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

2. 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

3. Feature Extractions
Hog
Lbp
Gabor
Local features
Holistic feature

4. 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.

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

6. 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%

7. 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