Stochastic-Depth Ambient Occlusion

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Abstract

Ambient occlusion (AO) is a popular rendering technique that enhances depth perception and realism by darkening locations that are less exposed to ambient light (e.g., corners and creases). In real-time applications, screen-space variants, relying on the depth buffer, are used due to their high performance and good visual quality. However, these only take visible surfaces into account, resulting in inconsistencies, especially during motion. Stochastic-Depth Ambient Occlusion is a novel AO algorithm that accounts for occluded geometry by relying on a stochastic depth map, capturing multiple scene layers per pixel at random. Hereby, we efficiently gather missing information in order to improve upon the accuracy and spatial stability of conventional screen-space approximations, while maintaining real-time performance. Our approach integrates well into existing rendering pipelines and improves the robustness of many different AO techniques, including multi-view solutions.
Original languageEnglish
Article number3
Pages (from-to)3:1 - 3:15
Number of pages15
JournalProceedings of the ACM on Computer Graphics and Interactive Techniques
Volume4
Issue number1
DOIs
Publication statusPublished - 2021
EventACM SIGGRAPH Symposium on Interactive 3D Graphics and Games - Online
Duration: 20 Apr 201922 Apr 2021
Conference number: 35th
https://i3dsymposium.github.io/2021/index.html

Keywords

  • Ambient occlusion
  • Real-time rendering
  • Screen-space techniques

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