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:
Jan. 02, 2024

Filed:

Sep. 07, 2022
Applicant:

Meta Platforms Technologies, Llc, Menlo Park, CA (US);

Inventors:

James Allan Booth, Pacifica, CA (US);

Mahdi Salmani Rahimi, San Francisco, CA (US);

Gioacchino Noris, Zurich, CH;

Assignee:

Meta Platforms Technologies, LLC, Menlo Park, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06T 19/00 (2011.01); G06T 15/20 (2011.01); G06N 20/00 (2019.01); G06V 40/10 (2022.01);
U.S. Cl.
CPC ...
G06T 19/006 (2013.01); G06N 20/00 (2019.01); G06T 15/205 (2013.01); G06V 40/10 (2022.01);
Abstract

The disclosed artificial reality system can provide a user self representation in an artificial reality environment based on a self portion from an image of the user. The artificial reality system can generate the self representation by applying a machine learning model to classify the self portion of the image. The machine learning model can be trained to identify self portions in images based on a set of training images, with portions tagged as either depicting a user from a self-perspective or not. The artificial reality system can display the self portion as a self representation in the artificial reality environment by positioning them in the artificial reality environment relative to the user's perspective in the artificial reality environment. The artificial reality system can also identify movements of the user and can adjust the self representation to match the user's movement, providing more accurate self representations.


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