Abstract
This paper describes face recognition across facial expressions variations. We focus on an automatic feature extraction technique which is not only efficient but also accurate for person identification. A 3D wireframe model is fitted to face images using a robust objective function. Furthermore, we extract structural and textural information which is coupled with temoral information from the motion of local facial features. The extracted information is combined to form a feature vector descriptor for each image. This set of features has been tested on two databases for face recognition across facial expressions. We use Bayesian Network (BN) and Binary Decision Trees (BDT) as classifiers. The developed system is automatic, real-time capable and efficient.
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References
Beetz, M., et al.: The Assistive Kitchen — A Demonstration Scenario for Cognitive Technical Systems. In: Proceedings of the 4th COE Workshop on Human Adaptive Mechatronics, HAM (2007)
Zhao, W., Chellapa, R., Rosenfeld, A., Philips, P.J.: Face Recognition: A Literature Survey. ACM Computing Surveys 35(4), 399–458 (2003)
Sirovich, L., Kirby, M.: Low-dimensional procedure for the characterization of human faces. J. Opt. Soc. Am. A 4(3), 519–524 (1987)
Turk, M.A., Pentland, A.P.: Eigenfaces for Recognition. Journal of Cognitive Neuroscience 3(1), 71–86 (1991)
Edwards, G.J., Taylor, C.J., Cootes, T.F.: Interpreting Face Images using Active Appearance Models. In: Proceedings of International Conference on Automatic Face and Gesture Recognition, pp. 300–305 (1998)
Cootes, T.F., Edwards, G.J., Taylor, C.J.: Active Appearance Models. In: Proceedings of European Conference on Computer Vision, vol. 2, pp. 484–498. Springer, Heidelberg (1998)
Edwards, G.J., Cootes, T.F., Taylor, C.J.: Face Recognition using Active Appearance Models. In: Proceeding of European Conference on Computer Vision, vol. 2, pp. 581–695. Springer, Heidelberg (1998)
Edwards, G.J., Lanitis, A., Taylor, C.J., Cootes, T.: Statistical Models of Face Images: Improving Specificity. In: British Machine Vision Conference, Edinburgh, UK (1996)
Belheumeur, P.N., Hespanha, J.P., Kreigman, D.J.: Eigenfaces vs Fisherfaces: Recognition using Class Specific Linear Projection. IEEE Transaction on Pattern Analysis and Machine Intelligence 19(7) (July 1997)
Wimmer, M., Riaz, Z., Mayer, C., Radig, B.: Recognizing Facial Expressions Using Model-Based Image Interpretation. Advances in Human-Computer Interaction
Wimmer, M., Stulp, F., Tschechne, S., Radig, B.: Learning Robust Objective Functions for Model Fitting in Image Understanding Applications. In: Proceedings of the 17th British Machine Vision Conference, BMVA, Edinburgh, UK, pp. 1159–1168 (2006)
Blanz, V., Vetter, T.: Face Recognition Based on Fitting a 3D Morphable Model. IEEE Transactions on Pattern Analysis and Machine Intelligence 25(9), 1063–1074 (2003)
Ahlberg, J.: An Experiment on 3D Face Model Adaptation using the Active Appearance Algorithm. Image Coding Group, Deptt. of Electric Engineering Linköping University
Riaz, Z., et al.: A Model Based Approach for Expression Invariant Face Recognitio. In: 3rd International Conference on Biometrics, Italy (June 2009)
Bronstein, A., Bronstein, M., Kimmel, R., Spira, A.: 3D face recognition without facial surface reconstruction. In: Proceedings of European Conference of Computer Vision Prague, Czech Republic, May 11-14 (2004)
Park, U., Jain, A.K.: 3D Model-Based Face Recognition in Video. In: 2nd International Conference on Biometrics, Seoul, Korea (2007)
Li, S.Z., Jain, A.K.: Handbook of Face recognition. Springer, Heidelberg (2005)
Kanade, T., Cohn, J.F., Tian, Y.: Comprehensive database for facial expression analysis In. In: Proceedings of Fourth IEEE International Conference on Automatic Face and Gesture Recognition (FGR 2000), Grenoble, France, pp. 46–53 (2000)
The MMI Facial Expression Database, www.mmifacedb.com
Wimmer, M., Stulp, F., Pietzsch, S., Radig, B.: Learning local objective functions for robust face model fitting. In: IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI 2007) (2007)
Witten, I.H., Frank, E.: Data Mining: Practical machine learning tools and techniques, 2nd edn. Morgan Kaufmann, San Francisco (2005)
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Riaz, Z., Mayer, C., Beetz, M., Radig, B. (2009). Face Recognition Using Wireframe Model Across Facial Expressions. In: Fierrez, J., Ortega-Garcia, J., Esposito, A., Drygajlo, A., Faundez-Zanuy, M. (eds) Biometric ID Management and Multimodal Communication. BioID 2009. Lecture Notes in Computer Science, vol 5707. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04391-8_16
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DOI: https://doi.org/10.1007/978-3-642-04391-8_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04390-1
Online ISBN: 978-3-642-04391-8
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