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:
Feb. 28, 2023

Filed:

Feb. 08, 2021
Applicant:

Nvidia Corporation, Santa Clara, CA (US);

Inventors:

Eugene d″Eon, Foster City, CA (US);

Jan Novak, Meilen, CH;

Jacopo Pantaleoni, Berlin, DE;

Niko Markus Kettunen, Zurich, CH;

Assignee:

NVIDIA Corporation, Santa Clara, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 15/50 (2011.01); G06T 15/00 (2011.01); G06F 9/455 (2018.01);
U.S. Cl.
CPC ...
G06T 15/506 (2013.01); G06F 9/45558 (2013.01); G06T 15/005 (2013.01); G06F 2009/4557 (2013.01); G06F 2009/45583 (2013.01);
Abstract

In various examples, transmittance may be computed using a power-series expansion of an exponential integral of a density function. A term of the power-series expansion may be evaluated as a combination of values of the term for different orderings of samples in the power-series expansion. A sample may be computed from a combination of values at spaced intervals along the function and a discontinuity may be compensated for based at least on determining a version of the function that includes an alignment of a first point with a second point of the function. Rather than arbitrarily or manually selecting a pivot used to expand the power-series, the pivot may be computed as an average of values of the function. The transmittance estimation may be computed from the power-series expansion using a value used to compute the pivot (for a biased estimate) or using all different values (for an unbiased estimate).


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