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Hyperplane Culling for Stochastic Rasterization

Författare

Summary, in English

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.

Publiceringsår

2012

Språk

Engelska

Sidor

105-108

Publikation/Tidskrift/Serie

Eurographics 2012: Cagliari, Italy - Short Papers

Dokumenttyp

Konferensbidrag

Förlag

Eurographics - European Association for Computer Graphics

Ämne

  • Computer Science

Conference name

Eurographics 2012

Conference date

2012-05-13 - 2012-05-18

Conference place

Cagliari, Sardinia, Italy

Status

Published

Forskningsgrupp

  • Computer Graphics

ISBN/ISSN/Övrigt

  • ISSN: 1017-4656