1. CV Dazzle, a project by Adam Harvey, creates camouflage from computer vision. It uses makeup and hair styling to disrupt face-detection technologies. “The goal of CV Dazzle is to break apart the gestalt of a face, or object, and make it undetectable to computer vision algorithms, in particular face detection.”
http://vimeo.com/34631229
2. People Staring at Computers, Kyle McDonald. Interventions staged at Apple stores in NYC, McDonald installed apps onto the computers and it would take a picture each minute & upload it. The photos then were exhibited on every computer on site.
3. Auto Smiley, by Theo Watson, uses Open FrameWorks and MPI Search for smile detection. The software analyzes your face through the webcam and if it detects you smiling it sends the the ascii smiley face letters as keyboard presses to the front most application.
4. Faces, by Arturo Castro, is real-time face substitution. The program transposes features from one face onto another
5. Sound-Affects, by Jack Kalish, interprets the facial expressions of the user to create soundscapes.