Abstract: A vehicle display control device includes a processor configured to execute computer-readable instructions to perform. The processor is configured to estimating curvature of a road on which a host vehicle will travel based on at least an output of a detection device that detects a target object present in a traveling direction of the host vehicle, causing a display device to display a surrounding situation display image including a host vehicle icon representing the host vehicle and an image of a road marking whose shape is determined based on the curvature, and decreasing reference curvature of the image of the road marking included in the surrounding situation display image if a prescribed condition is satisfied.

Abstract: Disclosed is a location tracking system and associated methods for precisely locating a target device with a recipient device via different forms of location tracking and augmented reality. The recipient device receives a first position of the target device over a data network. The recipient device is moved according to the first position until the target device is in Ultra-WideBand (“UWB”) signaling range of the recipient device. The recipient device then measures a distance and direction of the target device relative to the recipient device based on Time-of-Flight (“ToF”) measurements generated from the UWB signaling. The recipient device determines a second position of the target device based on the distance and direction of the target device, and generates an augmented reality view with a visual reference at a particular position in images of a captured scene that corresponds to the second position of the target device.

Abstract: A computer-implemented method includes receiving a 3D model representative of upper teeth (U1) of a patient (P) and receiving a plurality of images of a face of the patient (P). The method also includes generating a facial model (200) of the patient based on the received plurality of images and determining, based on the determined facial model (200), the received 3D model of 10 the upper teeth (U1) and the plurality of images, a spatial relationship between the upper teeth (U1) of the patient (P) and a facial skeleton of the patient (P).

Abstract: Devices, systems, and methods include a three-dimensional (3D) scanning element, an electronic data storage configured to store a database including fields for 3D scan data and demographic information, a processor, and a user interface. In an example, the processor obtains 3D scan data of a body part of a subject from the 3D scanning element, analyzes the 3D scan data for incomplete regions, generate a composite 3D image of 3D scan data from the database based on similarities of demographic information, and overlays composite 3D image regions corresponding to incomplete regions on the 3D scan data.

Abstract: Embodiments described herein provide a process and method running on a computer for creating an augmented image. According to an embodiment, a graphical user interface gathers data that is programmatically analyzed to obtain photographic properties from a first image. Photographic properties are provided to a user for obtaining a second image containing a fiducial mark. The second image is programmatically analyzed to obtain photographic properties. The first image and the second image are programmatically analyzed and processed to produce an augmented image.

Abstract: An example operation may include one or more of generating a three-dimensional (3D) model of an object via execution of a machine learning model on one or more images of the object, capturing a plurality of snapshots of the 3D model of the object at different angles to generate a plurality of snapshot images of the object, fusing a feature into each of the plurality of snapshots to generate a plurality of fused snapshots of the 3D model of the object, and storing the plurality of fused snapshots of the 3D model of the object in memory.

Abstract: The embodiments of the present disclosure relate to the field of communication technology, and disclose a grid map generation method and device, and a computer-readable storage medium. The grid map generation method includes: acquiring original image data of an original image photographed by a photographing device and pose data of the photographing device when photographing the original image; inputting the original image data and the pose data into a preset learning model to obtain first image data, wherein the preset learning model performs a first dynamic object filtering on the original image data according to the pose data to obtain the first image data; fusing the first image data and the pose data into the preset learning model to obtain a fusion learning model; and obtaining a grid map of the original image data according to the fusion learning model and the pose data.

Abstract: A computerized method comprising acquiring an image of a physical environment comprising one or more physical entities, generating a virtual view based on the acquired image, and displaying the virtual view overlaid on the acquired image. The method further comprises receiving user input being indicative of a placement location within the virtual view, and receiving user input for creating a virtual bounding volume within the virtual view. The method further comprises manipulating the virtual bounding volume based on one or more intersections in 3D space between the virtual bounding volume and 3D data corresponding to the one or more physical entities, displaying the manipulated virtual bounding volume, and displaying at least one 3D object model that fits the manipulated virtual bounding volume.

Abstract: In some implementations, a method includes obtaining a semantic construction of a physical environment. In some implementations, the semantic construction of the physical environment includes a representation of a physical element and a semantic label for the physical element. In some implementations, the method includes obtaining a graphical representation of the physical element. In some implementations, the method includes synthesizing a perceptual property vector (PPV) for the graphical representation of the physical element based on the semantic label for the physical element. In some implementations, the PPV includes one or more perceptual characteristic values characterizing the graphical representation of the physical element. In some implementations, the method includes compositing an affordance in association with the graphical representation of the physical element.

