17-05-2013, 04:11 PM
FACE RECONGNITION USING NEURAL NETWORKS
FACE RECONGNITION.ppt (Size: 2.51 MB / Downloads: 29)
What are Neural Network?
A Neural Network is a system of programs and data structures that approximates the operation of the human brain.
A neural network usually involves a large number of processors operating in parallel, each with its own small sphere of knowledge and access to data in its local memory.
Typically, a neural network is initially "trained" or fed large amounts of data and rules about data relationships (for example, "A grandfather is older than a person's father").
A program can then tell the network how to behave in response to an external stimulus or can initiate activity on its own.
Neural Network Architecture
Single layer feed forward network.
Multilayer Feedforward Network
Back-Propagation
Self Organizing Map(Unsupervised Learning)
Recurrent Network
Disadvantages of PCA
Problems with Eigenfaces (PCA)
Different illumination
Different alignment
Different facial expression
Steps For Face Recognition Using LDA-NN
Assumptions
Square images with W=H=N
M is the number of images in the database
P is the number of persons in the database
PROJECT OBJECTIVE
To implement the concept of Neural Networks for the purpose of Face Recognition.
Further Recognition of unclear images by removing the background noise.
To improve the accuracy of Face recognition by reducing the number of false rejection and false acceptance errors.
To use Face Thermogram that is output of an infrared camera to detect the faces in dark environments.
Recognition of images captured while in motion.
Recognition of faces in videos (motion picture).
FACE RECONGNITION.ppt (Size: 2.51 MB / Downloads: 29)
What are Neural Network?
A Neural Network is a system of programs and data structures that approximates the operation of the human brain.
A neural network usually involves a large number of processors operating in parallel, each with its own small sphere of knowledge and access to data in its local memory.
Typically, a neural network is initially "trained" or fed large amounts of data and rules about data relationships (for example, "A grandfather is older than a person's father").
A program can then tell the network how to behave in response to an external stimulus or can initiate activity on its own.
Neural Network Architecture
Single layer feed forward network.
Multilayer Feedforward Network
Back-Propagation
Self Organizing Map(Unsupervised Learning)
Recurrent Network
Disadvantages of PCA
Problems with Eigenfaces (PCA)
Different illumination
Different alignment
Different facial expression
Steps For Face Recognition Using LDA-NN
Assumptions
Square images with W=H=N
M is the number of images in the database
P is the number of persons in the database
PROJECT OBJECTIVE
To implement the concept of Neural Networks for the purpose of Face Recognition.
Further Recognition of unclear images by removing the background noise.
To improve the accuracy of Face recognition by reducing the number of false rejection and false acceptance errors.
To use Face Thermogram that is output of an infrared camera to detect the faces in dark environments.
Recognition of images captured while in motion.
Recognition of faces in videos (motion picture).