Abstract: A virtual image display device includes a first acquisition unit configured to acquire a first image from an information terminal, a second acquisition unit configured to acquire a second image different from the first image, a correction unit configured to distort the first image, a generation unit configured to generate a third image or a fourth image including the distorted first image and the second image, and a display element configured to display the third image or the fourth image.

Abstract: A vehicular device capable of providing multiple contents with one user interface includes a synchronization unit configured to synchronize multiple surfaces drawn on multiple physical surfaces different from each other. The synchronization unit loads in the surface drawn on a different physical surface that is different from the physical surface allocated to the synchronization unit, and synchronizes the surface drawn by the synchronization unit and the surface drawn on the different physical surface by processing the surface that is loaded in as the surface drawn by the synchronization unit.

Abstract: A method for generating a virtual model of an object in a patient's anatomy. The method employs a surface scan of an anatomical region of the patient's oral cavity and a volumetric density scan of the anatomical region. The method includes receiving a first dataset of labeled surface scan segments, receiving a second dataset of labeled volumetric density scan segments, cross-mounting in a coordinate system, labeled surface scan segments from the first dataset to labeled volumetric density scan segments from the second dataset, receiving identification of the targeted extraction object, identifying the 3D volumetric density model and the 3D surface model associated with the volumetric density scan segment label, and generating a third dataset comprising and 3D model of a socket, a 3D model of portions of a tooth crown, a 3D model of portions of a target extraction tooth, and/or a 3D model of the extraction contour.

Abstract: The following relates generally to light detection and ranging (LIDAR) and artificial intelligence (AI). In some embodiments, a system: receives LIDAR data generated from a LIDAR camera; measures a plurality of dimensions of a landscape based upon processor analysis of the LIDAR data; builds a 3D model of the landscape based upon the measured plurality of dimensions, the 3D model including: (i) a structure, and (ii) a vegetation; and displays a representation of the 3D model.

Abstract: A method including receiving a prompt describing a desired characteristic of an image. The method further including generating, using a set of encoding models, a prompt encoding based on the prompt. The method further including generating, using a first transformer block of a diffusion transformer model, a first prompt embedding and a first image embedding based on the prompt encoding and a noise input. The method further including generating, using a second transformer block of the diffusion transformer model, a second image embedding based on the first image embedding and the first prompt embedding. The method further including generating the image based on the second image embedding.

Abstract: A method including receiving (S605) a request for a depth map, generating (S625) a hybrid depth map based on a device depth map (110) and downloaded depth information (105), and responding (S630) to the request for the depth map with the hybrid depth map (415). The device depth map (110) can be depth data captured on a user device (515) using sensors and/or software. The downloaded depth information (105) can be associated with depth data, map data, image data, and/or the like stored on a remote (to the user device) server (505).

Abstract: This specification describes systems and methods for refining point cloud data. Methods can include receiving point cloud data for a physical space, iteratively selecting points along an x, y, and z dimension, clustering the selected points into 2D histograms, determining a slope value for each 2D histogram, and removing, based on the slope value exceeding a predetermined value, points from the point cloud data. Methods can also include iteratively voxelizing each 2D histogram into predetermined mesh sizes, summating points in each voxelized 2D histogram, removing, based on determining the summation is below a predetermined sum value, points from the point cloud data, keeping, based on determining that a number of points in each voxelized 2D histogram exceeds a threshold value, a center point, selecting, for each histogram, a point, identifying, nearest neighbors in the point cloud data, removing the identified nearest neighbors from the data, and returning remaining points.

Abstract: A method of generating a user interface includes obtaining input data indicative of respective positions of a plurality of elements within an input plane and generating a model of a surface of a three-dimensional structure. The surface has circular symmetry and includes two curved polar caps and a curved equatorial belt, wherein a curvature of each of the polar caps is greater than a curvature of the equatorial belt. The method includes mapping the elements to respective positions on the model, and determining a position and orientation of a virtual camera, wherein the determined position of the virtual camera is exterior to the model. The method includes determining a field of view of the virtual camera containing a concave interior portion of the model, and rendering a projection of the model corresponding to the determined field of view and comprising elements mapped to positions on the concave interior portion.

Abstract: Various implementations disclosed herein include devices, systems, and methods that present a view of a device user's face portion, that would otherwise be blocked by an electronic device positioned in front of the face, on an outward-facing display of the user's device. The view of the user's face portion may be configured to enable observers to see the user's eyes and facial expressions as if they were seeing through a clear device at the user's actual eyes and facial expressions. Various techniques are used to provide views of the user's face that are realistic, that show the user's current facial appearance, and/or that present the face portion with 3D spatial accuracy, e.g., each eye appearing to be in its actual 3D position. Some implementations combine live data with previously-obtained data, e.g., combining live data with enrollment data.

