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Fast Face Detection with Precise Pose Estimation
Presented by Mohamed Aly and Jonathan Lee
EE148 June 1, 2006
Algorithm
Pose discretization (x, y, scale, tilt)
Course to fine tests Edge/flat detectors Pose estimation
Algorithm
Sample result [Fleuret and Geman]:
Training
Iterative Zero false positives
Training
Generate images
…ORL database, normalized
Detection
32x32 and 64x64 windows
32x32
Detection
Search tree for each 8x8 block
…
Detection
Aggregate poses
Results
Reported (C++) 92% detection 50% false alarms 0.48s runtime
Experimental (Matlab) ~70% detection 50% false alarms 1-10 minute runtime
Results
0 0.2 0.4 0.6 0.8 10
0.1
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0.3
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0.5
0.6
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1
false alarm rate
dete
ctio
n ra
teROC curve
Improvements
Runtime: Matlab vs.C++ Image quality / normalization Better features Aggregation threshold
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