Abstract
One of the major difficulties of face recognition is the aging problem, that is, the performances of most algorithms degrade significantly when the age difference between the test face and the queried face increases. With the idea of simulating age effects on facial images, Several approaches had been developed to handle the aging problem. This paper provides a novel approach of aging simulation based on super-resolution of face images. The texture of target age face is hallucinated to gain simulation outcome. The experimental results show that the proposed algorithm is valid.
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References
Thompson, D.W.: On Growth and Form. Cambridge Univ. Press, Cambridge (1961)
Burt, D.M., Perrett, D.I.: Perception of Age in Adult Caucasian Male Faces: Compter Graphic Manipulation of Shape and Color Information. In: Proc. Royal Soc. London, vol. 259, pp. 137–143 (1995)
O’Toole, A.J., Vetter, T., Volz, H., Salter, E.: Three Dimensional Caricatures of Human Heads: Distinctiveness and Perception of Age. Perception 26, 719–732 (1997)
O’Toole, A.J., Price, T., Vetter, T., Barlett, J.C., Blanz, V.: 3D Shape and 2D Surface Textures of Human Faces: The ’Role’ of ’Averages in Attractiveness and Age’. Image and Vision Computing 18, 9–20 (1999)
Choi, C.: Age Change for Predicting Future Faces. In: Proceedings of IEEE International Fuzzy Systems Conference, pp. 1603–1608. IEEE Computer Society Press, Los Alamitos (1999)
Hussein, K.H.: Towards Realistic Facial Modeling and Re-Rendering of Human Skin Aging Animation. In: Proc. of the Shape Modeling International (2002)
Lanitis, A., Taylor, C.J., Cootes, T.F.: Modeling the Process of Aging in Face Images. In: Proc. of IEEE ICCV 1999, vol. 1, pp. 131–136 (1999)
Lanitis, A., Taylor, C.J., Cootes, T.F.: Towards Automatic Simulation of Aging Effects on Face Images. IEEE Trans on PAMI 24(4), 442–456 (2002)
Freeman, W., Pasztor, E.: Learning Low-level Vision. In: 7th International Conference on Computer Vision, pp. 1182–1189 (1999)
Baker, S., Kanade, T.: Hallucinating Faces. In: Proc. of IEEE Automatic Face and Gesture Recognition, pp. 83–90. IEEE Computer Society Press, Los Alamitos (2000)
Capel, D.P., Zisserman, A.: Super-resolution from Multiple Views Using Learnt Image Models. In: Proc. of IEEE International Conference on Computer Vision and Pattern Recognition, IEEE Computer Society Press, Los Alamitos (2001)
Elad, M., Feuer, A.: Restoration of a Single Superresolution Image from Several Blurred, Noisy, and Undersampled Measured Images. IEEE Trans. on Image Processing 6(12), 1646–1658 (1997)
Irani, M., Peleg, S.: Improving Resolution by Image Registration, CVGIP: Graphical Models and Image Proc., vol. 53, pp. 231–239 (1991)
Schulz, R.R., Stevenson, R.L.: Extraction of High-resolution Frames from Video Sequences. IEEE Trans. on Image Processing 5, 996–1011 (1996)
Kwon, Y.H., Lobo, N.V.: Age Classifacation from Facial Images. Computer Vision and Image Understanding 74(1), 1–21 (1999)
Moghaddam, B.: Principal Manifolds and Probabilistic Subspaces for Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 24(6), 780–788 (2002)
Wang, X., Tang, X.: Hallucinating Face by Eigentransformation. IEEE Trans. on Systems, Man and Cybernetics, Part-C, Special issue on Biometrics Systems (2005)
Zheng, N., Fu, Y., Zhang, T., Zhuo, F.: Facial Expression Transformation, Aging and Invisible View Reconstruction(1). ACTA ELECTRONICA SINICA 31, 1955–1962 (2003)
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Geng, W., Wang, Y. (2007). Aging Simulation of Face Images Based on Super-Resolution. In: Huang, DS., Heutte, L., Loog, M. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques. ICIC 2007. Communications in Computer and Information Science, vol 2. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74282-1_104
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DOI: https://doi.org/10.1007/978-3-540-74282-1_104
Publisher Name: Springer, Berlin, Heidelberg
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