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:
Mar. 05, 2024

Filed:

Nov. 13, 2019
Applicant:

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

Inventors:

Daniel Detone, San Francisco, 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 ...
G06T 7/73 (2017.01); G02B 27/01 (2006.01); G06N 3/08 (2023.01); G06T 7/33 (2017.01); G06V 10/40 (2022.01);
U.S. Cl.
CPC ...
G02B 27/0172 (2013.01); G06N 3/08 (2013.01); G06T 7/33 (2017.01); G06T 7/74 (2017.01); G06V 10/40 (2022.01); G06T 2207/10016 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30244 (2013.01);
Abstract

In an example method of training a neural network for performing visual odometry, the neural network receives a plurality of images of an environment, determines, for each image, a respective set of interest points and a respective descriptor, and determines a correspondence between the plurality of images. Determining the correspondence includes determining one or point correspondences between the sets of interest points, and determining a set of candidate interest points based on the one or more point correspondences, each candidate interest point indicating a respective feature in the environment in three-dimensional space). The neural network determines, for each candidate interest point, a respective stability metric and a respective stability metric. The neural network is modified based on the one or more candidate interest points.


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