Computer graphics processing and selective visual display system – Computer graphics processing – Attributes
Reexamination Certificate
2004-08-04
2008-11-04
Tung, Kee M. (Department: 2628)
Computer graphics processing and selective visual display system
Computer graphics processing
Attributes
C345S473000
Reexamination Certificate
active
07446780
ABSTRACT:
Multisampling techniques provide temporal as well as spatial antialiasing. Coverage for a primitive is be determined at multiple sample locations for a pixel. In one embodiment, coverage is determined using boundary equations representing a boundary surface of the primitive in a three-dimensional space-time. A shading value for the primitive is computed for the pixel and stored for each coverage sample location of the pixel that is covered by the primitive. The sample locations are distributed in both space and time, and multiple sample locations share a single shading computation. The multisampling techniques are extendable to other dimensions that correspond to other image attributes.
REFERENCES:
patent: 6448970 (2002-09-01), Kajioka et al.
patent: 6501483 (2002-12-01), Wong et al.
patent: 6525725 (2003-02-01), Deering
patent: 6654020 (2003-11-01), Mori
patent: 6919895 (2005-07-01), Solanki et al.
Haeberli, Paul et al. “The Accumulation Buffer: Hardware Support for High-Quality Rendering” Computer Graphics, vol. 24, No. 4, Silicon Graphics Computer Systems Aug. 1990.
Salvator, Dave “ExtremeTech 3D Pipeline Tutorial” Jun. 13, 2001.
Bastos Rui M.
Everitt Cass W.
NVIDIA Corporation
Townsend and Townsend / and Crew LLP
Tung Kee M.
Xu Kevin K
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