Magic Leap, Inc.

Primesense Ltd

Apple Inc.

Eran Guendelman

Ashwin Swaminathan

Ali Shahrokni

Tomer Yanir

Miguel Andres Granados Velasquez

Javier Victorio Gomez Gonzalez

Mukta Prasad

Samuel A Miller

Robert Blake Taylor

Anush Mohan

Xuan Zhao

Prateek Singhal

Amiad Gurman

Michael Brand

Daniel Olshansky

Rafael Domingos Torres

Jehangir Tajik

Christian Ivan Robert Moore

Lomesh Agarwal

Joel David Holder

Hélder Toshiro Suzuki

Siddharth Choudhary

Jeremy Dwayne Miranda

Hiral Honar Barot

Michael Harold Liebenow

Shai Litvak

Nicholas Atkinson Kramer

Danying Hu

Kenneth William Tossell

Eyal Bychkov

Ofir Or

Tamir Berliner

Aviad Maizels

Oren Brezner

Dominik Michael Kasper

Adi Berenson

Keng-Sheng Lin

Ziv Hendel

Hirai Honar Barot

Oz Magal

Sergio Golman

Jonathan Pokras

A cross reality system enables any of multiple devices to efficiently and accurately access previously persisted maps, even maps of very large environments, and render virtual content specified in relation to those maps. The cross reality system may quickly process a batch of images acquired with a portable device to determine whether there is sufficient consistency across the batch in the computed localization. Processing on at least one image from the batch may determine a rough localization of the device to the map. This rough localization result may be used in a refined localization process for the image for which it was generated. The rough localization result may also be selectively propagated to a refined localization process for other images in the batch, enabling rough localization processing to be skipped for the other images.

Cross reality system with fast localization

A cross reality system enables any of multiple devices to efficiently and accurately access previously persisted maps of very large scale environments and render virtual content specified in relation to those maps. The cross reality system may build a persisted map, which may be in canonical form, by merging tracking maps from the multiple devices. A map merge process determines mergibility of a tracking map with a canonical map and merges a tracking map with a canonical map in accordance with mergibility criteria, such as, when a gravity direction of the tracking map aligns with a gravity direction of the canonical map. Refraining from merging maps if the orientation of the tracking map with respect to gravity is not preserved avoids distortions in persisted maps and results in multiple devices, which may use the maps to determine their locations, to present more realistic and immersive experiences for their users.

Cross reality system with accurate shared maps

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

A cross reality system enables portable devices to access stored maps and efficiently and accurately render virtual content specified in relation to those maps. The system may process images acquired with a portable device to quickly and accurately localize the portable device to the persisted maps by constraining the result of localization based on the estimated direction of gravity of a persisted map and the coordinate frame in which data in a localization request is posed. The system may actively align the data in the localization request with an estimated direction of gravity during the localization processing, and/or a portable device may establish a coordinate frame in which the data in the localization request is posed aligned with an estimated direction of gravity such that the subsequently acquired data for inclusion in a localization request, when posed in that coordinate frame, is passively aligned with the estimated direction of gravity.

Cross reality system for large scale environments

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.

A method, including receiving, by a computer, a two-dimensional image (2D) containing at least a physical surface and segmenting the physical surface into one or more physical regions. A functionality is assigned to each of the one or more physical regions, each of the functionalities corresponding to a tactile input device, and a sequence of three-dimensional (3D) maps is received, the sequence of 3D maps containing at least a hand of a user of the computer, the hand positioned on one of the physical regions. The 3D maps are analyzed to detect a gesture performed by the user, and based on the gesture, an input is simulated for the tactile input device corresponding to the one of the physical regions.

Enhanced virtual touchpad

A method for image processing includes receiving a depth image of a scene containing a human subject and receiving a color image of the scene containing the human subject. A part of a body of the subject is identified in at least one of the images. A quality of both the depth image and the color image is evaluated, and responsively to the quality, one of the images is selected to be dominant in processing of the part of the body in the images. The identified part is localized in the dominant one of the images, while using supporting data from the other one of the images.

Combined color image and depth processing

A method for processing data includes receiving a depth map of a scene containing a humanoid form. The depth map is processed so as to identify three-dimensional (3D) connected components in the scene, each connected component including a set of the pixels that are mutually adjacent and have mutually-adjacent depth values. Separate, first and second connected components are identified as both belonging to the humanoid form, and a representation of the humanoid form is generated including both of the first and second connected components.

Analysis of three-dimensional scenes

Identifying components of a humanoid form in three-dimensional scenes

Tracking body parts by combined color image and depth processing

Growing community of inventors

Tel Aviv, Israel

Eran Guendelman