Description

(1) PCA (2) LDA

QUESTION DESCRIPTIONS

(1) Face recognition using PCA : Create face dataset using your mobile phone for your face as well as faces of your friends.. Create multiple variants (at least 5) of each faces with different view angles.

(1) Face recognition using LDA : Create face dataset using your mobile phone for your face as well as faces of your friends.Create multiple variants (at least 5) of each faces with different view angles

[QUESTION 1]

INTRODUCTION

We have to create a dataset comprising of Images of 16 people taken from different angles. Now given a new Image we have to predict the person of whom the image is taken of using PCA.

RESULTS

The dataset was divided into 80% training and 20% testing.

Accuracy of the transformed testing data using Pricipal Component Analysis: 80.0% => The results can vary because of the random distribution of training and testing data.

CONCEPTS USED

[QUESTION 2]

INTRODUCTION

We have to create a dataset comprising of Images of 16 people taken from different angles. Now given a new Image we have to predict the person of whom the image is taken of using LDA.

RESULTS

The dataset was divided into 80% training and 20% testing.

CONCEPTS USED