Abstract: Methods and apparatuses (including systems and devices), including computer-implemented methods for segmenting, correcting and/or modifying a three-dimensional (3D) model of a subject's oral cavity to determine individual components such as teeth, gingiva, tongue, palate, etc., that may be selective and/or collectively digitally manipulated. In some implementations, artificial intelligence uses libraries of labeled 2D images and 3D dental models to learn how to segment a 3D dental model of a subject's oral cavity using 2D images, height map and/or other data and projection values that relate the 2D images to the 3D model. As noted herein, the dental classes can include a variety of intra-oral and extra-oral objects and can be represented as binary values, discrete values, a continuum of height map data, etc. In some implementations, several dental classes are predicted concurrently.

Abstract: Various implementations disclosed herein include devices, systems, and methods that provide extended reality (XR) environments that include virtual content anchored to objects within physical environments. Such objects may be movable objects. In some implementations, the virtual content is adaptive in that the virtual content is presented based on a characteristic of the movable object. For example, a virtual game piece may be scaled, shaped, etc. to match a physical game piece to which it is anchored. As another example, a virtual gameboard may be scaled and positioned on a real table such that the edge of the gameboard aligns with the edge of the table and such that a virtual waterfall appears to flow over the edge of the real table.

Abstract: Methods and devices systems related to a computing device for highlighting a tagged object with augmented reality (AR) are described. An example method can include identifying, using a computing device, an object tagged with a sensor within a plurality of objects. The example method can include tracking movement of the object based on communication between the sensor and the computing device and highlighting the object via AR based on the tracking and responsive to a request to locate the object.

Abstract: A base station system includes a base station device (1), a wireless transmission device (2) and a data transfer device (3), each of which can be installed outdoors. Enclosures (12, 22 and 32) of the devices (1-3) each provide a degree of protection from water and dust ingress necessary for being installed outdoors. The enclosure (12) of the base station device (1) accommodates electronic equipment (11) functioning as a base station. The enclosure (22) of the wireless transmission device (2) accommodates electronic equipment (21) functioning as a radio station to perform wireless transmission with the other device for connecting the base station device (1) to a mobile backhaul network. The enclosure (32) of the data transfer device (3) accommodates electronic equipment (31) functioning as a router or a switch to transfer data packets or data flames between the base station device (1) and the wireless transmission device (2).

Abstract: A device including a camera, a processing unit and a screen. The camera configured to, at an updated instant, acquire, by a cellphone or a tablet, an updated image representing a real dental scene. The processing unit configured to determine a virtual dental scene as a representation of the real scene on the updated image and identify an element of the virtual scene which does not comply with an assessment criterion, and highlighting and/or adding a message regarding this element in the virtual scene. The screen configured to display the updated image and present the virtual scene overlaid with the representation of the real scene on the updated image displayed on the screen, in transparent mode or not on the representation. The processing unit, the camera and the screen are configured to communicate with one another. The patient acquires the updated image and observes the screen.

Abstract: An electronic device is provided that includes a first display and a second display. The electronic device also includes a processor configured to allocate a first set of resources to the first display and a second set of resources to the second display. The first set of resources is different from the second set of resources. Each of the first set of resources and the second set of resources includes one or more of at least one available hardware resource and at least one available software resource.

Abstract: Provided herein are method, apparatus, and computer program products for generating a first and second three dimensional interactive environment. The first three dimensional interactive environment may contain one or more engageable virtual interfaces that correspond to one or more items. Upon engagement with a virtual interface the second three dimensional interactive environment is produced to virtual simulation related to the one or more items.

Abstract: This disclosure and exemplary embodiments described herein provide a Parallel Content Authoring Method and Tool for Procedural Guidance, and a Remote Expert Method and System Utilizing Quantitative Quality Assurance in Mixed Reality. The implementation described herein is related to the generation of content/instruction set that can be viewed in different modalities, including but not limited to mixed reality, VR, audio text, however it is to be understood that the scope of this disclosure is not limited to such application.

Abstract: Systems and methods for rendering three-dimensional (3D) scenes having improved visual characteristics from a pair of 2D images having different viewpoints. The 3D scene is created by obtaining a first two-dimensional (2D) image of a scene object from a first viewpoint, obtaining a second 2D image of the scene object from a second viewpoint that is different than the first viewpoint, creating a depth map from the first and second 2D images, creating a 3D scene from the depth map and the first and second 2D images, detecting regions of the initial 3D scene with incomplete image information, reconstructing the detected regions of the 3D scene, determining replacement information and modify the reconstructed regions, and rendering the 3D scene with the modified reconstructed regions from a plurality of viewpoints.

Abstract: Systems and methods include a monitoring system. The monitoring system includes a plurality of camera apparatuses and a server. Each camera apparatus includes a plurality of sensors including an array of image sensors arranged to simultaneously capture a combined 360 degree view thereabout. The server also includes memory storing instructions that, when executed, cause a processor to determine a location for each of the plurality of camera apparatuses, display a map with an icon identifying the location of each of the plurality of camera apparatuses, and display images from the combined 360 degree view, in response to a selection of the icon of a corresponding camera apparatus by a user, from the corresponding camera apparatus selected by the user.

