Computer graphics processing and selective visual display system – Computer graphics processing – Adjusting level of detail
Reexamination Certificate
2008-01-29
2008-01-29
Zimmerman, Mark (Department: 2628)
Computer graphics processing and selective visual display system
Computer graphics processing
Adjusting level of detail
C345S587000
Reexamination Certificate
active
07324107
ABSTRACT:
A method of performing anisotropic texture mip-mapping. The method includes determining a region of support for a set of target pixels of the image to be textured, and mapping the region of support to an area in texture map that is generally elliptical. For each axis of the ellipse the number of samples is determined and a filter function is performed on those samples to find the final color value. For four texels, the filter function is a weighted sum of the color values of each texel, where the weights are determined based on the fraction of the Level of Detail (LOD) and the fraction of the U or V coordinate.
REFERENCES:
patent: 5740344 (1998-04-01), Lin et al.
patent: 6184894 (2001-02-01), Rosman et al.
patent: 6292193 (2001-09-01), Perry et al.
patent: 6353438 (2002-03-01), Van Hook et al.
patent: 2001/0048443 (2001-12-01), Burrell
patent: 2002/0126133 (2002-09-01), Ewins
patent: 2004/0119720 (2004-06-01), Spangler
patent: 2005/0128213 (2005-06-01), Barenbrug et al.
Ewins, Jon “Mip-Map Level selection for Texture Mapping”. Oct.-Dec. 1998, vol. 4, p. 317-329.
Hong Zhou (Mike)
Liao Qun Feng (Fred)
Thomas Kayden Horstemeyer & Risley
VIA Technologies Inc.
Xu Kevin
Zimmerman Mark
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