How do you reconstruct a test image from eigenfaces generated from Matlab pca function
54 views (last 30 days)
Show older comments
Iktech on 11 Aug 2017
Hi All, I have been trying to reconstruct a test image from the eigenvectors generated from the pca function, however the reconstructed image is different from the test image (see figure). The test image is simply one of the images used in the training set. I also tried obtaining the eigenvectors using the cov and eig functions but I still end up with the same problem. I need to use the pca function and will appreciate any help on how to obtain the eigenvectors from its output.
Find the code below. I have also attached a zip file containing the matlab code and images I used. Thanks in anticipation.
M = 10; % number of images
im = imread(strcat(num2str(n),'.jpg')); %read image
im = im2double(rgb2gray(im)); % convert image to gray scale and then to double precision
[r,c] = size(im); % get number of rows and columns in image
I(:,n) = im(:); % convert image to vector and store as column in matrix I
% calculate mean image
I_mean = mean(I,2);
% subtract mean image from the set of images
I_shifted = I-repmat(I_mean,1,M);
%perform PCA. Matrix I was used as input instead of I_shifted because Matlab documentation states that pca function centers the data
[coeff,score,latent,~,explained,mu] = pca(I);
eigFaces = I_shifted*coeff;
% put eigenface in array and display
ef = ;
for n = 1:M
temp = reshape(eigFaces(:,n),r,c);
temp = histeq(temp,255);
ef = [ef temp];
% load one of the training images to test reconstruction
im = im2double(rgb2gray(imread('1.jpg'))); % convert to gray and then to double
I_test = im(:); % convert image to vector
I_test = I_test-I_mean; % subtract mean images
%calculate weights of test image
I_test_weights = zeros(M,1);
for jj = 1:M
I_test_weights(jj,1) = dot(I_test,eigFaces(:,jj));
% reconstruct test image
I_recon = I_mean + eigFaces*I_test_weights;
%reshape reconstructed test image
I_recon = reshape(I_recon, r,c);
%display original and reconstructed test image
title('Original test image');
title('Reconstructed test image');
Edited: Ala Harb on 3 Feb 2022
You need to convert "I_recon" from "double" to "unit8" .. You can use "mat2gray()" function, which will scale your image values to the range (0-255).
Try out this line before displaying the reconstructed test image !
I_recon = uint8(255 * mat2gray(I_recon));
Faiz Gouri on 17 Aug 2017
See this Wikipedia page for finding the eignevalues and vectors from the covariance matrix
Also, check out the blog here that perform image reconstruction using pca which uses the steps and formula used from the above link.
There is one MATLAB file exchange program too that recognizes a face from a database of human faces using PCA. You can find the link here
More Answers (2)
William MacTurk on 10 Dec 2018
I'm working on an assignment for using pca/eigenfaces to reconstruct images, and I have it working. It can reconstruct both test and train images. I recognize the problem with your image - it took me a while to figure it out. In my case, what did the trick was just converting the image array to uint8 type (instead of double) before displaying the image. My input images were all .pgm format, though, so they were read in as uint8 arrays - not sure if that's also the case in your implementation. Anyway, give it a shot, hopefully it can help. Just add the lines
I_recon = uint8(I_recon);
im = uint8(im);
right before your first figure command.
ABHILASH SINGH on 8 Nov 2019
You can use this MATLAB GUI for the recontruction of the image (both for colour and grayscale images)
Find more on Dimensionality Reduction and Feature Extraction in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!Start Hunting!