Detecting and Recognizing Faces
	• Key Difficulty: Variation in Pose • State of the art:  generalized templates – Neural Networks / Deformable Templates / etc. • Templates have difficulty with pose variation… – Rotation, scale, complex deformation • Must reduce the dependence on relative pose. • Approach: Detecting people as a statistical     distribution of multi-scale features