Facial Emotion Recognition

Using Active Shape Models

Anukriti Dureha

7CSE2

A2305210153

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

Project Methodology

Labeling

Landmark Features

Eye Brows

Nose

LipsChin

Eyes

Reference

Model for

Labeling

Landmark

points

Eg. of a

Hand-

Labeled

Image

Feature Selection for Neutral

Feature Selection for Joy

Feature Selection for Sad

Feature Selection for Surprise

Feature Selection for Anger

Mean Models

Classification

Results-Emotion Recognition

Confusion

Matrix

Future Implications

Incorporating Texture Models

Use of Better Classification Techniques.

Making use of ‘Semi-Supervised Learning’

Real Time Application