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. Shape Modeling

6. Shape Alignment

7. Principle Component Analysis

8. Model-Fitting

9. Emotion Classification
Start
Input: Model
representation
Read Mean
Models
Calculate Euclidean
Distance between Mean
& Model- Rep
Stop
Output:
Emotion

10. Parameters for Shape Modeling

11. Set of Images Used
Training
Set
Testing
Set

12. Results-Alignment of Shapes
Original Set of
Images
Aligned
Set of
Images

13. Results-Mean Models

14. Results-Emotion Recognition
Confusion
Matrix

15. Future Implications
 Incorporating Texture Models
Use of Better Classification Techniques.