Abstract
We address a self-adaptive face recognition scheme which is insensitive to facial expression variations. The proposed method takes advantage of self-adaptive classifier fusion based on facial geometry and RBF warping technology. Most previous face recognition schemes usually show vulnerability under changing facial expressions. The proposed scheme discriminates input face images into one of several context categories. The context categories are decided by unsupervised learning method based on the facial geometries that are derived from either scanned mosaic face images and/or coordinates of facial feature points. The proposed method provides a self-adaptive preprocessing and feature representation in accordance with the identified context category using the genetic algorithm and knowledge accumulation mechanism. The superiority of the proposed method is shown using FERET database where face images are relatively exposed to wide range of facial expression variation.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Nam, M.Y., Rhee, P.K.: A Novel Image Preprocessing by Evolvable Neural Network. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds.) KES 2004. LNCS (LNAI), vol. 3214, pp. 843–854. Springer, Heidelberg (2004)
Nam, M.Y., Rhee, P.K.: An Efficient Face Recognition for Variant Illumination Condition. In: ISPACS 2005, vol. 1, pp. 111–115 (2004)
Bronstein, A.M., Bronstein, M.M., Kimmel, R.: Expression-invariant 3D face recognition. In: Kittler, J., Nixon, M.S. (eds.) AVBPA 2003. LNCS, vol. 2688, pp. 62–69. Springer, Heidelberg (2003)
Martinez, A.M.: Recognizing Expression Variant Faces from a Single Sample Image per Class. In: Proc. IEEE Computer Vision and Pattern Recognition (CVPR), Madison (WI) (2003)
Sellahewa, H., Jassim, S.: Face Recognition in the presence of expression and/or illumination variation. In: Fourth IEEE Workshop on Automatic Identification Advanced Technologies, pp. 144–148 (2005)
Jeon, I.J., Kwon, K.S., Rhee, P.K.: Optimal Gabor Encoding Scheme for Face Recognition Using Genetic Algorithm. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds.) KES 2004. LNCS (LNAI), vol. 3213, pp. 227–236. Springer, Heidelberg (2004)
Kuncheva, L.I., Jain, L.C.: Designing classifier fusion systems by genetic algorithms. IEEE Transactions on Evolutionary Computation 4(4), 327–336 (2000)
Kim, S.-W., Oommen, B.J.: On using prototype reduction schemes and classifier fusion strategies to optimize kernel-based nonlinear subspace methods. IEEE Trans. Pattern Analysis and Machine Intelligence 27, 455–460 (2005)
Ludmila, I., Kuncheva: Switching Between Selection and Fusion in Combining Classifiers: An Experiment. IEEE Transactions on Systems, Man, and Cybernetics - part B: cybernetics 32(2), 146–156 (2002)
Liu, C., Wechsler, H.: Gabor Feature Classifier for Face Recognition, Computer Vision. In: 8th IEEE International Conference, pp. 270–275 (2001)
Yau, S., Karim, F., Wang, Y., Wang, B., Gupta, S.: Reconfigurable Context-Sensitive Middleware for Pervasive Computing. IEEE Pervasive Computing, 33-40 (2002)
Faugman, J.: Uncertainty relation for resolution in space, spatial frequency, and orientation optimization by two-dimensional cortical filters. Journal Opt. Soc. Amer. 2(7), 675–676 (1985)
Potzsch, M., Kruger, N., Von der Malsburg, C.: Improving Object recognition by Transforming Gabor Filter responses. Network: Computation in Neural Systems 7(2), 341–347 (1996)
Phillips, P.: The FERET database and evaluation procedure for face recognition algorithms. Image and Vision Computing 16(5), 295–306 (1999)
Shaokang, C., Brian, C.L.: Illumination and Expression Invariant Face Recognition with One Sample Image. In: Proceedings of the 17th International Conference on Pattern Recognition (ICPR 2004), vol. 1, pp. 300–303 (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Jung, E.S., Lee, S.W., Rhee, P.K. (2006). Self-adaptive Classifier Fusion for Expression-Insensitive Face Recognition. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2006. Lecture Notes in Computer Science(), vol 4251. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11892960_10
Download citation
DOI: https://doi.org/10.1007/11892960_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-46535-5
Online ISBN: 978-3-540-46536-2
eBook Packages: Computer ScienceComputer Science (R0)