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:
Apr. 02, 2019

Filed:

Feb. 16, 2017
Applicant:

The University of North Carolina AT Chapel Hill, Chapel Hill, NC (US);

Inventors:

Carl Henry Schissler, Carrboro, NC (US);

Dinesh Manocha, Chapel Hill, NC (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/50 (2006.01); G06T 17/20 (2006.01); G06T 7/11 (2017.01); G06K 9/00 (2006.01); G06K 9/46 (2006.01); G06K 9/62 (2006.01); G06F 3/16 (2006.01); H04R 27/00 (2006.01); H04S 7/00 (2006.01); A63F 13/54 (2014.01); H04R 29/00 (2006.01); H04R 1/20 (2006.01);
U.S. Cl.
CPC ...
G06F 17/5009 (2013.01); G06K 9/00201 (2013.01); G06K 9/00671 (2013.01); G06K 9/4628 (2013.01); G06K 9/627 (2013.01); G06T 7/11 (2017.01); G06T 17/20 (2013.01); A63F 13/54 (2014.09); G06F 3/165 (2013.01); G06F 17/5004 (2013.01); G06F 2217/82 (2013.01); G06T 2200/04 (2013.01); G06T 2207/20081 (2013.01); H04R 1/20 (2013.01); H04R 27/00 (2013.01); H04R 29/00 (2013.01); H04S 7/305 (2013.01); H04S 2400/11 (2013.01);
Abstract

Methods, systems, and computer readable media for acoustic classification and optimization for multi-modal rendering of real-world scenes are disclosed. According to one method for determining acoustic material properties associated with a real-world scene, the method comprises obtaining an acoustic response in a real-world scene. The method also includes generating a three-dimensional (3D) virtual model of the real-world scene. The method further includes determining acoustic material properties of surfaces in the 3D virtual model using a visual material classification algorithm to identify materials in the real-world scene that make up the surfaces and known acoustic material properties of the materials. The method also includes using the acoustic response in the real-world scene to adjust the acoustic material properties.


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