Research Progress on Human Facial Age Estimation and Synthesis of Age-correlated Appearance

PAN Siyu, ZHAO Wenting, TANG Kun, MA Xin, YE Jian, LI Caixia

Forensic Science and Technology ›› 2017, Vol. 42 ›› Issue (4) : 270-276. DOI: 10.16467/j.1008-3650.2017.04.003
Focus: DNA-based Facial Portrait

Research Progress on Human Facial Age Estimation and Synthesis of Age-correlated Appearance

  • PAN Siyu1, ZHAO Wenting2, TANG Kun3, MA Xin2, YE Jian1, 2, *, LI Caixia2, *
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Abstract

Human facial age estimation and aging progression are being increasingly paid much attention because of their huge value in the aspects of forensic investigation, missing people searching, security control and surveillance. Computer-based age estimation is defined to label a face image with an exact age or age scope. Age-correlated appearance synthesis (aging progression) is a process of re-rendering the images of an individual’s face to represent the effect of aging or rejuvenating on their appearance based on the rule of facial features changing along with aging. Both techniques above have rapidly developed in the last decades thanks to the combination of the various ever-improving statistics and iconography. Facial aging correlates to some unique characteristics such as smoothness, face shape changes, wrinkles, drooping eyelids and pouches under the eyes, all of which make age estimation a challenging and complicated task. A large number of statistical and/or graphical models have been applied to promote the age estimation, including active appearance model (AAM), aging pattern subspace model (AGES), age manifold model and bio-inspired features (BIF) model. Most of these automatic models are based on classification and/or regression algorithms. Moreover, in order to find a particular progressive aging pattern and render aging faces in a personalized way, researchers have ameliorated the automatic appearance models by learning a set of age-group specific dictionaries or aging markers. In this review, the techniques were surveyed on facial image-based age estimation and age-correlated appearance synthesis: existing models, popular algorithms and their systematic performances. The technical difficulties were also discussed along with the future directions.

Key words

facial images / age estimation / age-correlated appearance synthesis

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PAN Siyu, ZHAO Wenting, TANG Kun, MA Xin, YE Jian, LI Caixia. Research Progress on Human Facial Age Estimation and Synthesis of Age-correlated Appearance. Forensic Science and Technology. 2017, 42(4): 270-276 https://doi.org/10.16467/j.1008-3650.2017.04.003

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