In this study, we hypothesized that the tendency toward an age estimation bias when judging age based on facial images was driven by relative comparison with one’s own age, similar to situations of face-to-face communication. Using facial images as stimuli, participants were asked to assess the ages of those in the images in relative terms (younger or older than the participants themselves). We...

This paper proposes a novel age estimation method Global and Local feAture based Age estiMation (GLAAM) relying on global and local features of facial images. Global features are obtained with Active Appearance Models (AAM). Local features are extracted with regional 2D-DCT (2dimensional Discrete Cosine Transform) of normalized facial images. GLAAM consists of the following modules: face normal...

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 ap...

Human face is the non-verbal portal into the person. A person’s gender, mood, country of origin, age category, and identity can be identified from the face. There has been a growing interest in automatic age estimation from facial images due to a variety of potential applications in law enforcement, security control, and human computer interaction (HCI). This paper presents a method to improve ...

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 fa...