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Here are the technical details: Eigenfaces analysis is a statistical face recognition technique. It uses Principal Component Analysis to calculate a set of Eigenvectors, or Eigenfaces. These Eigenfaces can be thought of as 'face ingredients'. To calibrate the model, we calculated 60 Eigenfaces on a training set of over one thousand faces. Whenever an image is uploaded, it is subjected to a subspace projection that reconstitutes it as a linear combination of these Eigenfaces. Normally at this point, a face recognition algorithm would look for the closest match in this 60-dimensional Eigenface space. However the anti-face calculation is not a face recognition algorithm. Instead, it creates a face opposite to yours, rather than finding a face similar to yours. It does this by multiplying each eigen value by -1.
Adelheid Mers and Robert Woodley
Chicago, 2013 and 2014
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Downloads: 8 | ||||
Updated At: 2024-04-23 10:42:25 | ||||
Publisher: Robert Woodley | ||||
Operating System: Android | ||||
License Type: Free |