Snap Inc.

Daqri, LLC

Matthias Kalkgruber

Daniel Wolf

Georg Halmetschlager-Funek

Jeroen Diederik Hol

Daniel Wagner

Clemens Birklbauer

Gerald Nilles

Kai Zhou

Erick Mendez Mendez

Jakob Zillner

Tiago Miguel Pereira Torres

John James Robertson

Bernhard Jung

Olha Borys

Anton Kondratenko

Dmitry Ryuma

Mathieu Emmanuel Vignau

Bo Ding

Edward Lee Kim-Koon

Alexander Sourov

Niall Murphy

Sagi Katz

Sumant Milind Hanumante

Ozi Egri

Weston Welge

Ramzi Zahreddine

Thomas Muttenthaler

Nikolaj Kuntner

Thomas Faeulhammer

Jason Heger

Lucas Kazansky

Alexander Kane

Christopher Michaels Garcia

Chintan Doshi

Erick Mendez

Michael Kozlowski

Yubin Xi

Xuan Wang

Simon Schreiberhuber

Devices and methods for dynamic power configuration (e.g., reduction) for thermal management (e.g., mitigation) in a wearable electronic device such as an eyewear device. The wearable electronic device monitors its temperature and, responsive to the temperature, configures the services it provides to operate in different modes for thermal mitigation (e.g., to prevent overheating). For example, based on temperature, the wearable electronic device adjusts sensors (e.g., turns cameras on or off, changes the sampling rate, or a combination thereof) and adjusts display components (e.g., adjusted rate at which a graphical processing unit generates images and a visual display is updated). This enables the wearable electronic device to consume less power when temperatures are too high in order to provide thermal mitigation.

Eyewear device dynamic power configuration

In examples described herein, a sensor external to an extended reality (XR) device is connected to an extremity of a user of the XR device. The external sensor is communicatively coupled to the XR device. The XR device captures image data comprising one or more images of the extremity of the user. The XR device accesses external tracking data generated by the external sensor. A forecast of a pose of the extremity is generated based on the image data and the external tracking data. The forecast may be used for tracking of the extremity or to render virtual content for presentation to the user.

Body-mounted sensor for improved pose forecasting

An eyewear device including a sensor used to measure deformation of an eyewear frame to estimate an inter-pupillary distance (IPD) of an eyewear user. The sensor is used to determine head breadth (HB) of the user and to estimate the IPD of the user. A processor displays an image on a display of the eyewear as a function of the estimated IPD to improve virtual object rendering for an improved augmented reality (AR) viewing experience while reducing vergence accommodation mismatch (VAM). User profile data, such as age and gender, can be used to generate a more accurate estimated IPD of the user.

Eyewear with inter-pupillary distance estimation

A method for recalibrating an augmented reality (AR) device includes generating and storing a ground truth map of a real-world environment when the AR device is operating with a high likelihood of having an accurate factory calibration. During operation of the AR device, new map data is generated for the real-world environment. The new map data is compared to the ground truth map to detect potential calibration errors. If calibration errors are detected, a recalibration procedure is executed by determining an optimal path through the real-world environment that allows for observing parameters requiring recalibration. Visual cues are generated to guide a user of the AR device through the optimal path. As the user follows the visual cues, calibration parameters are iteratively adjusted to eliminate detected calibration errors. The recalibration procedure may be presented as an interactive game to improve user engagement, with rewards provided for accurately following guidance.

Field calibration of an augmented reality device

A method for dynamically initializing a 3 degrees of freedom (3DOF) tracking device is described. In one aspect, the method includes accessing a gyroscope signal from a gyroscope of the 3DOF tracking device, accessing an accelerometer signal from an accelerometer of the 3DOF tracking device, determining an initial state includes a combination of an initial orientation, an initial position, and an initial velocity of the 3DOF tracking device, the initial state indicating a starting condition of the 3DOF tracking device, integrating the gyroscope signal and the accelerometer signal to obtain orientation and position signals using the initial state, and refining an inclination signal of the orientation signal using the position signal.

Dynamic initialization of 3DOF AR tracking system

A system for deformation or bending correction in an Augmented Reality (AR) system. Sensors are positioned in a frame of a head-worn AR system to sense forces or pressure acting on the frame by temple pieces attached to the frame. The sensed forces or pressure are used in conjunction with a model of the frame to determine a corrected model of the frame. The corrected model is used to correct video data captured by the AR system and to correct a video virtual overlay that is provided to a user wearing the head-worn AR system.

AR system bending correction

An eyewear device including a strain gauge sensor to determine when the eyewear device is manipulated by a user, such as being put on, taken off, and interacted with. A processor identifies a signature event based on sensor signals received from the strain gauge sensor and a data table of strain gauge sensor measurements corresponding to signature events. The processor controls the eyewear device as a function of the identified signature event, such as powering on a display of the eyewear device as the eyewear device is being put on a user's head, and then turning off the display when the eyewear device is removed from the user's head.

