Published May 23, 2008
| Version 14248
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Reliable Face Alignment Using Two-Stage AAM
Description
AAM (active appearance model) has been successfully
applied to face and facial feature localization. However, its performance is sensitive to initial parameter values. In this paper, we propose a two-stage AAM for robust face alignment, which first fits an
inner face-AAM model to the inner facial feature points of the face and then localizes the whole face and facial features by optimizing the
whole face-AAM model parameters. Experiments show that the proposed face alignment method using two-stage AAM is more reliable to the background and the head pose than the standard
AAM-based face alignment method.
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References
- Li, S.Z., Jain, A.K.: Handbook of Face Recognition. Springer (2004).
- Shan, S., Chang, Y., Gao, W., Cao, B., Yang, P.: Curse of Mis-alignment in Face Recognition: Problem and a Novel Mis-alignment Learning Solution, Proc. 6th IEEE Conf. on Automatic Face and Gesture Recognition, (2004) 314 - 3203.
- Li, S.Z., Cheng, Y. S., Zhang, H. J., Cheng, Q. S.: Multi-View Face Alignment Using Direct Appearance Models. Proc. 5th IEEE Conf. on Automatic Face and Gesture Recognition, (2004) 309-314.
- Jiao, F., Li, S.Z., Shum, H-Y., Schuurmans, D.: Face Alignment Using Statistical Models and Wavelet Features. Proc. 2003 IEEE Computer Society Conf. on Computer Vision and Pattern Recognition, Vol.1, (2003) I-321 - I-327.
- Huang, Y., Lin, S., Li, S.Z., Lu, H., Shum, H.-Y.: Face Alignment Under Variable Illumination. Proc. 6th IEEE Int-l Conf. on Automatic Face and Gesture Recognition, (2004) 85-90.
- Xin, S., Ai, H.: Face Alignment under Various Poses and Expressions. ACII2005, LNCS 3784, (2005) 40-47.
- Zhang, L., Haizhou A., Xin, Huang, C., Tsukiji, S.: Robust Face Alignment Based on Local Texture Classifiers. IEEE Conf. on Image Processing, Vol. 2, (2005) 354-357.
- Edwards, G., Taylor, C. J., Cootes, T. F.: Interpreting Face Images using Active Appearance Models. Proc. IEEE Int. Conf. Automatic Face and Gesture Recognition, (1998) 300-305.
- Cootes, T. F., Edwards, G. J., Taylor, C. J., Burkhardt, H., Neuman, B.: Active appearance models. Proc. Eur. Conf. Computer Vision, Vol. 2, (1998) 484-498. [10] Cootes, T. F., Edwards, G. J., Taylor, C. J.: Active Appearance Models. IEEE Trans. Pattern Anal. Mach. Intell., Vol. 23, no. 6, (2001) 681-685. [11] Matthews, I., Baker, S.: Active Appearance Models Revisited. Int. Journal of Computer Vision, Vol. 60, No. 2, (2004) 135 - 164. [12] Batur, A.U., Hayes, M.H.: Adaptive Active Appearance Models. IEEE Trans. Image Processing, Vol. 14, Issue 11, (2005) 1707- 1721. [13] Cristinancce, D., Cootes, T. , Scott, I.: A Multi-Stage Approach to Facial Feature Detection. Proc. British Machine Vision Conference, Vol.1, (2004) 277-286. [14] Boyd. S., Vandenberghe, L.: Convex Optimization. Cambridge University Press. [15] Gower, J. C.: Generalized Procrustes analysis. Psychometrika, Vol. 40, (1975) 33-51. [16] Lee, D. T., Lee, D. T., Schachter, B. J.: Two Algorithms for Constructing a Delaunay Triangulation. Int. J. Computer Information Sci. Vol.9, (1980) 219-242. [17] DTU(Technical university of Denmark) IMM face database,http://www2.imm.dtu.dk/~aam/.