Project 10 Facial Emotion Recognition Based On Mouth Analysis
Facial emotion recognition
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Transcript of Facial emotion recognition
Facial Emotion RecognitionUsing Active Shape Models
Anukriti Dureha7CSE2A2305210153
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
Shape Modeling
Shape Alignment
Principle Component Analysis
Model-Fitting
Emotion Classification
Start
Input: Model representation Read Mean
Models
Calculate Euclidean Distance between Mean
& Model- Rep
Stop
Output: Emotion
Parameters for Shape Modeling
Set of Images Used
Training Set
Testing Set
Results-Alignment of Shapes
Original Set of Images
Aligned Set of
Images
Results-Mean Models
Neutral Joy Surprise
Sad Anger
Results-Emotion Recognition
Confusion Matrix
Future Implications
Incorporating Texture Models
Use of Better Classification Techniques.
THANK YOU!