Snap Inc.

Branislav Micusik

Georgios Evangelidis

Daniel Wagner

Daniel Wolf

Ilteris Kaan Canberk

Sagi Katz

Kai Zhou

Bernhard Jung

Nathan Litke

Jakob Zillner

Ramzi Zahreddine

Márton Gergely Kajtár

Balázs Tóth

A method for aligning coordinate systems from separate augmented reality (AR) devices is described. In one aspect, the method includes generating predicted depths of a first point cloud by applying a pre-trained model to a first single image generated by a first monocular camera of a first augmented reality (AR) device, and first sparse 3D points generated by a first SLAM system at the first AR device, generating predicted depths of a second point cloud by applying the pre-trained model to a second single image generated by a second monocular camera of the second AR device, and second sparse 3D points generated by a second SLAM system at the second AR device, determining a relative pose between the first AR device and the second AR device by registering the first point cloud with the second point cloud.

Fast AR device pairing using depth predictions

A method for generating a virtual selfie stick image is described. In one aspect, the method includes generating, at a device, an original self-portrait image with an optical sensor of the device, the optical sensor directed at a face of a user of the device, the device being held at an arm length from the face of the user, displaying, on a display of the device, an instruction guiding the user to move the device at the arm length about the face of the user within a limited range at a plurality of poses, accessing, at the device, image data generated by the optical sensor at the plurality of poses, and generating a virtual selfie stick self-portrait image based on the original self-portrait image and the image data.

Virtual selfie stick

Eyewear providing an interactive augmented reality experience between two eyewear devices by using alignment between respective 6DOF trajectories, also referred to herein as ego motion alignment. An eyewear device of user A and an eyewear device of user B track the eyewear device of the other user, or an object of the other user, such as on the user's face, to provide the collaborative AR experience. This enables sharing common three-dimensional content between multiple eyewear users without using or aligning the eyewear devices to common image content such as a marker, which is a more lightweight solution with reduced computational burden on a processor. An inertial measurement unit may also be used to align the eyewear devices.

Collaborative augmented reality eyewear with ego motion alignment

A method for aligning coordinate systems of user devices in an augmented reality system using somatic points of a user's hand as alignment markers. Images captured from multiple user devices are used to align the reference coordinate systems of the user devices to a common reference coordinate system. In some examples, user devices capture images of a hand of a user and use object recognition to identify somatic points as alignment markers. The somatic points of a user device are translated to a common reference coordinate system determined by another user device.

Shared augmented reality eyewear device with hand tracking alignment

A method for carving a 3D space using hands tracking is described. In one aspect, a method includes accessing a first frame from a camera of a display device, tracking, using a hand tracking algorithm operating at the display device, hand pixels corresponding to one or more user hands depicted in the first frame, detecting, using a sensor of the display device, depths of the hand pixels, identifying a 3D region based on the depths of the hand pixels, and applying a 3D reconstruction engine to the 3D region.

3D space carving using hands for object capture

Eyewear having unsynchronized rolling shutter (RS) cameras such that images produced by each camera are unaligned, and a state that includes velocity and gravity orientation in the eyewear's reference system is calculated. The state is not limited to these two parameters as other parameters such as the acceleration bias, the gyroscope bias, or both may be included. Math solvers are used such that processing time to calculate the velocity and gravity orientation are acceptable. Arranging the RS cameras in an unsynchronized configuration allows estimating the motion of the eyewear from just one stereo image pair and removes the requirement of possessing more images.

Eyewear having unsynchronized rolling shutter cameras

A method for AR-guided depth estimation is described. The method includes identifying a virtual object rendered in a first frame that is generated based on a first pose of an augmented reality (AR) device, determining a second pose of the AR device, the second pose following the first pose, identifying an augmentation area in the second frame based on the virtual object rendered in the first frame, and the second pose, determining depth information for the augmentation area in the second frame, and rendering the virtual object in the second frame based on the depth information.

Augmented reality guided depth estimation

A method for detecting changes in a scene includes accessing a first set of images and corresponding pose data in a first coordinate system associated with a first user session of an augmented reality (AR) device and accessing a second set of images and corresponding pose data in a second coordinate system associated with a second user session. The method identifies the first set of images corresponding to a second image from the second set of images based on the pose data of the first set of images being determined spatially closest to the pose data of the second image after aligning the first coordinate system and the second coordinate system. A trained neural network generates a synthesized image from the first set of images. Features of the second image are subtracted from features of the synthesized image. Area of changes are identified based on the subtracted features.

Scene change detection with novel view synthesis

An eXtended Reality (XR) display system includes a Light Emitting Diode (LED) display controller, and a Light Emitting Diode (LED) near-eye display element operatively coupled to the LED display driver. The LED near-eye display element includes one or more motors and an LED array operably connected to the one or more motors. During operation, the LED display driver receives video data including a rendered virtual object of an XR experience and generates LED array control signals based on the video data, the LED array control signals causing one or more LEDs of the LED array to be energized in a sequence. The LED display driver also generates synchronized motor control signals and simultaneously communicates the LED array control signals to the LED array and the synchronized motor control signals to the one or more motors causing the LED near-eye display element to display the rendered virtual object.

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St. Andrae-Woerdern, Austria

Branislav Micusik