Breaking Up the Face into Elements

Posted to Statistics  |  Nathan Yau

I’m not even going to pretend I know anything about how Statistics and vision go together. That’s not to say that they don’t go together, because they do. Otherwise there wouldn’t be a whole center at UCLA, the Center for Image and Vision Science, a group of statisticians, computer scientists, and psychologists. Lots of modeling involved, lots of data, and lots of applications from security to medical imaging to assisting the visually impaired.

Nathan as a BabyWith that being said, I came across Face of the Future, which was setup by a computer science group at the University of St. Andrews. They have a face transformer, averager, morpher, and detection. You can upload your own images for the transformer and averager. (The averager wasn’t working when I tried it.) The transformer will do some image processing on your face, and from there you can see what you might look like as a baby, teenager, old adult, and different races. Fun stuff. I would show all the pictures from my little experiment, but they’re kind of creepy.

Nathan as a Simpsons CharacterOn a somewhat related note: have you ever wondered what you look like as a Simpsons character? Well now you can see for yourself. Burger King and The Simpsons have joined forces to provide you with the Simpsonizer. Undoubtedly, there’s some image processing and statistics flowing around in that black box. My Simpsons character actually looks quite a bit like me.


Divorce Rates for Different Groups

We know when people usually get married. We know who never marries. Finally, it’s time to look at the other side: divorce and remarriage.

Unemployment in America, Mapped Over Time

Watch the regional changes across the country from 1990 to 2016.

Who is Older and Younger than You

Here’s a chart to show you how long you have until you start to feel your age.

Think Like a Statistician – Without the Math

I call myself a statistician, because, well, I’m a statistics graduate student. However, the most important things I’ve learned are less formal, but have proven extremely useful when working/playing with data.