Computer Graphics
TU Braunschweig

Adaptively layered statistical volumetric obscurance

Adaptively layered statistical volumetric obscurance

We accelerate volumetric obscurance, a variant of ambient occlusion, and solve undersampling artifacts, such as banding, noise or blurring, that screen-space techniques traditionally suffer from. We make use of an efficient statistical model to evaluate the occlusion factor in screen-space using a single sample. Overestimations and halos are reduced by an adaptive layering of the visible geometry. Bias at tilted surfaces is avoided by projecting and evaluating the volumetric obscurance in tangent space of each surface point. We compare our approach to several traditional screen-space ambient obscurance techniques and show its competitive qualitative and quantitative performance. Our algorithm maps well to graphics hardware, does not require the traditional bilateral blur step of previous approaches, and avoids typical screen-space related artifacts such as temporal instability due to undersampling.

Author(s):Quintijn Hendrickx, Leonardo Scandolo, Martin Eisemann, Elmar Eisemann
Published:August 2015
Type:Article in conference proceedings
Book:Proc. High Performance Graphics (HPG)
Presented at:High Performance Graphics (HPG) 2015

  title = {Adaptively layered statistical volumetric obscurance},
  author = {Hendrickx, Quintijn and Scandolo, Leonardo and Eisemann, Martin and Eisemann, Elmar},
  booktitle = {Proc. High Performance Graphics ({HPG})},
  doi = {10.1145/2790060.2790070},
  month = {Aug},
  year = {2015}


  • Quintijn Hendrickx

  • Leonardo Scandolo

  • Elmar Eisemann