公开(公告)号：US11436804B2

公开(公告)日：2022-09-06

申请号：US16897596

申请日：2020-06-10

Applicant: Arm Limited

Inventor： Roberto Lopez Mendez ,  Daren Croxford ,  Ioan-Cristian Szabo ,  Mina Ivanova Dimova

IPC: G06T15/00 ,  G06T19/00 ,  G06T17/00 ,  G06T7/10 ,  G06V20/20

Abstract: An AR system is provided, the AR system including one or more sensors, storage, one or more communications modules, and one or more processors. The one or more sensors generate sensed data representing at least part of an environment in which the AR system is located. The one or more communications modules transmit localization data to be used in determining the location and orientation of the AR system. The one or more processors are arranged to obtain sensed data representing an environment in which the AR system is located, process the sensed data to identify a first portion of the sensed data which represents redundant information, derive localization data, wherein the localization data is derived from the sensed data and the first portion is obscured during the derivation of the localization data, and transmit at least a portion of the localization data using the one or more communication modules.

公开(公告)号：US20230316694A1

公开(公告)日：2023-10-05

申请号：US17713119

申请日：2022-04-04

Applicant: Arm Limited

Inventor： Daren Croxford ,  Roberto Lopez Mendez ,  Mina Ivanova Dimova

IPC: G06V10/25 ,  G06V10/70 ,  G06V10/82 ,  G06N3/04

CPC classification number: G06V10/25 ,  G06N3/0454 ,  G06V10/82 ,  G06V10/87

Abstract: When processing regions of interest in frames in a data processing system that can execute a plurality of neural networks that are each configured to more optimally process a region of interest of a respective size, a region of interest is first identified within a frame, the size of the region of interest is determined, and one of the plurality of available neural networks is selected to use to process the region of interest based on the determined size. The region of interest is scaled to produce a scaled version of the region of interest, where the scaling is determined based on the selected neural network. The scaled version of the region of interest is then processed using the selected neural network.

公开(公告)号：US12067798B2

公开(公告)日：2024-08-20

申请号：US17573186

申请日：2022-01-11

Applicant: Arm Limited

Inventor： Roberto Lopez Mendez ,  Daren Croxford ,  Peter James Samuel Ferguson ,  Judicael Sean Eugene Clair ,  Koki Mitsunami ,  Benjamin Charles Clark ,  Mina Ivanova Dimova ,  Pavel Rudko

IPC: G06T7/50 ,  G06T7/73 ,  G06V10/82 ,  G06V40/10

CPC classification number: G06V40/10 ,  G06T7/50 ,  G06T7/75 ,  G06V10/82 ,  G06T2207/10024 ,  G06T2207/10028 ,  G06T2207/20081 ,  G06T2207/20084

Abstract: Systems, apparatuses, devices and methods for body pose tracking are provided that are simple, inexpensive, flexible, accurate and robust. One body pose tracking system includes a mobile device, such as a smartphone, and active or passive marker bands. Images and depth information captured by the smartphone may be analyzed using an Inverse Kinematic (IK) model, and, in certain cases, the IK model solution may be augmented by machine learning. Other body pose tracking systems include an augmented-reality/virtual-reality (AR/VR) head-mounted-display (HMD) and/or AR/VR glasses rather than a smartphone. An AR/VR HMD device may include a depth sensor and multiple environment-facing cameras.

公开(公告)号：US12047386B2

公开(公告)日：2024-07-23

申请号：US17001187

申请日：2020-08-24

Applicant: Arm Limited

Inventor： Roberto Lopez Mendez ,  Daren Croxford ,  Ioan-Cristian Szabo ,  Mina Ivanova Dimova

IPC: H04L9/40 ,  G06T7/579 ,  G06T7/73 ,  G06T19/00

CPC classification number: H04L63/107 ,  G06T7/579 ,  G06T7/73 ,  G06T19/006 ,  G06T2207/10028

Abstract: A computer-implemented method for an augmented-reality system is provided. The computer-implemented method comprises obtaining sensed data, representing an environment in which the AR system is located, determining that the AR system is in a location associated with a first authority characteristic, and controlling access to the sensed data for one or more applications operating in the AR system. Each of the one or more applications is associated with a respective authority characteristic. Controlling access to the sensed data for a said application is performed in dependence on the first authority characteristic and a respective authority characteristic associated with the said application. An AR system comprising one or more sensors, storage for storing sensed data, one or more application modules, and one or more processors arranged to perform the computer-implemented method is provided. A non-transitory computer-readable storage medium comprising computer-readable instructions for performing the computer-implemented method is also provided.

公开(公告)号：US20250111602A1

公开(公告)日：2025-04-03

申请号：US18478511

申请日：2023-09-29

Applicant: Arm Limited

Inventor： Daren Croxford ,  Roberto Lopez Mendez ,  Mina Ivanova Dimova ,  Maxim Novikov

IPC: G06T15/80 ,  G06T3/40 ,  G06T5/00 ,  G06T7/20 ,  G06T7/50

Abstract: Example methods, apparatuses, and/or articles of manufacture are disclosed that may be implemented, in whole or in part, using one or more computing devices to enhance a rendered image. In an implementation, a process to enhance a portion of a rendered image may be affected based, at least in part, on a shading rate applied in rendering the portion of the rendered image.

公开(公告)号：US20230222830A1

公开(公告)日：2023-07-13

申请号：US17573186

申请日：2022-01-11

Applicant: Arm Limited

Inventor： Roberto Lopez Mendez ,  Daren Croxford ,  Peter James Samuel Ferguson ,  Judicael Sean Eugene Clair ,  Koki Mitsunami ,  Benjamin Charles Clark ,  Mina Ivanova Dimova ,  Pavel Rudko

IPC: G06V40/10 ,  G06V10/82 ,  G06T7/73 ,  G06T7/50

CPC classification number: G06V40/10 ,  G06T7/50 ,  G06T7/75 ,  G06V10/82 ,  G06T2207/10024 ,  G06T2207/10028 ,  G06T2207/20081 ,  G06T2207/20084

Abstract: Systems, apparatuses, devices and methods for body pose tracking are provided that are simple, inexpensive, flexible, accurate and robust. One body pose tracking system includes a mobile device, such as a smartphone, and active or passive marker bands. Images and depth information captured by the smartphone may be analyzed using an Inverse Kinematic (IK) model, and, in certain cases, the IK model solution may be augmented by machine learning. Other body pose tracking systems include an augmented-reality/virtual-reality (AR/VR) head-mounted-display (HMD) and/or AR/VR glasses rather than a smartphone. An AR/VR HMD device may include a depth sensor and multiple environment-facing cameras.