Women in Robotics, Human Science and Technology (2)-3
Event Date: 2006-03-07 16:15
| Date: 2006.3.7 (Tue) 16:20-16:50
Speaker: Noriko Nagata
Authors: Noriko Nagata, Naoyuki Miyamoto, Yumi Jinnouchi and Seiji Inokuchi
Title: Subjective Age Estimation using Facial Images - the Effects of Gender, Expressions and Age Groups -
Keywords: Subjective age, facial image, rating scales methods, estimation, chronological age, affective computing
Type: Organized Session
Affiliation: Nagata Laboratory, School of Science and Technology, Kwansei Gakuin University
Position: Associate Professor
Disciplines: Machine Vision, Audio-visual Interaction, Affective Computing, Computer Graphics, Brain Science
Societies and Conferences: IEEE Computer Society, Information Processing Society of Japan (IPSJ), The Institute of Electronics, Information and Communication Engineers (IEICE), The Institute of Electrical Engineers of Japan (IEE), Japanese Academy of Facial Studies
Bibliography: Noriko Nagata, Naoyuki Miyamoto, Yumi Jinnouchi, and Seiji Inokuchi, " Subjective Age Estimation using Facial Images - the Effects of Gender, Expressions and Age Groups -", Intelligent Autonomous Systems 9 T. Arai et al. (Eds.) IOS Press, pp.1007--1014, 2006.
Abstract:
We propose a relative estimation method for subjective age, imaged by ourselves, using peoples’ facial images and their chronological (real) age. We experimented with a rating scale for facial images which stimulated subjects. The subject evaluated an image as looking older than themselves with a range of responses. Finding an approximation curve of this range, the zero crossing point in the approximation curve is defined as the subjective age. The experimental result shows that the subjective age tends to be found in negative direction (tendency to estimate oneself as younger than actual). Besides, there are other trends between gender, between age groups, and between the different expressions such as ordinary and smiling.
References:
[1] Hayashi, J., Yasumoto, M., Ito, H. and Koshimizu, H., “Age and Gender Estimation and Modeling by Means of Facial Image Processing,” Proc. KES2001 Knowledge-Based Intelligent Information Engineering Systems and Allied Technologies, Part2, pp. 1128-1136, September 2001.
[2] Sato, S., Shimonaka, Y., Nakazato, K. and Kawaai, C., “A Life-Span Developmental Study of Age Identity: Cohort and Gender Differences,” The Japanese J. Developmental Psychology, Vol. 8, No. 2, pp. 88-97, 1997.
[3] Noriko Nagata and Seiji Inokuchi, “Subjective age obtained from facial images -How old we feel compared to others ?, “ V. Palade, R. J. Howlett and L. Jain (Eds.), Knowledge-Based Intelligent Information and Engineering Systems II, Lecture Notes in Artificial Intelligence 2774, Springer-Verlag, pp. 877-881, 2003.
[4] Dillon, W.R. and Goldstein, M., Multivariate Analysis, John Wiley & Sons, 1984. |
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