Nasal Region-Based 3D Face Recognition under Pose and Expression Variations

  • Hamdi Dibeklioğlu
  • Berk Gökberk
  • Lale Akarun
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5558)


In this work, we propose a fully automatic pose and expression invariant part-based 3D face recognition system. The proposed system is based on pose correction and curvature-based nose segmentation. Since the nose is the most stable part of the face, it is largely invariant under expressions. For this reason, we have concentrated on locating the nose tip and segmenting the nose. Furthermore, the nose direction is utilized to correct pose variations. We try both one-to-all and Average Nose Model-based methodologies for registration. Our results show that the utilization of anatomically-cropped nose region increases the recognition accuracy up to 94.10 per cent for frontal facial expressions and 79.41 per cent for pose variations in the Bosphorus 2D/3D face database.


Facial Expression Face Recognition Facial Surface Minimum Energy Path High Recognition Rate 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. 1.
    Bowyer, K.W., Chang, K., Flynn, P.: A survey of approaches and challenges in 3D and multi-modal 3D + 2D face recognition. Computer Vision and Image Understanding 101, 1–15 (2006)Google Scholar
  2. 2.
    Alyüz, N., Gökberk, B., Dibeklioğlu, H., Akarun, L.: Component-based registration with curvature descriptors for expression insensitive 3D face recognition. In: International Conference on Automatic Face and Gesture Recognition (2008)Google Scholar
  3. 3.
    Moreno, A.B., Sanchez, A., Velez, J.F., Diaz, F.J.: Face recognition using 3D surface-extracted descriptors. In: Irish Machine Vision and Image Processing Conference (IMVIP) (2003)Google Scholar
  4. 4.
    Cook, J., Chandran, V., Fookes, C.: 3D face recognition using log-gabor templates. In: Biritish Machine Vision Conference, pp. 83–92 (2006)Google Scholar
  5. 5.
    Kakadiaris, I., Passalis, G., Toderici, G., Murtuza, N., Lu, Y., Karampatziakis, N., Theoharis, T.: 3D face recognition in the presence of facial expressions: an annotated deformable model approach. IEEE Trans. Pattern Analysis and Machine Intelligence 29, 640–649 (2007)Google Scholar
  6. 6.
    Chang, K.I., Bowyer, K.W., Flynn, P.J.: Adaptive rigid multi-region selection for handling expression variation in 3D face recognition. In: IEEE CVPR 2005, pp. 157–164 (2005)Google Scholar
  7. 7.
    Faltemier, T., Bowyer, K.W., Flynn, P.J.: 3D face recognition with region committee voting. In: Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT 2006), pp. 318–325 (2006)Google Scholar
  8. 8.
    Besl, P., McKay, N.: A method for registration of 3-D shapes. IEEE Trans. Pattern Analysis and Machine Intelligence 14, 239–256 (1992)Google Scholar
  9. 9.
    Faltemier, T., Bowyer, K., Flynn, P.: A region ensemble for 3-d face recognition. IEEE Transactions on Information Forensics and Security 3, 62–73 (2008)Google Scholar
  10. 10.
    Dibeklioğlu, H., Salah, A.A., Akarun, L.: 3D facial landmarking under expression, pose, and occlusion variations. In: IEEE BTAS 2008, Washington, DC, USA (2008)Google Scholar
  11. 11.
    Dorai, C., Jain, A.K.: Cosmos - a representation scheme for 3d free-form objects. IEEE Trans. PAMI 19, 1115–1130 (1997)Google Scholar
  12. 12.
    İrfanoǧlu, M.O., Gökberk, B., Akarun, L.: 3D shape-based face recognition using automatically registered facial surfaces. In: International Conference on Pattern Recognition (ICPR 2004), vol. 4, pp. 183–186 (2004)Google Scholar
  13. 13.
    Savran, A., Alyüz, N., Dibeklioğlu, H., Çeliktutan, O., Gökberk, B., Sankur, B., Akarun, L.: Bosphorus database for 3D face analysis. In: The First COST 2101 Workshop on Biometrics and Identity Management (BIOID) (2008)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Hamdi Dibeklioğlu
    • 1
  • Berk Gökberk
    • 2
  • Lale Akarun
    • 1
  1. 1.Computer Engineering DepartmentBoğaziçi UniversityTurkey
  2. 2.Department of Electrical EngineeringUniversity of TwenteThe Netherlands

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