@article{WeierRothHinkenjannetal.2018,
  author    = {Martin Weier and Thorsten Roth and Andr{\´e} Hinkenjann and Philipp Slusallek},
  title     = {Foveated Depth-of-Field Filtering in Head-Mounted Displays},
  series   = {ACM Transactions on Applied Perception},
  volume    = {15},
  number    = {4},
  publisher = {Association for Computing Machinery},
  issn      = {1544-3558},
  doi       = {10.1145/3238301},
  year      = {2018},
  abstract  = {In recent years, a variety of methods have been introduced to exploit the decrease in visual acuity of peripheral vision, known as foveated rendering. As more and more computationally involved shading is requested and display resolutions increase, maintaining low latencies is challenging when rendering in a virtual reality context. Here, foveated rendering is a promising approach for reducing the number of shaded samples. However, besides the reduction of the visual acuity, the eye is an optical system, filtering radiance through lenses. The lenses create depth-of-field (DoF) effects when accommodated to objects at varying distances. The central idea of this article is to exploit these effects as a filtering method to conceal rendering artifacts. To showcase the potential of such filters, we present a foveated rendering system, tightly integrated with a gaze-contingent DoF filter. Besides presenting benchmarks of the DoF and rendering pipeline, we carried out a perceptual study, showing that rendering quality is rated almost on par with full rendering when using DoF in our foveated mode, while shaded samples are reduced by more than 69\%.},
  language  = {en}
}