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:
May. 17, 2022

Filed:

Aug. 26, 2020
Applicant:

Intel Corporation, Santa Clara, CA (US);

Inventors:

Carson Brownlee, Austin, TX (US);

Carsten Benthin, Voelklingen, DE;

Joshua Barczak, Timonium, MD (US);

Kai Xiao, San Jose, CA (US);

Michael Apodaca, Folsom, CA (US);

Prasoonkumar Surti, Folsom, CA (US);

Thomas Raoux, Sunnyvale, CA (US);

Assignee:

INTEL CORPORATION, Santa Clara, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 15/50 (2011.01); G06T 9/40 (2006.01); G06T 15/06 (2011.01); G06T 15/20 (2011.01); G06T 1/60 (2006.01);
U.S. Cl.
CPC ...
G06T 9/40 (2013.01); G06T 1/60 (2013.01); G06T 15/06 (2013.01); G06T 15/20 (2013.01); G06T 2210/21 (2013.01);
Abstract

Apparatus and method for context-aware compression. For example, one embodiment of an apparatus comprises: ray traversal/intersection circuitry to traverse rays through a hierarchical acceleration data structure to identify intersections between rays and primitives of a graphics scene; matrix compression circuitry/logic to compress hierarchical transformation matrices to generate compressed hierarchical transformation matrices by quantizing N-bit floating point data elements associated with child transforms of the hierarchical transformation matrices to variable-bit floating point numbers or integers comprising offsets from a parent transform of the child transform; and an instance processor to generate a plurality of instances of one or more base geometric objects in accordance with the compressed hierarchical transformation matrices.


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