Large high-quality datasets of human body shape and kinematics lay the foundation for modelling and simulation approaches in computer vision, computer graphics, and biomechanics. Creating datasets that combine naturalistic recordings with high-accuracy data about ground truth body shape and pose is challenging because different motion recording systems are either optimized for one or the other. […]
Tag Archives: Lassonde School of Engineering
Auto-Labelling of Markers in Optical Motion Capture
Saeed Ghorbani is an EECS PhD student in the BioMotionLab directed by VISTA Core Researcher Niko Troje and hosted by the Department of Biology. His current project involves the development of new software to automatically label body position and motion in 3D space. Improvements to 'Marker Labelling' like this will save time and money for industries […]
Video - James Elder & Artificial Intelligence
We often forget how complex human vision is... and that poses plenty of challenges for those trying to teach machines how to "see". “One thing that’s really exciting about studying vision is that it is so powerful that we don’t actually think about it from day to day. We just use it. It’s only when […]
