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...

Full description

Bibliographic Details
Main Authors: Wu, Yi-Jeng, 吳怡正
Other Authors: Shih, Zen-Chung
Format: Others
Language:en_US
Published: 2013
Online Access:http://ndltd.ncl.edu.tw/handle/02164102420086016468