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:
Oct. 03, 2023

Filed:

Apr. 09, 2020
Applicant:

Magic Leap, Inc., Plantation, FL (US);

Inventors:

Chen-Yu Lee, Sunnyvale, CA (US);

Vijay Badrinarayanan, Mountain View, CA (US);

Tomasz Jan Malisiewicz, Mountain View, CA (US);

Andrew Rabinovich, San Francisco, CA (US);

Assignee:

MAGIC LEAP, INC., Plantation, FL (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 3/084 (2023.01); G06N 3/04 (2023.01); G06V 20/00 (2022.01); G06V 10/44 (2022.01); G06V 10/94 (2022.01); G06V 20/20 (2022.01); G06F 18/214 (2023.01); G06F 18/2413 (2023.01); G06N 3/044 (2023.01); G06N 3/045 (2023.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01); G06N 3/082 (2023.01);
U.S. Cl.
CPC ...
G06N 3/084 (2013.01); G06F 18/214 (2023.01); G06F 18/2413 (2023.01); G06N 3/04 (2013.01); G06N 3/044 (2023.01); G06N 3/045 (2023.01); G06V 10/44 (2022.01); G06V 10/454 (2022.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01); G06V 10/95 (2022.01); G06V 20/20 (2022.01); G06V 20/36 (2022.01); G06N 3/082 (2013.01);
Abstract

Systems and methods for estimating a layout of a room are disclosed. The room layout can comprise the location of a floor, one or more walls, and a ceiling. In one aspect, a neural network can analyze an image of a portion of a room to determine the room layout. The neural network can comprise a convolutional neural network having an encoder sub-network, a decoder sub-network, and a side sub-network. The neural network can determine a three-dimensional room layout using two-dimensional ordered keypoints associated with a room type. The room layout can be used in applications such as augmented or mixed reality, robotics, autonomous indoor navigation, etc.


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