December 2014 Archives

If The Photo Fits...

In the last post I describe how we might apply principal component analysis to facial images to create the rather spooky looking eigenfaces that capture the most significant differences between them and their somewhat suprisingly attractive averages.

We got as far as implementing helper functions to load bitmaps into ImageData objects and convert them to intensity matrices, deferring the implementation of the algorithm to actually generate eigenfaces, and a supposed application using them, to this post.

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Who Are You Calling Average?

The Victorians, for all of their advances in science and engineering, had some pretty peculiar beliefs, one of which was phrenology; the notion that you could accurately determine a person's psychological makeup from the shape of their skull. That this is utterly misguided may seem obvious these days, but keep in mind that we've had over a century in which to figure that out.
That said, this obsession with correlating physiological features with psychological ones did result in a rather interesting observation...

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