“Computer Vision” refers to a broad collection of techniques that allow computers to make intelligent assertions about what’s going on in digital images and video. Sometimes this means understanding the difference
between an image of someone smiling and frowning, or something as low level as whether there is motion in front of a camera. Participants will be introduced to a brief history of computer vision and its relationship to media arts, but most of the time will be spent learning how to work with computer vision addons for 3 openFrameworks: ofxCv for direct access to OpenCV, ofxKinect and ofxOpenNI for skeleton and depth sensing, and ofxFaceTracker for understanding faces. Both computer vision classes will cover similar material with different toolkits, and students are welcome to take one or both. Before taking this class, students should have installed openFrameworks, compiled examples, and written some C++

Kyle McDonald