Presentation description

This research project aims to optimize the ground truth of hand pose reconstructions created using motion capture. The goal is to find a hand model with phalanxes and markers of optimal geometry and optimal joint angles that best fit marker coordinates given by motion capture. This can be used to more accurately represent hand poses when using motion capture for hand reconstruction in applications such as robotic hands or virtual reality.