Computer Vision in Max/ MSP/ Jitter using jit.cv with Adam Rokhsar :: March 7, 2010; 12:00 - 6:00 pm :: Harvestworks.

Computer Vision gives any camera you attach to your computer a more human-like intelligence. From finding faces to tracking motion, recognizing objects to detecting patterns in movements, computer vision algorithms have powerful applications in art, science, and industry. Max/ MSP/ Jitter allows people to use computer vision thanks to the development of the library cv.jit, which is a free collection of computer vision algorithms ready to be used in Jitter.

This class will provide a thorough introduction to the cv.jit library, with the goal of allowing students to incorporate computer vision algorithms seamlessly into their art. We will explore mapping motion to sound, object tracking, and basic machine learning tasks. Students will be able to use computer vision in projects for live performance, installations, and as fixed media pieces.

Adam Rokhsar is a multimedia artist with degrees in psychology from Cornell University and the University of Pennsylvania. He is a member of the Music Information Retrieval Laboratory, the head coordinator of the Music Technology student interest groups. While earning a Master’s degree in Music Technology from New York University, Adam designs sound for interactive installations, teaches computer music and video programming, and is working on a Master’s thesis on machine learning algorithms. His sound design work can currently be seen in the United States Holocaust Memorial Museum and the Chicago Museum of Science and Industry, and his video work was displayed in the Jakopic Gallery as part of multimedia project Senza Televisione.

For more information, check out the class website and sign up here.

If you have questions call Hans Tammen at 212-431-1130 ext 2. Membership is $75/yr, and you can pay for the membership when you sign up for the class.