Face Recognition using Eigenfaces

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.

Skills: Algorithm, Engineering, Face Recognition, Matlab and Mathematica

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About the Employer:
( 1 review ) East Bernstadt, Australia

Project ID: #1247628

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Hi I can do this for you.

$100 USD in 1 day
(2 Reviews)

6 freelancers are bidding on average $70 for this job


I have done the same thing in one of my project i.e. Recognition using eigenfaces.

$70 USD in 20 days
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Allow me start it ; and u will not be disappointed.

$70 USD in 14 days
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hi i have lots of experience using this particular algorithm and i can help u implement it..... :) looking forward to working together :)

$30 USD in 2 days
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Hi, I am doing PhD in Computer Science, and I have 5 years experience in MATLAB programming. Previously i have done many projects in Face recognition. Let me help in your project.

$50 USD in 1 day
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i have already developed this MATLAB code for Face recognization using PCA method. And it is properly working.

$100 USD in 1 day
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