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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0.6

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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