Clip Space Sample Culling for Stochastic Rasterization
碩士 === 國立交通大學 === 多媒體工程研究所 === 101 === To render realistic camera images, two effects are common : motion blur and defocus blur. We present a novel clip space culling test of stochastic rasterization of motion and defocus blur. This 2-stage test use the clip space information to reduce the samples n...
Main Authors: | , |
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Other Authors: | |
Format: | Others |
Language: | en_US |
Published: |
2013
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Online Access: | http://ndltd.ncl.edu.tw/handle/02164102420086016468 |