CEE student gauges materials’ physical properties from video
In June 2015, at the Conference on Computer Vision and Pattern Recognition, a group of researchers will present a technique that infers material properties of physical objects, such as stiffness and weight, from video. CEE graduate student Justin Chen, co-author of the paper, worked with the team to develop the theoretical basis for the work in vibrational analysis of objects, The idea, he said, is a computer vision based system for identifying the material properties of objects given fixed geometries and boundary conditions. A camera is used to extract vibrational signatures of the objects, from which the frequency response spectrums are used to identify material properties. To read more, please see here.