Eyewear with strain gauge wear detection

Visual-inertial tracking of an eyewear device using a rolling shutter camera(s). The device includes a position determining system. Visual-inertial tracking is implemented by sensing motion of the device. An initial pose is obtained for a rolling shutter camera and an image of an environment is captured. The image includes feature points captured at a particular capture time. A number of poses for the rolling shutter camera is computed based on the initial pose and sensed movement of the device. The number of computed poses is responsive to the sensed movement of the mobile device. A computed pose is selected for each feature point in the image by matching the particular capture time for the feature point to the particular computed time for the computed pose. The position of the mobile device is determined within the environment using the feature points and the selected computed poses for the feature points.

Visual-inertial tracking using rolling shutter cameras

A method for limiting motion blur in a visual tracking system is described. In one aspect, the method includes accessing a first image generated by an optical sensor of the visual tracking system, identifying camera operating parameters of the optical sensor for the first image, determining a motion of the optical sensor for the first image, determining a motion blur level of the first image based on the camera operating parameters of the optical sensor and the motion of the optical sensor, and adjusting the camera operating parameters of the optical sensor based on the motion blur level.

Dynamic adjustment of exposure and ISO to limit motion blur

An eyewear device with flexible frame for Augmented Reality (AR) is disclosed. At least two sensors and a display are mounted on the flexible frame. When in use, the real time geometry of the eyewear device may change from factory calibrated geometry, resulting in low quality AR rendering. A modeling module is provided to model the real time geometry of the eyewear device on the fly using sensor information of the at least two sensors. The modeled real time geometry is then provided to a rendering module to accurately display the AR to the user.

Geometry modeling of eyewear devices with flexible frames

Bending data is used to facilitate tracking operations of an extended reality (XR) device, such as hand tracking or other object tracking operations. The XR device obtains bending data indicative of bending of the XR device to accommodate a body part of a user wearing the XR device. The XR device determines, based on the bending data, whether to use previously identified biometric data in a tracking operation. A mode of the XR device is selected responsive to determining whether to use the previously identified biometric data. The selected mode is used to initialize the tracking operation. The selected mode may be a first mode in which the previously identified biometric data is used in the tracking operation or a second mode in which the previously identified biometric data is not used in the tracking operation.

Bending-assisted calibration for extended reality tracking

Visual-inertial tracking of an eyewear device using sensors. The eyewear device monitors the sensors of a visual inertial odometry system (VIOS) that provide input for determining a position of the device within its environment. The eyewear device determines the status of the VIOS based information from the sensors and adjusts the plurality of sensors (e.g., by turning on/off sensors, changing the sampling rate, of a combination thereof) based on the determined status. The eyewear device then determines the position of the eyewear device within the environment using the adjusted plurality of sensors.

Dynamic sensor selection for visual inertial odometry systems

An eyewear device having an image processor operable in a camera pipeline for computer vision (CV) and in augmented reality (AR) systems. The image processor is configured to selectively control a plurality of cameras to provide images having a first resolution in the high power AR mode, and to provide the images having a second resolution in the low power CV mode. The first resolution is higher than the second resolution, and the plurality of cameras consume less power in the CV mode than the AR mode. The image processor controls the camera pipeline to process the first resolution high IQ images from the plurality of cameras to operate in the AR mode, and controls the camera pipeline to process the second resolution lower IQ images from the plurality of cameras to operate in the CV mode. Substantial power is saved by reducing the resolution of the images using downscaling in the cameras themselves in the CV mode.

Ultra low power camera pipeline for CV in AR systems

A method for correcting a bending of a flexible device is described. In one aspect, the method includes accessing feature data of a first stereo frame that is generated by stereo optical sensors of the flexible device, the feature data generated based on a visual-inertial odometry (VIO) system of the flexible device, accessing depth map data of the first stereo frame, the depth map data generated based on a depth map system of the flexible device, estimating a pitch-roll bias and a yaw bias based on the features data and the depth map data of the first stereo frame, and generating a second stereo frame after the first stereo frame, the second stereo frame based on the pitch-roll bias and the yaw bias of the first stereo frame.

Depth-from-stereo bending correction using visual inertial odometry features

A method for improving the startup time of a six-degrees of freedom tracking system is described. An augmented reality system receives a device initialization request and activates a first set of sensors in response to the device initialization request. The augmented reality system receives first tracking data from the first set of sensors. The augmented reality system receives an augmented reality experience request and in response to the augmented reality request, causes display of a set of augmented reality content items based on the first tracking data and simultaneously activates a second set of sensors. The augmented reality system receives second tracking data from the activated second set of sensors. The augmented reality system updates the display of the set of augmented reality content items based on the second tracking data.

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Vienna, Austria

Matthias Kalkgruber