Computer graphics processing and selective visual display system – Computer graphics processing – Three-dimension
Reexamination Certificate
2007-08-03
2011-10-25
Hajnik, Daniel (Department: 2628)
Computer graphics processing and selective visual display system
Computer graphics processing
Three-dimension
C345S611000, C345S613000, C345S614000
Reexamination Certificate
active
08044956
ABSTRACT:
One embodiment of the present invention sets forth a technique for improving antialiasing quality, while minimizing performance degradation, by adaptively selecting between multisampling and supersampling on a per pixel basis. The resulting performance may be generally comparable to multisampling. At the same time, however, the resulting quality may be generally comparable to supersampling. The antialiasing technique disclosed herein determines whether to use multisampling or supersampling on a particular pixel being rendered, based on the specific coverage of the associated geometry primitive. Because many pixel centers are covered by a geometry primitive, a statistical performance advantage is gained when pixels in a rendered image can be generating using multisampling rather than supersampling. The cases where pixel centers are not covered tend to be less frequent, but are very significant to image quality. High image quality is maintained by rendering these cases using supersampling.
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Wai-Sum Lin , Rynson W. H. Lau , Kai Hwang , Xiaola Lin , Paul Y. S. Cheung, Adaptive Parallel Rendering on Multiprocessors and Workstation Clusters, IEEE Transactions on Parallel and Distributed Systems, v.12 n.3, p. 241-258, Mar. 2001.
Hajnik Daniel
NVIDIA Corporation
Patterson & Sheridan LLP
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