公开(公告)号：US11727625B2

公开(公告)日：2023-08-15

申请号：US17456370

申请日：2021-11-23

Applicant: QUALCOMM Incorporated

Inventor： Pushkar Gorur Sheshagiri ,  Pawan Kumar Baheti ,  Ajit Deepak Gupte ,  Sandeep Kanakapura Lakshmikantha

IPC: G06T15/20 ,  G06F3/01 ,  G06F3/04815 ,  G02B27/01 ,  G02B27/00 ,  G06F1/16 ,  G06F3/03 ,  G06F3/04842 ,  G06T7/70 ,  G06T13/40 ,  G06T19/00 ,  G06F3/16 ,  G06T3/20 ,  G06T7/60

CPC classification number: G06T15/20 ,  G02B27/0093 ,  G02B27/017 ,  G06F1/163 ,  G06F3/011 ,  G06F3/012 ,  G06F3/017 ,  G06F3/0304 ,  G06F3/04815 ,  G06F3/04842 ,  G06T7/70 ,  G06T13/40 ,  G06T19/006 ,  G02B2027/0187 ,  G06F3/167 ,  G06T3/20 ,  G06T7/60 ,  G06T2219/024

Abstract: Methods, devices, and apparatuses are provided to facilitate a positioning of an item of virtual content in an extended reality environment. For example, a placement position for an item of virtual content can be transmitted to one or more of a first device and a second device. The placement position can be based on correlated map data generated based on first map data obtained from the first device and second map data obtained from the second device. In some examples, the first device can transmit the placement position to the second device.

公开(公告)号：US11144117B1

公开(公告)日：2021-10-12

申请号：US16876754

申请日：2020-05-18

Applicant: QUALCOMM Incorporated

Inventor： Chiranjib Choudhuri ,  Ajit Deepak Gupte ,  Pushkar Gorur Sheshagiri ,  Gerhard Reitmayr ,  Tom Edward Botterill

IPC: G06F3/01 ,  G06N20/00 ,  G06N3/04 ,  G06N3/08 ,  G06F3/0346

Abstract: Methods, systems, and devices for deep learning based head motion prediction for extended reality are described. The head pose prediction may involve training one or more layers of a machine learning network based on application data and an estimated head motion range associated with the extended reality system. The network may receive one or more bias corrected inertial measurement unit (IMU) measurements based on a sensor. The network may model a relative head pose of the user as a polynomial of time over a prediction interval based on the bias corrected IMU measurements and the trained one or more layers of the machine learning network. The network may determine a future relative head pose of the user based on the polynomial (e.g., which may be used for virtual object generation, display, etc. within an extended reality system).

公开(公告)号：US20190082103A1

公开(公告)日：2019-03-14

申请号：US15701062

申请日：2017-09-11

Applicant: QUALCOMM Incorporated

Inventor： Sudipto Banerjee ,  Pushkar Gorur Sheshagiri ,  Pawan Kumar Baheti ,  Ajit Deepak Gupte ,  Ajit Venkat Rao

IPC: H04N5/232 ,  G06T3/40 ,  G06T7/292 ,  G06T7/50

Abstract: A method performed by an electronic device is described. The method includes receiving a plurality of images from a first camera with a first field of view and a second plurality of images from a second camera with a second field of view. An overlapping region exists between the first field of view and the second field of view. The method also includes predicting a disparity of a moving object present in a first image of the first plurality of images. The moving object is not present in a corresponding second image of the second plurality of images. The method further includes determining warp vectors based on the predicted disparity. The method additionally includes combining an image from the first plurality of images with an image from the second plurality of images based on the determined warp vectors.