Training neural network for facial expression classification

Hi all,

I have 15 images of happy face,15 image of sad face and 15 image of angry faces.

My problem is i do not know how to train neural network using all this images. I have separate 50 images for testing purposes.

So,how do i train neural network using output from PCA of each image?

PLZ do guide me since my supervisor is pressuring me lately..

Answer 1

[Greg Heath]

Use the vectorization operator, : , to convert each processed image to a column vector. The corresponding target vector is a column of eye(3). Once you have the input and target matrices with 45 columns each, use PATTERNNET

help patternnet

doc patternnet

Hope this helps.

Greg

Answer 2

[vaibhav]

Are you doing that using PCA??

[remo]

Hi Vaibhav,

i have dropped PCA and adopted LBP for this project

[pooja rani]

Hi Remo,

can u share code of training NN classifier with LBP features .