Hyperplane Culling for Stochastic Rasterization
(2012) Eurographics 2012 p.105-108- Abstract
- We present two novel culling tests for rasterization of simultaneous depth of field and motion blur. These tests efficiently reduce the set of xyuvt samples that need to be coverage tested within a screen space tile. The first test finds linear bounds in ut - and vt -space using a separating line algorithm. We also derive a hyperplane in xyuvt - space for each triangle edge, and all samples outside of these planes are culled in our second test. Based on these tests, we present an efficient stochastic rasterizer, which has substantially higher sample test efficiency and lower arithmetic cost than previous tile-based stochastic rasterizers.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/2971318
- author
- Munkberg, Jacob LU and Akenine-Möller, Tomas LU
- organization
- publishing date
- 2012
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- Eurographics 2012: Cagliari, Italy - Short Papers
- pages
- 105 - 108
- publisher
- Eurographics - European Association for Computer Graphics
- conference name
- Eurographics 2012
- conference location
- Cagliari, Sardinia, Italy
- conference dates
- 2012-05-13 - 2012-05-18
- ISSN
- 1017-4656
- DOI
- 10.2312/conf/EG2012/short/105-108
- language
- English
- LU publication?
- yes
- id
- 10729d3c-b0a8-42cd-9e0d-d73816399f78 (old id 2971318)
- alternative location
- http://fileadmin.cs.lth.se/graphics/research/papers/2012/rast5d/
- date added to LUP
- 2016-04-01 13:05:12
- date last changed
- 2021-05-05 10:40:02
@inproceedings{10729d3c-b0a8-42cd-9e0d-d73816399f78, abstract = {{We present two novel culling tests for rasterization of simultaneous depth of field and motion blur. These tests efficiently reduce the set of xyuvt samples that need to be coverage tested within a screen space tile. The first test finds linear bounds in ut - and vt -space using a separating line algorithm. We also derive a hyperplane in xyuvt - space for each triangle edge, and all samples outside of these planes are culled in our second test. Based on these tests, we present an efficient stochastic rasterizer, which has substantially higher sample test efficiency and lower arithmetic cost than previous tile-based stochastic rasterizers.}}, author = {{Munkberg, Jacob and Akenine-Möller, Tomas}}, booktitle = {{Eurographics 2012: Cagliari, Italy - Short Papers}}, issn = {{1017-4656}}, language = {{eng}}, pages = {{105--108}}, publisher = {{Eurographics - European Association for Computer Graphics}}, title = {{Hyperplane Culling for Stochastic Rasterization}}, url = {{http://dx.doi.org/10.2312/conf/EG2012/short/105-108}}, doi = {{10.2312/conf/EG2012/short/105-108}}, year = {{2012}}, }