Magic Leap, Inc.

Suraj Manjunath Shanbhag

Shiuli Das

Yan Xu

Abhishek Narain

Erik Fonseka

Bradley Vincent Stuart

Daniel Farmer

Samuel A Miller

Lionel Ernest Edwin

Edwin Joseph Selker

Ivan Li Chuen Yeoh

Paul M Greco

Jeffrey Scott Sommers

Jung-Suk Lee

Lomesh Agarwal

Yonatan Munk

Sergey Fyodorovich Prokushkin

Ikko Fushiki

Tiejian Zhang

Systems and methods for eye tracking latency enhancements. An example head-mounted system obtains a first image of an eye of a user. The first image is provided as input to a machine learning model which has been trained to generate iris and pupil segmentation data given an image of an eye. A second image of the eye is obtained. A set of locations in the second image at which one or more glints are shown is detected based on iris segmentation data generated for the first image. A region of the second image at which the pupil of the eye of the user is shown is identified based on pupil segmentation data generated for the first image. A pose of the eye of the user is determined based on the detected set of glint locations in the second image and the identified region of the second image.

Eye tracking latency enhancements

Systems and methods for depth plane selection in display system such as augmented reality display systems, including mixed reality display systems, are disclosed. A display(s) may present virtual image content via image light to an eye(s) of a user. The display(s) may output the image light to the eye(s) of the user, the image light to have different amounts of wavefront divergence corresponding to different depth planes at different distances away from the user. A camera(s) may capture images of the eye(s). An indication may be generated based on obtained images of the eye(s), indicating whether the user is identified. The display(s) may be controlled to output the image light to the eye(s) of the user, the image light to have the different amounts of wavefront divergence based at least in part on the generated indication indicating whether the user is identified.

Systems and methods for operating a head-mounted display system based on user identity

Systems and methods for regulating the speed of movement of virtual objects presented by a wearable system are described. The wearable system may present three-dimensional (3D) virtual content that moves, e.g., laterally across the user's field of view and/or in perceived depth from the user. The speed of the movement may follow the profile of an S-curve, with a gradual increase to a maximum speed, and a subsequent gradual decrease in speed until an end point of the movement is reached. The decrease in speed may be more gradual than the increase in speed. This speed curve may be utilized in the movement of virtual objections for eye-tracking calibration. The wearable system may track the position of a virtual object (an eye-tracking target) which moves with a speed following the S-curve. This speed curve allows for rapid movement of the eye-tracking target, while providing a comfortable viewing experience and high accuracy in determining the initial and final positions of the eye as it tracks the target.

Virtual object movement speed curve for virtual and augmented reality display systems

A display system includes a head-mounted display configured to project light, having different amounts of wavefront divergence, to an eye of a user to display virtual image content appearing to be disposed at different depth planes. The wavefront divergence may be changed in discrete steps, with the change in steps being triggered based upon whether the user is fixating on a particular depth plane. The display system may be calibrated for switching depth planes for a main user. Upon determining that a guest user is utilizing the system, rather than undergoing a full calibration, the display system may be configured to switch depth planes based on a rough determination of the virtual content that the user is looking at. The virtual content has an associated depth plane and the display system may be configured to switch to the depth plane of that virtual content.

Depth plane selection for multi-depth plane display systems by user categorization

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San Jose, CA, United States of America

Suraj Manjunath Shanbhag