METHODS, SYSTEMS, AND COMPUTER READABLE MEDIA FOR ACOUSTIC CLASSIFICATION AND OPTIMIZATION FOR MULTI-MODAL RENDERING OF REAL-WORLD SCENES

Patent №

US 10,248,744

Granted

2019-04-02

Filed 2017

Owner

THE UNIVERSITY OF NORTH CAROLINA AT CHAPEL HILL

Lab

AI components

2

ml · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15435243

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.

Machine learningAI hardwareG06T 17/20G06F 18/2413G06F 30/13G06F 30/20G06T 7/11G06V 10/454G06V 10/764G06V 10/82+14 more

AI classification

AI hardware0.96
Machine learning0.91
Planning0.05
Natural language0.03
Speech0.00
Vision0.00
Knowledge representation0.00
Evolutionary computation0.00

Ownership

THE UNIVERSITY OF NORTH CAROLINA AT CHAPEL HILL

assignment · 418850498

Assignors

SCHISSLER, CARL HENRY, MANOCHA, DINESH

On an employer assignment, the assignors are typically the inventors.

From the same owner

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