1. Fast Face Detection with Precise Pose Estimation Presented by Mohamed Aly and Jonathan Lee EE148 June 1, 2006

2. Algorithm Pose discretization  (x, y, scale, tilt) Course to fine tests Edge/flat detectors Pose estimation

3. Algorithm Sample result [Fleuret and Geman]:

4. Training Iterative Zero false positives

5. Training Generate images … ORL database, normalized

6. Detection 32x32 and 64x64 windows 32x32

7. Detection Search tree for each 8x8 block …

8. Detection Aggregate poses

9. Results Reported (C++)  92% detection  50% false alarms  0.48s runtime Experimental (Matlab)  ~70% detection  50% false alarms  1-10 minute runtime

10. Results

11. Improvements Runtime: Matlab vs.C++ Image quality / normalization Better features Aggregation threshold