Subjective age estimation system using facial images

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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. © IFIP International Federation for Information Processing 2005.

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Miyaraoto, N., Jinnouchi, Y., Nagata, N., & Inokuchi, S. (2005). Subjective age estimation system using facial images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3711 LNCS, pp. 223–229). https://doi.org/10.1007/11558651_22

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