Laplacian Vision: Augmenting Motion Prediction via Optical See-Through Head-Mounted Displays

Na¨ıve physics [7], or folk physics, is our ability to understand physical phenomena. We regularly use this ability in life to avoid collisions in traffic, follow a tennis ball and time the return shot, or while working in dynamic industrial settings. Though this skill improves with practice, it is still imperfect, which leads to mistakes and misjudgments for time intensive tasks. People still often miss a tennis shot, which might cause them to lose the match, or fail to avoid a car or pedestrian, which can lead to injury or even death. As a step towards reducing these errors in human judgement, we present Laplacian Vision (LV), a vision augmentation system which assists the human ability to predict future trajectory information. By tracking real world objects and estimating their trajectories, we can improve a users’s prediction of the landing spot of a ball or the path of an oncoming car. We have designed a system that can track a flying ball in real time, predict its future tr...

• Type: Journal
• Year: 2016
• Where: AUGHUMAN
• Authors: Yuta Itoh, Jason Orlosky, Kiyoshi Kiyokawa, Gudrun Klinker
• Keywords: AUGHUMAN 2016, Augmented Reality