Misrak Seifu, Wesna Lalanne Mentor: Mahdi M. Kalayeh Week 7 Report Misrak Seifu, Wesna Lalanne Mentor: Mahdi M. Kalayeh

Overview of week 7 Annotating 25K images Feature extraction Hog Lbp Gabor Beginning the face alignment Training attribute detectors Testing detectors on a subset of data

Feature Extractions Hog Lbp Gabor Local features Holistic feature

Chehra Face Alignment Detects 66 facial landmark points Uses ipar-CLR method to continuously update the generic model. Ipar-CLR: incrementally adding new training samples and updating the cascade of regression functions.

Train attribute Detector Features extracted only from faces No alignment were used Binary attribute detector were trained ~4K training images

Results of attribute detectors Tested on a subset of data (~8K images) Attribute Accuracy Female 86.61% Male 78.20% Teenager 14.74% Youth 73.86% Middle age 66.67% White 61.18% Black 77.27% Asian 39.37% Other 15.38% Oval 64.67% Round 37.88% Heart 16.24% Smiling 62.89% Mouth open 41.18% Eyeglasses on 68.93% Sunglasses on 87.71% Lipstick on 32.22% Duck face 36.19% Phone shown 47.80% Using mirror 48.41%

Plan for week 8 Aligning detected faces Feature extraction from aligned faces Feature extraction from non-face parts of image Extracting local features from facial landmarks Train attribute detector