Abstract: A method to reconstruct an environment is provided. The method makes available to a wide variety of XR applications fresh and accurate 3D reconstruction data of environments with low processing time and low usage of computational resources and storage spaces. The 3D reconstruction data are structured in a way to be efficiently shared between users for multi-user experiences. The method includes obtaining plane segments of an environment, identifying surface planes of the environment by, for example, filtering and grouping the plane segments or ad hoc selection of the plane segments by a user, and inferring corner points of the environment based on the surface planes. The corner points are used to build a 3D representation of the environment when an XR application requires.

Abstract: A method to reconstruct an environment is provided. The method makes available to a wide variety of XR applications fresh and accurate 3D reconstruction data of environments with low processing time and low usage of computational resources and storage spaces. The 3D reconstruction data are structured in a way to be efficiently shared between users for multi-user experiences. The method includes obtaining plane segments of an environment, identifying surface planes of the environment by, for example, filtering and grouping the plane segments or ad hoc selection of the plane segments by a user, and inferring corner points of the environment based on the surface planes. The corner points are used to build a 3D representation of the environment when an XR application requires.

Abstract: A method to reconstruct an environment is provided. The method makes available to a wide variety of XR applications fresh and accurate 3D reconstruction data of environments with low processing time and low usage of computational resources and storage spaces. The 3D reconstruction data are structured in a way to be efficiently shared between users for multi-user experiences. The method includes obtaining plane segments of an environment, identifying surface planes of the environment by, for example, filtering and grouping the plane segments or ad hoc selection of the plane segments by a user, and inferring corner points of the environment based on the surface planes. The corner points are used to build a 3D representation of the environment when an XR application requires.

Abstract: Systems and methods for eye tracking calibration in a wearable system are described. The wearable system can present three-dimensional (3D) virtual content and allow a user to interact with the 3D virtual content using eye gaze. During an eye tracking calibration, the wearable system can validate that a user is indeed looking at a calibration target while the eye tracking data is acquired. The validation may be performed based on data associated with the user's head pose and vestibulo-ocular reflex.

Abstract: Systems and methods for eye tracking calibration in a wearable system are described. The wearable system can present three-dimensional (3D) virtual content and allow a user to interact with the 3D virtual content using eye gaze. During an eye tracking calibration, the wearable system can validate that a user is indeed looking at a calibration target while the eye tracking data is acquired. The validation may be performed based on data associated with the user's head pose and vestibulo-ocular reflex.

Abstract: Systems and methods for eye tracking calibration in a wearable system are described. The wearable system can present three-dimensional (3D) virtual content and allow a user to interact with the 3D virtual content using eye gaze. During an eye tracking calibration, the wearable system can validate that a user is indeed looking at a calibration target while the eye tracking data is acquired. The validation may be performed based on data associated with the user's head pose and vestibulo-ocular reflex.

Abstract: A method to reconstruct an environment is provided. The method makes available to a wide variety of XR applications fresh and accurate 3D reconstruction data of environments with low processing time and low usage of computational resources and storage spaces. The 3D reconstruction data are structured in a way to be efficiently shared between users for multi-user experiences. The method includes obtaining plane segments of an environment, identifying surface planes of the environment by, for example, filtering and grouping the plane segments or ad hoc selection of the plane segments by a user, and inferring corner points of the environment based on the surface planes. The corner points are used to build a 3D representation of the environment when an XR application requires.

Abstract: Systems and methods for eye tracking calibration in a wearable system are described. The wearable system can present three-dimensional (3D) virtual content and allow a user to interact with the 3D virtual content using eye gaze. During an eye tracking calibration, the wearable system can validate that a user is indeed looking at a calibration target while the eye tracking data is acquired. The validation may be performed based on data associated with the user's head pose and vestibulo-ocular reflex.

Abstract: Systems and methods for eye tracking calibration in a wearable system are described. The wearable system can present three-dimensional (3D) virtual content and allow a user to interact with the 3D virtual content using eye gaze. During an eye tracking calibration, the wearable system can validate that a user is indeed looking at a calibration target while the eye tracking data is acquired. The validation may be performed based on data associated with the user's head pose and vestibulo-ocular reflex.

Abstract: Systems and methods for eye tracking calibration in a wearable system are described. The wearable system can present three-dimensional (3D) virtual content and allow a user to interact with the 3D virtual content using eye gaze. During an eye tracking calibration, the wearable system can validate that a user is indeed looking at a calibration target while the eye tracking data is acquired. The validation may be performed based on data associated with the user's head pose and vestibulo-ocular reflex.