Microsoft Corporation
Holodouble: systems and methods for low-bandwidth and high quality remote visual communication

Last updated:

Abstract:

A system receives input from a user to initiate a process of generating a holodouble of the user. The system obtains image data of the user and deconstructs the image data to obtain a set of sparse data that identifies one or more attributes associated with the image data the user. The system uses a holodouble training model to generate and train the holodouble of the user based on the set of sparse data and obtained image data. The system renders a representation of the holodouble to the user concurrently while capturing new image data of the user, receives input from the user comprising approval of the holodouble, and completes training of the holodouble by saving the holodouble for subsequent use. The subsequent use includes one or more remote visual communication sessions.

Status:
Grant
Type:

Utility

Filling date:

12 Feb 2021

Issue date:

30 Aug 2022