1. Facial Emotion Recognition
Using Active Shape Models
Anukriti Dureha
7CSE2
A2305210153

2. Project Objective
Identify 5 classes of emotions of a given facial image by reconstructing facial
models using Active Shape Modeling (ASM)
Neutral
Joy
Sadness
Surprise
Anger
5 Classes of
Emotions
Six universal
emotions
proposed by
Ekman &
Freisen

3. Project Methodology

4. Labeling
Landmark
Features
Eye
Brows
Nose
LipsChin
Eyes
Reference
Model for
Labeling
Landmark
points
Eg. of a
Hand-
Labeled
Image

5. Feature Selection for Neutral

6. Feature Selection for Joy

7. Feature Selection for Sad

8. Feature Selection for Surprise

9. Feature Selection for Anger

10. Mean Models

11. Classification

12. Results-Emotion Recognition
Confusion
Matrix

13. Future Implications
 Incorporating Texture Models
Use of Better Classification Techniques.
 Making use of ‘Semi-Supervised Learning’
 Real Time Application