Laplacian vision: Augmenting motion prediction via optical see- Through head-mounted displays

Yuta Itoh, Jason Orlosky, Kiyoshi Kiyokawa, Gudrun Klinker

Research output: Chapter in Book/Report/Conference proceedingConference contribution

29 Scopus citations


Nave physics [7], or folk physics, is our ability to understand physical phenomena. We regularly use this ability in life to avoid collisions in trafic, 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 ying ball in real time, predict its future trajectory, and visualize it in the user's field of view. The system is also calibrated to account for end- To-end delays so that the trajectory appears to emanate forward from the moving object. We also conduct a user study where 29 subjects predict an object's landing spot, and show that prediction accuracy improves 3 fold using LV.

Original languageEnglish (US)
Title of host publicationProceedings of the 7th Augmented Human International Conference, AH 2016
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450336802
StatePublished - Feb 25 2016
Externally publishedYes
Event7th Augmented Human International Conference, AH 2016 - Geneva, Switzerland
Duration: Feb 25 2016Feb 27 2016

Publication series

NameACM International Conference Proceeding Series


Conference7th Augmented Human International Conference, AH 2016


  • Augmented reality
  • HMD
  • Prediction
  • Tracking
  • Vision augmentation

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications


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