Olivier Mercier

Research Scientist - Display Systems Research
Facebook Reality Labs

oli.mercier@gmail.com
Fast Gaze-Contingent Optimal Decompositions for Multifocal Displays
SIGGRAPH Asia 2017 (ACM TOG)
Olivier Mercier
Université de Montréal
Yusufu Sulai
Oculus Research
Kevin Mackenzie
Oculus Research
Marina Zannoli
Oculus Research
James Hillis
Oculus Research
Derek Nowrouzezahrai
McGill University
Douglas Lanman
Oculus Research
Abstract
We present an efficient algorithm for optimal scene decompositions on multifocal displays, incorporating insights from vision science. Our method is amenable to GPU implementations and achieves a three-orders-of-magnitude speedup over previous work. We further show that eye tracking can be used for adequate plane alignment with efficient image-based deformations, adjusting for both eye rotation and head movement relative to the display. We also build the first binocular multifocal testbed with integrated eye tracking and accommodation measurement, paving the way to establish practical eye tracking and rendering requirements for this promising class of display. Finally, we report preliminary results from a pilot user study utilizing our testbed, investigating the accommodation response of users to dynamic stimuli presented under optimal decomposition.
Media
Bibtex
@article{mercier2017fast,
  title={Fast gaze-contingent optimal decompositions for multifocal displays},
  author={Mercier, Olivier and Sulai, Yusufu and Mackenzie, Kevin and Zannoli, Marina and Hillis, James and Nowrouzezahrai, Derek and Lanman, Douglas},
  journal={ACM Transactions on Graphics (TOG)},
  volume={36},
  number={6},
  pages={237},
  year={2017},
  publisher={ACM}
}