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:
Feb. 06, 2024

Filed:

Nov. 14, 2019
Applicant:

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

Inventors:

Danying Hu, San Jose, CA (US);

Daniel DeTone, San Francisco, CA (US);

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

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 20/20 (2022.01); G06T 7/80 (2017.01); G06T 7/70 (2017.01); G06N 3/08 (2023.01); G06T 3/40 (2006.01); G06T 9/00 (2006.01); G06N 3/045 (2023.01); G02B 27/01 (2006.01); G06T 19/00 (2011.01); G06V 10/10 (2022.01); G06V 10/82 (2022.01); G06V 10/22 (2022.01); G06V 40/10 (2022.01);
U.S. Cl.
CPC ...
G06V 20/20 (2022.01); G02B 27/0172 (2013.01); G06N 3/045 (2023.01); G06N 3/08 (2013.01); G06T 3/4046 (2013.01); G06T 7/70 (2017.01); G06T 7/80 (2017.01); G06T 9/002 (2013.01); G06T 19/006 (2013.01); G06V 10/17 (2022.01); G06V 10/225 (2022.01); G06V 10/82 (2022.01); G06V 40/10 (2022.01); G06T 2207/30244 (2013.01);
Abstract

A deep neural network provides real-time pose estimation by combining two custom deep neural networks, a location classifier and an ID classifier, with a pose estimation algorithm to achieve a 6D0F location of a fiducial marker. The locations may be further refined into subpixel coordinates using another deep neural network. The networks may be trained using a combination of auto-labeled videos of the target marker, synthetic subpixel corner data, and/or extreme data augmentation. The deep neural network provides improved pose estimations particularly in challenging low-light, high-motion, and/or high-blur scenarios.


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