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.
AI classification
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.