Abstract
Computer based methods for facial age estimation can be improved by incorporating experimental findings from human psychophysics. Moreover, the latter can be used in creating systems that are not necessarily more accurate in age estimation, but strongly resemble human age estimations. In this paper we investigate the perceptual hypothesis that contrast is a useful cue for estimating age from facial appearance. Using an extensive evaluation paradigm, we establish that using a perceptual color space improves computer’s age estimation, and more importantly, using contrast-enabled features results in estimations that are more correlated to human estimations.
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References
Burt, D.M., Perrett, D.I.: Perception of age in adult caucasian male faces: computer graphic manipulation of shape and colour information. Proceedings of the Royal Society of London. Series B: Biological Sciences 259(1355), 137–143 (1995)
Dibeklioğlu, H., Salah, A.A., Gevers, T.: Are you really smiling at me? Spontaneous versus posed enjoyment smiles. In: Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds.) ECCV 2012, Part III. LNCS, vol. 7574, pp. 525–538. Springer, Heidelberg (2012)
Dibeklioğlu, H., Salah, A.A., Gevers, T.: A statistical method for 2-d facial landmarking. IEEE Trans. on Image Processing 21(2), 844–858 (2012)
Fink, B., Matts, P.: The effects of skin colour distribution and topography cues on the perception of female facial age and health. Journal of the European Academy of Dermatology and Venereology 22(4), 493–498 (2008)
Fu, Y., Guo, G., Huang, T.S.: Age synthesis and estimation via faces: A survey. IEEE Trans. on PAMI 32(11), 1955–1976 (2010)
Geng, X., Smith-Miles, K., Zhou, Z.: Facial age estimation by nonlinear aging pattern subspace. ACM Multimedia, 721–724 (2008)
Geng, X., Zhou, Z.-H., Zhang, Y., Li, G., Dai, H.: Learning from facial aging patterns for automatic age estimation. ACM Multimedia, 307–316 (2006)
Gunn, D.A., Rexbye, H., Griffiths, C.E., Murray, P.G., Fereday, A., Catt, S.D., Tomlin, C.C., Strongitharm, B.H., Perrett, D.I., Catt, M., et al.: Why some women look young for their age. PLoS One 4(12), e8021 (2009)
Michelson, A.A.: Studies in optics. Dover Publications (1995)
Murphy, C.A.: The role of perception in age estimation. In: Gladyshev, P., Rogers, M.K. (eds.) ICDF2C 2011. LNICST, vol. 88, pp. 1–16. Springer, Heidelberg (2012)
Nkengne, A., Bertin, C., Stamatas, G., Giron, A., Rossi, A., Issachar, N., Fertil, B.: Influence of facial skin attributes on the perceived age of caucasian women. Journal of the European Academy of Dermatology and Venereology 22(8), 982–991 (2008)
Ojala, T., Pietikainen, M., Harwood, D.: A comparative study of texture measures with classification based on featured distributions. Pattern Recognition 29(1), 51–59 (1996)
Ojala, T., Pietikainen, M., Maenpaa, T.: Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. IEEE Trans. on PAMI 24(7), 971–987 (2002)
Porcheron, A., Mauger, E., Morizot, F., Russell, R.: Faces with higher contrast look younger. Journal of Vision 11(11), 635 (2011)
Ramanathan, N., Chellappa, R., Biswas, S.: Computational methods for modeling facial aging: A survey. Journal of Visual Languages & Computing 20(3), 131–144 (2009)
Ricanek, K., Tesafaye, T.: Morph: A longitudinal image database of normal adult age-progression. In: International Conference on Automatic Face and Gesture Recognition, pp. 341–345 (2006)
Stokes, M., Anderson, M., Chandrasekar, S., Motta, R.: A standard default color space for the internet-srgb. In: Microsoft and Hewlett-Packard Joint Report (1996)
Suo, J., Zhu, S.C., Shan, S., Chen, X.: A compositional and dynamic model for face aging. IEEE Trans. on PAMI 32(3), 385–401 (2010)
The FG-NET Aging Database (2002), http://sting.cycollege.ac.cy/~alanitis/fgnetaging/index.htm
Voelkle, M.C., Ebner, N.C., Lindenberger, U., Riediger, M.: Let me guess how old you are: Effects of age, gender, and facial expression on perceptions of age. Psychology and Aging 27(2), 265 (2012)
Wang, J.-G., Yau, W.-Y., Wang, H.L.: Age categorization via ecoc with fused gabor and lbp features. In: Workshop on Applications of Computer Vision, pp. 1–6. IEEE (2009)
Zhan, C., Li, W., Ogunbona, P.: Age estimation based on extended non-negative matrix factorization. In: IEEE Int. Workshop on Multimedia Signal Processing (2011)
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Dibeklioğlu, H., Gevers, T., Lucassen, M., Salah, A.A. (2014). The Role of Color and Contrast in Facial Age Estimation. In: Park, H.S., Salah, A.A., Lee, Y.J., Morency, LP., Sheikh, Y., Cucchiara, R. (eds) Human Behavior Understanding. HBU 2014. Lecture Notes in Computer Science, vol 8749. Springer, Cham. https://doi.org/10.1007/978-3-319-11839-0_5
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DOI: https://doi.org/10.1007/978-3-319-11839-0_5
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