Abstract: An augmented reality (AR) eyewear device has a lens system which includes an optical screening mechanism that enables switching the lens system between a conventional see-through state and an opaque state in which the lens system screens or functionally blocks out the wearer's view of the external environment. Such a screening mechanism allows for expanded use cases of the AR glasses compared to conventional devices, e.g.: as a sleep mask; to view displayed content like movies or sports events against a visually non-distracting background instead of against the external environment; and/or to enable VR functionality.

Abstract: Provided is a method including: associating a virtual display of an object with first media content including a first type media content; associating the virtual display of the object with second media content that includes second type media content; generating a data model that includes the virtual display associated with the first media content and the second media content; and storing the data model in a storage device coupled to the computer system. As such, the method unifies all components (e.g., media content, tags, permissions, descriptions) of the data model—text description and attributes, image, video, and audio—to create a unique, multi-dimensional, transferable digital representation of an idea, memory, or history tied to the object.

Abstract: Systems and methods include a camera apparatus. The camera apparatus includes a mounting base and a plurality of sensors. The mounting base is adapted to mount to a structure. The plurality of sensors includes an array of image sensors arranged to simultaneously capture a combined 360 degree view around the camera apparatus. The plurality of sensors also includes at least one of infrared sensors, sound sensors, and motion sensors.

Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing a program and a method for detecting a pose of a user. The program and method include operations comprising receiving a monocular image that includes a depiction of a body of a user; detecting a plurality of skeletal joints of the body based on the monocular image; accessing a video feed comprising a plurality of monocular images received prior to the monocular image; filtering, using the video feed, the plurality of skeletal joints of the body detected based on the monocular image; and determining a pose represented by the body depicted in the monocular image based on the filtered plurality of skeletal joints of the body.

Abstract: A mobile communication device comprises an electronic circuit configured to determine a location of a user, transmit a query request to a computerized virtual real estate directory system, and receive therefrom a query response. The query response comprises one or more virtual real estate objects assigned to a virtual real estate object location within a predefined region around the user. The mobile communication device transmits for at least one particular virtual real estate object a content request to an augmented reality content server 5 defined in the query response. The mobile communication device receives from the augmented reality content server augmented reality content and plays the augmented reality content for the particular virtual real estate object.

Abstract: A dyslexia conversion system generates, via dyslexia conversion, dyslexia converted text for display via a display device, wherein the dyslexia conversion operates by: partitioning the set of characters into subsets of non-dyslexia-conflicting characters, wherein a union of the subsets of non-dyslexia-conflicting characters is the set of characters and wherein an intersection between each pair of the subsets of non-dyslexia-conflicting characters is a null set; assigning to each of the subsets of non-dyslexia-conflicting characters, at least one of a plurality of colors; mapping each character of the input text to a corresponding one of the subsets of non-dyslexia-conflicting characters; and generating the dyslexia converted text by rendering each character of the input text in accordance with the at least one of the plurality of colors assigned to the corresponding one of the subsets of non-dyslexia-conflicting characters.

Abstract: Provided is a method and apparatus for animation rendering, an electronic device, and a storage medium. The method for animation rendering includes: in a vertex animation mode, acquiring vertex position information and normal information from a same first texture file, wherein the vertex position information occupies a part of an R channel, a part of a G channel and a part of a B channel, and the normal information occupies another part of the R channel, another part of the G channel, another part of the B channel, and an A channel; and performing animation rendering according to the vertex position information and the normal information.

Abstract: The disclosed computer-implemented method may include establishing a virtual boundary for a virtual-world environment in reference to a real-world environment, and determining whether the virtual boundary requires a correction. The method may include providing, in response to determining that the virtual boundary requires the correction, and alert and, in response to the alert, receiving a request from a user to modify the virtual boundary. The method may further include monitoring, in response to the request from the user, an orientation of a direction indicator to generate orientation data, and modifying the virtual boundary based on the orientation data. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: The subject technology displays first augmented reality content on a computing device, the first augmented reality content comprising a first output media content. The subject technology provides for display a plurality of selectable graphical items, each of the selectable graphical items corresponding to a different augmented reality content including a set of media content modified utilizing facial synthesis. The subject technology receives a selection of one of the plurality of selectable graphical items. The subject technology, based at least in part on the selection, identifies second augmented reality content. The subject technology provides the second augmented reality content for display on the computing device.

Abstract: Methods and systems are disclosed for performing operations for applying augmented reality elements to a person depicted in an image. The operations include receiving an image that includes data representing a depiction of a person; generating a segmentation of the data representing the person depicted in the image; extracting a portion of the image corresponding to the segmentation of the data representing the person depicted in the image; applying a machine learning model to the portion of the image to predict a surface normal tensor for the data representing the depiction of the person, the surface normal tensor representing surface normals of each pixel within the portion of the image; and applying one or more augmented reality (AR) elements to the image based on the surface normal tensor.