral-to-neutral comparisons, they are sub-optimal under extreme expression variations. We show that it is possible to boost the identification accuracy by focusing on the rigid facial regions and by fusing complementary information coming from shape and texture modalities. © 2008 Springer Berlin Heidelberg.