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Fast Face Detection with Precise Pose Estimation

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.

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Fast Face Detection with Precise Pose Estimation

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  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

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