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:
May. 27, 2025

Filed:

Dec. 07, 2022
Applicant:

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

Inventors:

Miguel Andres Granados Velasquez, Thalwil, CH;

Javier Victorio Gomez Gonzalez, Zurich, CH;

Danying Hu, Sunnyvale, CA (US);

Eran Guendelman, Tel Aviv, IL;

Ali Shahrokni, San Jose, CA (US);

Ashwin Swaminathan, Dublin, CA (US);

Mukta Prasad, Uitikon Waldegg, CH;

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 19/20 (2011.01); G06T 7/38 (2017.01); G06T 15/00 (2011.01); G06T 19/00 (2011.01);
U.S. Cl.
CPC ...
G06T 19/20 (2013.01); G06T 7/38 (2017.01); G06T 15/005 (2013.01); G06T 19/006 (2013.01); G06T 2219/2004 (2013.01);
Abstract

A cross reality system enables any of multiple devices to efficiently and accurately access previously persisted maps, even maps of very large environments, and render virtual content specified in relation to those maps. The cross reality system may quickly process a batch of images acquired with a portable device to determine whether there is sufficient consistency across the batch in the computed localization. Processing on at least one image from the batch may determine a rough localization of the device to the map. This rough localization result may be used in a refined localization process for the image for which it was generated. The rough localization result may also be selectively propagated to a refined localization process for other images in the batch, enabling rough localization processing to be skipped for the other images.


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