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I am looking for someone who can help me with designing a face recognition code in Matlab.
Implement PCA for face recognition (eigenfaces) as described by [Turk and Pentland, 1991].
I. With the provided images, randomly split data intro training (7 images/person) and test (3 images/person) sets using "crossval" function in Matlab then find the mean face image.
II. Perform PCA on the training faces and extract top k components. Use the "princomp" function for this.
III. Third step, compute its K-dimensional projection of the test images into the face space.
IV. Lastly, for each test image, find the training image that is the "closest" (in the sense of Euclidean distance) to test images in the face space, and assign the label (person index) of the training image to the test image.
I can provide the images, hints and some codes that would help in starting and understanding what I want.