A smile can reveal your age

Abstract

Estimation of a person's age from the facial image has many applications, ranging from biometrics and access control to cosmetics and entertainment. Many image-based methods have been proposed for this problem. In this paper, we propose a method for the use of dynamic features in age estimation, and show that 1) the temporal dynamics of facial features can be used to improve imagebased age estimation; 2) considered alone, static image-based features are more accurate than dynamic features. We have collected and annotated an extensive database of face videos from 400 subjects with an age range between 8 and 76, which allows us to extensively analyze the relevant aspects of the problem. The proposed system, which fuses facial appearance and expression dynamics, performs with a mean absolute error of 4.81 (±4.87) years. This represents a significant improvement of accuracy in comparison to the sole use of appearance-based features.

What Does Your Gaze Reveal About You? On the Privacy Implications of Eye Tracking

“…Furthermore, detailed frontal face images, which are typically required for videobased eye tracking, have already been used for automated age estimation, for instance based on wrinkles in the eye area [15]. Dynamic facial expressions, such as smiles, may also be analyzed to infer the age of test subjects [17]. Other parameters utilized for computerized age-group recognition include iris size and iris texture [20].…”

What’s in a Smile? Initial Analyses of Dynamic Changes in Facial Shape and Appearance

“…Aesthetics (e.g., of smiles [3]) are therefore an important aspect of these fields. Much research into the "science of a smile" also focuses on the effects of aging and biological sex on the shape and appearance [4,5] and also the dynamics [6][7][8] of smiling. Recent investigations have been greatly enhanced by the use of three-dimensional (3D) imaging techniques [9][10][11][12][13] that allow both static and dynamic imaging of the face.…”

What’s in a Smile? Initial Analyses of Dynamic Changes in Facial Shape and Appearance

“…(3) Endocanthion left (enl); (4) Endocanthion right (enr); (5) Exocanthion left (exl); (6) Exocanthion right (exr); (7) Palpebrale superius left (psl); (8) Palpebrale superius right ( psr);…”

“…Aesthetics (e.g., of smiles [3]) are therefore an important aspect of these fields. Much research into the "science of a smile" also focuses on the effects of aging and biological sex on the shape and appearance [4][5] and also the dynamics [6][7][8] of smiling. Recent investigations have been greatly enhanced by the use of three-dimensional (3D) imaging techniques [9][10][11][12][13] that allow both static and dynamic imaging of the face.…”