Abstract:
The objective of the project “IMPLEMENTATION OF VIEWING ANGLES FOR FACE
RECOGNITION IN CONSTRAINT ENVIRONMENT” is to implement face recognition
algorithms on the images stored within database.
The images used in this project have been acquired from the standard “AT&T face database”.
This database is an open source database, which stores grey scale pictures of some subjects
from different viewing angles. The database, stores images of forty subjects (humans), each
clicked from ten different viewing angles.
The project implements PCA (Principal Components Analysis) using Eigen Faces and K Nearest Neighbour Algorithm
Principal Components Analysis reduces dimensionality of complex training set and
Eigen analysis to convert the data sets into Eigen vectors. The face vectors then normalized,
and Eigen face vectors are calculated.
uses
The sections of this report further elaborate the algorithms and techniques deployed in this
project.
