The course is interested in computer-vision as a means of exploring new architectural geometries by implementing the work with the aid of computational techniques. We would use affordable 3D motion capture devices, alongside creative coding software, to both capture & generate geometries in real-time. This term students would use both the X-Box’s Kinect Sensor & Leap Motion Controller to track highly accurate ‘live’ data of the human body -- ranging from each limb (Kinect’s +- 1mm accuracy) to each fingertip (Leap Motion’s +- 1/100th mm accuracy). Processing, as the main programming platform, with its rich algorithmic & graphical capabilities is used here to allow direct application to students’ ongoing unit projects. These extracted motion & gestural data would be further translated as robust geometries implementable in other CAD packages (e.g. Rhino, Maya…etc). A recorded video of the algorithmic process & a series of geometrical output illustrating provocative spatial/geometrical potentials will serve as the final documented submission. All controllers & sensors would be provided during the entire course.
Scanned Space
Immanuel Koh
Intermediate - Autumn 2013
Isotta Cornacchia Biasion & Daria Igorevna Gavrilova
Alessandro Magliani
Alessandro Magliani
Krists Ernstsons & Jing Liang
Krists Ernstsons & Jing Liang
William Wong
William Wong
Yibin Shen & Hye Rim Lee
