Magic Leap, Inc.

Marvell International Limited

Xuan Zhao

Ali Shahrokni

Ashwin Swaminathan

Christian Ivan Robert Moore

Anush Mohan

Rafael Domingos Torres

Daniel Olshansky

Joel David Holder

Prateek Singhal

Samuel A Miller

Robert Blake Taylor

Eran Guendelman

Jehangir Tajik

Lomesh Agarwal

Siddharth Choudhary

Keng-Sheng Lin

Jeremy Dwayne Miranda

Divya Sharma

Hiral Honar Barot

Michael Harold Liebenow

Nicholas Atkinson Kramer

Benjamin Langmann

Sergiu Sima

Sen Lin

Kenneth William Tossell

Xin Ma

Yihui Li

Jackson Tek Kon Ding

Jacky Cheuk Yin Liu

Zhong Yu

Hirai Honar Barot

A cross reality system enables any of multiple types of devices to efficiently and accurately access previously stored maps and render virtual content specified in relation to those maps. The cross reality system may include a cloud-based localization service that responds to requests from devices to localize with respect to a stored map. Devices of any type, with native hardware and software configured for augmented reality operations may be configured to work with the cross reality system by incorporating components that interface between the native AR framework of the device and the cloud-based localization service. These components may present position information about the device in a format recognized by the localization service. Additionally, these components may filter or otherwise process perception data provided by the native AR framework to increase the accuracy of localization.

Cross reality system supporting multiple device types

A cross reality system enables any of multiple devices to efficiently access previously stored maps. Both stored maps and tracking maps used by portable devices may have any of multiple types of location metadata associated with them. The location metadata may be used to select a set of candidate maps for operations, such as localization or map merge, that involve finding a match between a location defined by location information from a portable device and any of a number of previously stored maps. The types of location metadata may prioritized for use in selecting the subset. To aid in selection of candidate maps, a universe of stored maps may be indexed based on geo-location information. A cross reality platform may update that index as it interacts with devices that supply geo-location information in connection with location information and may propagate that geo-location information to devices that do not supply it.

Cross reality system with prioritization of geolocation information for localization

An apparatus configured to be worn on a head of a user, includes: a screen configured to present graphics to the user; a camera system configured to view an environment in which the user is located; and a processing unit configured to determine a map based at least in part on output(s) from the camera system, wherein the map is configured for use by the processing unit to localize the user with respect to the environment; wherein the processing unit of the apparatus is also configured to obtain a metric indicating a likelihood of success to localize the user using the map, and wherein the processing unit is configured to obtain the metric by computing the metric or by receiving the metric.

Methods and apparatuses for determining and/or evaluating localizing maps of image display devices

A system form localizing an electronic device with dynamic buffering identifies, from the buffer, a first set of features that is extracted from a first image captured by the electronic device and receives, at the system, a second set of features that is extracted from a second image captured by the electronic device. The system further determines a first characteristic for the first set of features and a second characteristic for the second set of features and determines whether a triggering condition for dynamically changing a size of the buffer is satisfied based at least in part upon the first characteristic for the first set of features and the second characteristic for the second set of features.

Cross reality system with buffering for localization accuracy

A cross reality system enables any of multiple devices to efficiently and accurately access previously stored maps and render virtual content specified in relation to those maps. The cross reality system may include a cloud-based localization service that responds to requests from devices to localize with respect to a stored map. The request may include one or more sets of feature descriptors extracted from an image of the physical world around the device. Those features may be posed relative to a coordinate frame used by the local device. The localization service may identify one or more stored maps with a matching set of features. Based on a transformation required to align the features from the device with the matching set of features, the localization service may compute and return to the device a transformation to relate its local coordinate frame to a coordinate frame of the stored map.

Cross reality system with localization service

A cross reality system that provides an immersive user experience by storing persistent spatial information about the physical world that one or multiple user devices can access to determine position within the physical world and that applications can access to specify the position of virtual objects within the physical world. Persistent spatial information enables users to have a shared virtual, as well as physical, experience when interacting with the cross reality system. Further, persistent spatial information may be used in maps of the physical world, enabling one or multiple devices to access and localize into previously stored maps, reducing the need to map a physical space before using the cross reality system in it. Persistent spatial information may be stored as persistent coordinate frames, which may include a transformation relative to a reference orientation and information derived from images in a location corresponding to the persistent coordinate frame.

Cross reality system

An augmented reality viewing system is described. A local coordinate frame of local content is transformed to a world coordinate frame. A further transformation is made to a head coordinate frame and a further transformation is made to a camera coordinate frame that includes all pupil positions of an eye. One or more users may interact in separate sessions with a viewing system. If a canonical map is available, the earlier map is downloaded onto a viewing device of a user. The viewing device then generates another map and localizes the subsequent map to the canonical map.

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San Jose, CA, United States of America

Xuan Zhao