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:
Aug. 17, 2021

Filed:

Sep. 25, 2018
Applicant:

Matterport, Inc., Sunnyvale, CA (US);

Inventors:

David Alan Gausebeck, Mountain View, CA (US);

Matthew Tschudy Bell, Palo Alto, CA (US);

Waleed K. Abdulla, Mountain View, CA (US);

Peter Kyuhee Hahn, Sunnyvale, CA (US);

Assignee:

Matterport, Inc., Sunnyvale, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 19/20 (2011.01); H04N 13/10 (2018.01); H04N 13/246 (2018.01); H04N 13/204 (2018.01); H04N 13/106 (2018.01); H04N 13/156 (2018.01); G06T 7/521 (2017.01); G06T 19/00 (2011.01); G06T 17/00 (2006.01); G06T 7/593 (2017.01); H04N 13/271 (2018.01); G06T 7/579 (2017.01); H04N 13/00 (2018.01);
U.S. Cl.
CPC ...
G06T 19/20 (2013.01); G06T 7/521 (2017.01); G06T 7/579 (2017.01); G06T 7/593 (2017.01); G06T 17/00 (2013.01); G06T 19/006 (2013.01); H04N 13/10 (2018.05); H04N 13/106 (2018.05); H04N 13/156 (2018.05); H04N 13/204 (2018.05); H04N 13/246 (2018.05); H04N 13/271 (2018.05); G06T 2207/10016 (2013.01); G06T 2207/10024 (2013.01); G06T 2207/10052 (2013.01); G06T 2210/04 (2013.01); H04N 2013/0081 (2013.01); H04N 2213/001 (2013.01);
Abstract

The disclosed subject matter is directed to employing machine learning models configured to predict 3D data from 2D images using deep learning techniques to derive 3D data for the 2D images. In some embodiments, a system is described comprising a memory that stores computer executable components, and a processor that executes the computer executable components stored in the memory. The computer executable components comprise a reception component configured to receive two-dimensional images, and a three-dimensional data derivation component configured to employ one or more three-dimensional data from two-dimensional data (3D-from-2D) neural network models to derive three-dimensional data for the two-dimensional images.


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