The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jul. 19, 2016

Filed:

Aug. 16, 2013
Applicant:

Nvidia Corporation, Santa Clara, CA (US);

Inventors:

Eric B. Lum, San Jose, CA (US);

Jerome F. Duluk, Jr., Palo Alto, CA (US);

Yury Y. Uralsky, Santa Clara, CA (US);

Rouslan Dimitrov, San Carlos, CA (US);

Rui M. Bastos, Porto Alegre, BR;

Assignee:

NVIDIA CORPORATION, Santa Clara, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 1/20 (2006.01); G06T 1/60 (2006.01); G06T 15/50 (2011.01);
U.S. Cl.
CPC ...
G06T 1/60 (2013.01); G06T 1/20 (2013.01); G06T 15/503 (2013.01);
Abstract

One embodiment sets forth a method for transforming 3-D images into 2-D rendered images using render target sample masks. A software application creates multiple render targets associated with a surface. For each render target, the software application also creates an associated render target sample mask configured to select one or more samples included in each pixel. Within the graphics pipeline, a pixel shader processes each pixel individually and outputs multiple render target-specific color values. For each render target, a ROP unit uses the associated render target sample mask to select covered samples included in the pixel. Subsequently, the ROP unit uses the render target-specific color value to update the selected samples in the render target, thereby achieving sample-level color granularity. Advantageously, by increasing the effective resolution using render target sample masks, the quality of the rendered image is improved without incurring the performance degradation associated with processing each sample individually.


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