Abstract: An augmented reality device generates an updated position and orientation (pose) value by initially determining, using image-based processing, a pose estimate from a current image frame, a previous image frame and a previous pose. An IMU pose is then obtained from data generated by an inertial measurement unit including motion sensors, and transformation between the pose estimate and the IMU pose is determined. The transformation is applied to the pose estimate to generate a pose update. Media content is applied to a position within an image, the position being based on the pose update.

Abstract: Methods, systems, and devices for generating a persistent world-space ground (or floor) segmentation map (or “texture”) for use in augmented or virtual reality 3D experiences.

Abstract: An augmented reality device generates an updated position and orientation (pose) value by initially determining, using image-based processing, a pose estimate from a current image frame, a previous image frame and a previous pose. An IMU pose is then obtained from data generated by an inertial measurement unit including motion sensors, and transformation between the pose estimate and the IMU pose is determined. The transformation is applied to the pose estimate to generate a pose update. Media content is applied to a position within an image, the position being based on the pose update.

Abstract: Methods, systems, and devices for generating a persistent world-space ground (or floor) segmentation map (or “texture”) for use in augmented or virtual reality 3D experiences.

Abstract: A depth estimation system to perform operations that include: receiving image data generated by a client device, the image data comprising a depiction of an environment; identifying a set of image features based on the image data; determining a pose of the client device based on the set of features; generating a depth estimation based on the image data and the pose of the client device; and generating a mesh model of the environment based on the depth estimation.

Abstract: Methods, systems, and devices for generating a persistent world-space ground (or floor) segmentation map (or “texture”) for use in augmented or virtual reality 3D experiences.

Abstract: Methods, systems, and devices for generating a persistent world-space ground (or floor) segmentation map (or “texture”) for use in augmented or virtual reality 3D experiences.

Abstract: An augmented reality device generates an updated position and orientation (pose) value by initially determining, using image-based processing, a pose estimate from a current image frame, a previous image frame and a previous pose. An IMU pose is then obtained from data generated by an inertial measurement unit including motion sensors, and transformation between the pose estimate and the IMU pose is determined. The transformation is applied to the pose estimate to generate a pose update. Media content is applied to a position within an image, the position being based on the pose update.

Abstract: Methods, systems, and devices for generating a persistent world-space ground (or floor) segmentation map (or “texture”) for use in augmented or virtual reality 3D experiences.