Abstract
A new 3D face database that includes a rich set of expressions, systematic variation of poses and different types of occlusions is presented in this paper. This database is unique from three aspects: i) the facial expressions are composed of judiciously selected subset of Action Units as well as the six basic emotions, and many actors/actresses are incorporated to obtain more realistic expression data; ii) a rich set of head pose variations are available; and iii) different types of face occlusions are included. Hence, this new database can be a very valuable resource for development and evaluation of algorithms on face recognition under adverse conditions and facial expression analysis as well as for facial expression synthesis.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Ekman, P., Friesen, W.V.: Facial Action Coding System: A Technique for the Measurement of Facial Movement. Consulting Psychologists Press, Palo Alto (1978)
Phillips, P., Flynn, P., Scruggs, T., Bowyer, K., Chang, J., Hoffman, K., Marques, J., Min, J., Worek, W.: Overview of the face recognition grand challenge. In: Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference, vol. 1, pp. 947–954 (2005)
Yin, L., Wei, X., Sun, Y., Wang, J., Rosato, M.J.: A 3D Facial Expression Database For Facial Behavior Research. 7th Int. In: Conference on Automatic Face and Gesture Recognition (FGR 2006), April 10-12, 2006, pp. 211–216 (2006)
Faltemier, T.C., Bowyer, K.W., Flynn, P.J.: Using a multi-instance enrollment representation to improve 3d face recognition. In: First IEEE Int. Conf. on Biometrics: Theory, Applications, and Systems, BTAS 2007, pp. 1–6 (2007)
Heseltine, T., Pears, N., Austin, J.: Three-dimensional face recognition using combinations of surface feature map subspace components. Image and Vision Computing 26, 382–396 (2008)
Zhong, C., Sun, Z., Tan, T.: Robust 3d face recognition using learned visual codebook. In: IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2007, pp. 1–6 (2007)
Moreno, A., Sanchez, A.: Gavabdb: A 3d face database. In: Proc. 2nd COST275 Workshop on Biometrics on the Internet (2004)
Beumier, C., Acheroy, M.: Face verification from 3d and grey level cues. Pattern Recognition Letters 22, 1321–1329 (2001)
Ekman, P., Friesen, W.V.: Constants Across Cultures in the Face and Emotion. Journal of Personality and Social Psychology 17(2), 124–129 (1971)
Wallraven, C., Cunningham, D.W., Breidt, M., Bülthoff, H.H.: View dependence of complex versus simple facial motions. In: Bülthoff, H.H., Rushmeier, H. (eds.) Proceedings of the First Symposium on Applied Perception in Graphics and Visualization, vol. 181, ACM SIGGRAPH (2004)
Inspeck Mega Capturor II Digitizer: http://www.inspeck.com/
Alyüz, N., Gökberk, B., Dibeklioğlu, H., Savran, A., Salah, A.A., Akarun, L., Sankur, B.: 3D Face Recognition Benchmarks on the Bosphorus Database with Focus on Facial Expressions. In: First European Workshop on Biometrics and Identity Management Workshop (BioID 2008) (2008)
Çeliktutan, O., Sankur, B., Akakın, H.Ç.: Multi-Attribute Robust Facial Feature Localization. FG 2008: 8th IEEE on Automatic Face and Gesture Recognition, Amsterdam (September 2008)
Savran, A., Sankur, B.: Non-Rigid Registration of 3D Surfaces by Deformable 2D Triangular Meshes. In: CVPR 2008: Workshop on Non-Rigid Shape Analysis and Deformable Image Alignment (NORDIA 2008), Alaska (2008)
Akagündüz, E., Ulusoy, İ.: 3D Object Representation Using Transform and Scale Invariant 3D Features. In: Workshop on 3D Representation for Recognition (3dRR 2007), ICCV 2007 (2007)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Savran, A. et al. (2008). Bosphorus Database for 3D Face Analysis. In: Schouten, B., Juul, N.C., Drygajlo, A., Tistarelli, M. (eds) Biometrics and Identity Management. BioID 2008. Lecture Notes in Computer Science, vol 5372. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89991-4_6
Download citation
DOI: https://doi.org/10.1007/978-3-540-89991-4_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-89990-7
Online ISBN: 978-3-540-89991-4
eBook Packages: Computer ScienceComputer Science (R0)