Depth buffer compression for stochastic motion blur rasterization
Författare
Redaktör
- Carsten Dachsbacher
- William Mark
- Jacopo Pantaleoni
Summary, in English
Previous depth buffer compression schemes are tuned for compressing depths values generated when rasterizing static triangles. They provide generous bandwidth usage savings, and are of great importance to graphics processors. However, stochastic rasterization for motion blur and depth of field is becoming a reality even for real-time graphics, and previous depth buffer compression algorithms fail to compress such buffers due to the irregularity of the positions and depths of the rendered samples. Therefore, we present a new algorithm that targets compression of scenes rendered with stochastic motion blur rasterization. If possible, our algorithm fits a single time-dependent predictor function for all the samples in a tile. However, sometimes the depths are localized in more than one layer, and we therefore apply a clustering algorithm to split the tile of samples into two layers. One time-dependent predictor function is then created per layer. The residuals between the predictor and the actual depths are then stored as delta corrections. For scenes with moderate motion, our algorithm can compress down to 65% compared to 75% for the previously best algorithm for stochastic buffers.
Avdelning/ar
Publiceringsår
2011
Språk
Engelska
Sidor
127-134
Publikation/Tidskrift/Serie
[Host publication title missing]
Länkar
Dokumenttyp
Konferensbidrag
Förlag
Eurographics - European Association for Computer Graphics
Ämne
- Computer Science
Conference name
High Performance Graphics, 2011
Conference date
2011-08-05 - 2011-08-07
Conference place
Vancouver, Canada
Status
Published
Forskningsgrupp
- Computer Graphics