AdaBoost for feature+classifier selection

• Want to select the single rectangle feature and threshold that best separates positive (faces) and negative (non- faces) training examples, in terms of weighted error.

Resulting weak classifier:

Outputs of a possible rectangle feature on faces and non-faces.

Viola & Jones, CVPR 2001

K. Grauman, B. Leibe