Deep Regression Forests for Age Estimation

Understand

Age estimation from facial images is typically cast as a nonlinear regression problem.

• The main challenge of this problem is the facial feature space w.r.t.
• ages is heterogeneous, due to the large variation in facial appearance across different persons of the same age and the non-stationary property of aging patterns.
• In this paper, we propose Deep Regression Forests (DRFs), an end-to-end model, for age estimation.