Abstract: Methods, systems, and a computer program product are disclosed. The first method includes obtaining virtual session data in real time, identifying a positional utterance in the virtual session data, and generating a positional insight for the positional utterance. The first method also includes generating a best-practices recommendation based on the positional insight. The second method includes obtaining virtual session data, identifying positional utterances in the virtual session data, and generating positional insights for each of the positional utterances. The second method also includes selecting each of the positional insights having confidence scores above a threshold score and generating best-practices recommendations based on the selected positional insights.

Abstract: Systems and methods are provided for performing operations on an augmented reality (AR) device using an external screen streaming system. The system establishes, by one or more processors of an AR device, a communication with an external client device. The system causes overlay of, by the AR device, a first AR object on a real-world environment being viewed using the AR device. The system receives, by the AR device, a first image from the external client device. The system, in response to receiving the first image from the external client device, overlays the first image on the first AR object by the AR device.

Abstract: One embodiment of the present invention sets forth a technique for generating actuation values based on a target shape such that the actuation values cause a simulator to output a simulated soft body that matches the target shape. The technique includes inputting a latent code that represents a target shape and a point on a geometric mesh into a first machine learning model. The technique further includes generating, via execution of the first machine learning model, one or more simulator control values that specify a deformation of the geometric mesh, where each of the simulator control values is based on the latent code and corresponds to the input point, and generating, via execution of the simulator, a simulated soft body based on the one or more simulator control values and the geometric mesh. The technique further includes causing the simulated soft body to be outputted to a computing device.

Abstract: Apparatus and method for grouping rays based on quantized ray directions. For example, one embodiment of an apparatus comprises: An apparatus comprising: a ray generator to generate a plurality of rays; ray direction evaluation circuitry/logic to generate approximate ray direction data for each of the plurality of rays; ray sorting circuitry/logic to sort the rays into a plurality of ray queues based, at least in part, on the approximate ray direction data.

Abstract: The present specification describes examples of position-based switching of display devices. An example augmented reality (AR) device includes an AR display device to render display data. The example AR device also includes a wireless communication device to transmit and receive wireless signals. The example AR device further includes a processor to: 1) determine a position of the AR device relative to a computing device based on wireless signals communicated with the computing device; and 2) switch an activity state of the AR display device based on the determined position of the AR device relative to the computing device.

Abstract: In some implementations, a method includes obtaining a virtual object kit that includes a set of virtual object templates of a particular virtual object type. In some implementations, the virtual object kit includes a plurality of groups of components. In some implementations, each of the plurality of groups of components is associated with a particular portion of a virtual object. In some implementations, the method includes receiving a request to assemble a virtual object. In some implementations, the request includes a selection of components from at least some of the plurality of groups of components. In some implementations, the method includes synthesizing the virtual object in accordance with the request.

Abstract: Images of an object may be captured via a camera at a mobile computing device at different viewpoints. The images may be used to identify components of the object and to identify damage estimates estimating damage to some or all of the components. Capture coverage levels corresponding with the components may be determined, and then recording guidance may be provided for capturing additional images to increase the capture coverage levels.

Abstract: Various implementations disclosed herein include devices, systems, and methods that generate a combined 3D representation of a user. For example, a process may include obtaining a first three-dimensional (3D) representation of a first portion of a user. The process may further include obtaining a sequence of frame-specific second 3D representations in a period of time, each of the frame-specific second 3D representations represent a second portion of the user. The process may further include generating a combined 3D representation of the user for the period of time by modifying the first 3D representation with a respective frame-specific second 3D representation.

Abstract: Model data of a virtual model imitating an object model is generated based on photographed data obtained by photographing the object model including a joint structure. A given applied joint structure is applied to the virtual model. The virtual model based on the model data is disposed in a given virtual space. Virtual model management data including the model data and data of the applied joint structure is stored in a predetermined storage section or is externally output as data for causing a joint of the virtual model to function.

Abstract: Implementations relate to updating agricultural records that include inferences gathered by one or more sensors deployed at an agricultural location. The records are matched to mapping tiles of a mapping application and the mapping tile records are updated according to the updated data that was received. Implementations further include identifying parent tiles to each of the updated records, where a parent tile is an aggregation of multiple mapping tiles that can be utilized by a mapping application to render an interface that allows a user to view the data with varying degrees of granularity.

Abstract: A system comprises a processor and a memory having computer readable instructions stored thereon, which, when executed by the processor, cause the system to display an image of a surgical environment. The image includes an information icon corresponding to an instrument in the surgical environment. The instructions further cause the system to display an image of a body part of a user. The image of the body part is used to interact with the information icon. The instructions further cause the system to receive a gesture of the body part, via a gesture-based input device registering movement of the body part, to cause the image of the body part to interact with the information icon. The instructions further cause the system to display an information menu in the image of the surgical environment based on the interaction between the image of the body part and the information icon.