A Statistical Shape and Texture- based Technique for Recognizing Facial Emotions

Anukriti Dureha7CSE2A2305210153

Project Objective

To be able to recognize one of the seven universal emotions from a facial image based on different facial features.

Neutral

Joy

Sadness

Surprise

Fear

Anger

Disgust

Seven Universal Expressions

Project Methodology

Labeling

Landmark Features

Eye Brows

Nose

LipsChin

Eyes

No. of training images 70

Total no. of landmark points

72

Face profile Frontal Faces

Datasets used Extended Cohn- Kanade

Example of a hand–labeled

image

Shape Modeling

Shape Alignment

A self-Written Module

Principle Component Analysis

A self-Written Module

Model Fitting-ASM Search

• Initialize shape parameters to zero.•Generate the model point positions.• Find pose parameters using

procrustes analysis • Projection of target image points

into model frame•Update shape parameters.• Iterate until convergence.

Results-Alignment of Shapes

Original Set of Images

Aligned Set of

Images

Results-Mean Models

Joy

AngryFear

Surprise Sad

Neutral

THANK YOU!