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. 31, 2023

Filed:

Jun. 03, 2022
Applicant:

Microsoft Technology Licensing, Llc, Redmond, WA (US);

Inventors:

Curtis Alan Tesdahl, Fort Collins, CO (US);

Benjamin Eliot Lundell, Seattle, WA (US);

David Rohn, Fort Collins, CO (US);

Dmitry Reshidko, Sammamish, WA (US);

Dmitriy Churin, Redmond, WA (US);

Kevin James Matherson, Fort Collins, CO (US);

Sayyed Jaffar Ali Raza, Fort Collins, CO (US);

Assignee:
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 3/01 (2006.01); G02B 27/00 (2006.01); G06N 3/084 (2023.01); G06V 40/10 (2022.01); G06V 40/18 (2022.01); G06V 10/82 (2022.01); G02B 27/01 (2006.01);
U.S. Cl.
CPC ...
G06F 3/013 (2013.01); G02B 27/0093 (2013.01); G02B 27/0101 (2013.01); G02B 27/017 (2013.01); G06N 3/084 (2013.01); G06V 10/82 (2022.01); G06V 40/11 (2022.01); G06V 40/193 (2022.01); G02B 2027/014 (2013.01); G02B 2027/0138 (2013.01);
Abstract

Eye and hand tracking systems in head-mounted display (HMD) devices are arranged with lensless camera systems using optical masks as encoding elements that apply convolutions to optical images of body parts (e.g., eyes or hands) of HMD device users. The convolved body images are scrambled or coded representations that are captured by a sensor in the system, but are not human-recognizable. A machine learning system such as a neural network is configured to extract body features directly from the coded representation without performance of deconvolutions conventionally utilized to reconstruct the original body images in human-recognizable form. The extracted body features are utilized by the respective eye or hand tracking systems to output relevant tracking data for the user's eyes or hands which may be utilized by the HMD device to support various applications and user experiences. The lensless camera and machine learning system are jointly optimizable on an end-to-end basis.


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