1. Age Classification: Linear Model
By: Morgan Ferguson Garrett Bingham
Catherine Nansalo

2. Introduction to the Data
FGNet-LOPO
82 People
47 men and 35 females
6 to 18 pictures each
1002 images total

3. b-vectors and age b1 - b 109 Shape!
Mesh on image
Positions of model points
Texture comes from pixels
How well does face structure predict age?

4. Linear Model

5. Results Model R^2 Mean Squared Error Age ~ b1 .000002 165.401
Age ~ b1 + b2 + … + b5
0.394
Age ~ b1 + b2 + … + b10
0.490
84.404
Age ~ b1 + b2 + … + b109
0.757
40.221