公开(公告)号：US11950000B2

公开(公告)日：2024-04-02

申请号：US17930321

申请日：2022-09-07

Applicant: Microsoft Technology Licensing, LLC

Inventor： Curtis Alan Tesdahl ,  James Peele Terrell, Jr.

IPC: H04N23/957 ,  H04N23/56 ,  H04N23/951

CPC classification number: H04N23/957 ,  H04N23/56 ,  H04N23/951

Abstract: A camera system comprises a lamp configured to emit light, a lamp driver configured to energize the lamp, an image-sensor array configured to acquire image data, a lenslet array, and an image engine. The lenslet array comprises a plurality of lenslets arranged laterally over the image-sensor array and configured to focus the light, reflected from a subject, onto the image-sensor array. The image engine is configured to (a) receive the image data from the image-sensor array, (b) resolve the image data into a plurality of component images, and (c) return an enhanced image based on the plurality of component images, the enhanced image having enhanced spatial resolution relative to any of the component images.

公开(公告)号：US11803238B1

公开(公告)日：2023-10-31

申请号：US17832424

申请日：2022-06-03

Applicant: Microsoft Technology Licensing, LLC

Inventor： Curtis Alan Tesdahl ,  Benjamin Eliot Lundell ,  David Rohn ,  Dmitry Reshidko ,  Dmitriy Churin ,  Kevin James Matherson ,  Sayyed Jaffar Ali Raza

IPC: G06F3/01 ,  G02B27/00 ,  G06N3/084 ,  G06V40/10 ,  G06V40/18 ,  G06V10/82 ,  G02B27/01

CPC classification number: G06F3/013 ,  G02B27/0093 ,  G02B27/0101 ,  G02B27/017 ,  G06N3/084 ,  G06V10/82 ,  G06V40/11 ,  G06V40/193 ,  G02B2027/014 ,  G02B2027/0138

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.

公开(公告)号：US12242667B2

公开(公告)日：2025-03-04

申请号：US18480181

申请日：2023-10-03

Applicant: Microsoft Technology Licensing, LLC

Inventor： Curtis Alan Tesdahl ,  Benjamin Eliot Lundell ,  David Rohn ,  Dmitry Reshidko ,  Dmitriy Churin ,  Kevin James Matherson ,  Sayyed Jaffar Ali Raza

IPC: G06F3/01 ,  G02B27/00 ,  G02B27/01 ,  G06N3/084 ,  G06V10/82 ,  G06V40/10 ,  G06V40/18

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.

公开(公告)号：US11972042B2

公开(公告)日：2024-04-30

申请号：US17348551

申请日：2021-06-15

Applicant: Microsoft Technology Licensing, LLC

Inventor： Benjamin Eliot Lundell ,  David C Rohn ,  Curtis Alan Tesdahl ,  Marko Bezulj ,  Christopher Charles Aholt ,  Navid Poulad

IPC: G06F3/01 ,  G02B27/00 ,  G02B27/01

CPC classification number: G06F3/013 ,  G02B27/0093 ,  G02B27/0172 ,  G02B2027/0187

Abstract: A gaze detection assembly comprises a plurality of infrared (IR) light emitters configured to emit IR light toward a user eye and an IR camera configured to sequentially capture IR images of the user eye. A controller is configured to, during a reference frame, control the plurality of IR light emitters to emit IR light toward the user eye with a reference intensity distribution. During the reference frame, an IR image is captured depicting a first glint distribution on the user eye. Based at least in part on the first glint distribution, during a subsequent frame, the plurality of IR light emitters are controlled to emit IR light toward the user eye with a subsequent intensity distribution, different than the reference intensity distribution. During the subsequent frame, a second IR image is captured depicting a second glint distribution on the user eye.