facial emotion recognition corporatemeet
Post on 04-Jul-2015
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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
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