It was during this point that I stumbled across an openFrameworks add-on that I could use for facial tracking, along with a project that was being used to map on peoples faces over a camera. I eventually gave up on looking for pre-made applications online, as none of it was free and all of it required some elaborate set up. Instead of using the XBOX Kinect, it seemed like just focusing on detailed images from a camera would be my best shot. It was my mistake to assume capturing the motion of an arm or foot would be similar, since facial recognition is in the art of detail. I had done work with capturing body movements before with the XBOX Kinect for another Media Lab project called BodyPaint:
V MAGIC MIRROR FOR FREE
After many hours of researching on the web, and asking companies for free trials of their software, I realized that this mirror might be closer to infeasible than difficult. When I started this project, I figured it would be difficult, but not infeasible. Me being a naive but passionate CS undergrad at MIT, I should have recognized that I was a little in over my head. Especially since when I proposed this idea, I didn’t yet know that facial image recognition and capture would be such a niche field with software that costs up to $10,000. This project was a pretty extreme stretch for me. This work builds upon Kyle McDonald’s ofxFaceTracker and aturo’s FaceSubstituion libraries. The open source github of what I have done can be found at:
This project is inspired by the sassy character in Dreamwork’s Shrek, but any image with a clear picture of a face in it could be used with the facial recognition algorithm I’m using. However I made a massive jump from purely digital art, modeling and animation to a full on software application for live facial recognition. The Magic Mirror is a spin off of my previous work with facial animation from last week.
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