Age estimation of faces: a review†

193 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Ageing faces in ageing minds: A review on the own-age bias in face recognition (2013, background): “…sensitive to these changes, and although the perception of facial age can be biased by perceptual adaptation (Schwein- berger et al., 2010; see also Lai, Oruc, & Barton, 2012; O’Neil & Webster, 2011), humans are relatively accurate at estimating the approximate age of a face (see Rhodes, 2009).”
Facial Contrast Is a Cross-Cultural Cue for Perceiving Age (2017, background): “A youthful appearance is of importance for many individuals, perhaps because it is a relevant predictor of aspects of health and facial attractiveness (Christensen et al., 2004; Rhodes, 2009).”
Demographic Estimation from Face Images: Human vs. Machine Performance (2015, background): “In particular, various aspects of human demographic estimation have been studied in the field of psychology [9], [10], [11].”
What Else Does Your Biometric Data Reveal? A Survey on Soft Biometrics (2016, background): “A main challenge in estimating age - whether this estimation is performed by humans (human-estimated visually perceived appearance age) or by machines (algorithmically estimated age) - comes from the fact that the aforementioned features are a function of many unknowns, including genetics, health co”