Abstract: A tile-based graphics system has a rendering space sub-divided into a plurality of tiles which are to be processed. Graphics data items, such as parameters or texels, are fetched into a cache for use in processing one of the tiles. Indicators are determined for the graphics data items, whereby the indicator for a graphics data item indicates the number of tiles with which that graphics data item is associated. The graphics data items are evicted from the cache in accordance with the indicators of the graphics data items. For example, the indicator for a graphics data item may be a count of the number of tiles with which that graphics data item is associated, whereby the graphics data item(s) with the lowest count(s) is (are) evicted from the cache.

Abstract: A method for managing a multi-user animation platform is disclosed. A three-dimensional space within a computer memory is modeled. An avatar of a client is located within the three-dimensional space, the avatar being graphically represented by a three-dimensional figure within the three-dimensional space. The avatar is responsive to client input commands, and the three-dimensional figure includes a graphical representation of client activity. The client input commands are monitored to determine client activity. The graphical representation of client activity is then altered according to an inactivity scheme when client input commands are not detected. Following a predetermined period of client inactivity, the inactivity scheme varies non-repetitively with time.

Abstract: A computer system displays a representation of a field of view of the one or more cameras, including a representation of a portion of a three-dimensional physical environment that is in the field of view of the one or more cameras. The computer system receives a request to add a first virtual effect to the displayed representation of the field of view of the one or more cameras. In response to receiving the request to add the first virtual effect to the displayed representation of the field of view of the one or more cameras and in accordance with a determination that the first virtual effect requires a scan of the physical environment, the computer system initiates a scan of the physical environment to detect one or more features of the physical environment and displays a user interface that indicates a progress of the scan of the physical environment.

Abstract: A modeling method and apparatus based on point cloud data, an electronic device, and a storage medium are provided, and relate to the field of three-dimensional panoramic technologies. The modeling method based on point cloud data includes: obtaining three-dimensional point cloud information collected by a point cloud collection device from a scanned target, a first time information, first rotation position information of an electric motor, and a second time information; determining second rotation position information based on the first time information and the second time information; and obtaining position information of the scanned target based on the three-dimensional point cloud information and the second rotation position information, to construct a three-dimensional panoramic model corresponding to the scanned target.

Abstract: Processes, systems, and devices generate a training set comprising a first presentation having a first visual aid and a first audio description. The first visual aid and the first audio description are based on initial data retrieved from a first data source using a first indexing technique. The machine-learning system is trained using the first presentation and the initial data retrieved from the first data source using the first indexing technique. The machine-learning system generates a second presentation having a second visual aid and a second audio description. The second visual aid and the second audio description are based on refreshed data retrieved from the first data source using the first indexing technique. The machine-learning system presents the second presentation via an avatar in a virtual meeting room. The avatar is generated by the machine-learning system to present the second visual aid and the second audio description.

Abstract: In order to guide the user to a target object that is located outside of the field of view of the wearer of the AR computing device, a rotational navigation system displays on a display device an arrow or a pointer, referred to as a direction indicator. The direction indicator is generated based on the angle between the direction of the user's head and the direction of the target object, and a correction coefficient. The correction coefficient is defined such that the greater the angle between the direction of the user's head and the direction of the target object, the greater is the horizontal component of the direction indicator.

Abstract: Augmented reality eyewear are provided removing need to aim-down-sight while using a firearm. Eyewear have accelerometer sensors outputting a “view angle” that is compared with line of sight or “head angle” and true horizon. A camera system outputs the target distance. A firearm equipped with one or more accelerometers output a trajectory. With the firearm and goggles within an arms length proximity of one another, data points can be combined to create a full 3D spacial image of the bullet's path. Target distance determines the length of the trajectory and “termination coordinates” describing the projectile's target in space relative to the user's personal coordinate system (i.e., view angle). Relative termination coordinates can then be delivered to the goggle drivers. The termination coordinates are converted to a pixel command generating an illuminated aiming reticle that corresponds with the direction a firearm is pointing and overlaid on the target.

Abstract: An exercise instruction apparatus for guiding a user to perform a fitness exercise includes a control unit and a display device. The control unit is configured to control a video imagery displayed by the display device. The video imagery shows an instructor image and a user image simultaneously. The instructor image demonstrates movements of the fitness exercise and the user image presented in a mirror image is a real-time image of the user standing in front of the display device. The control unit is configured to adjust at least one image parameters such as brightness, transparency or contrast of at least one of the instructor image and the user image. The image parameter that is adjusted for the instructor image may be a different parameter than the image parameter that is adjusted for the user image. The instructor image may be overlapped on the user image, and the user can adjust the transparency of at least one of the first image and the second image.

Abstract: Provided is a method for 3D modeling based on an irregular-shaped sketch, in which the method is executed by one or more processors, and includes receiving 2D sketch data of a target object, inputting the 2D sketch data into a 3D model generation model to generate a 3D model of the target object, and displaying the generated 3D model on a display.

Abstract: Methods and systems are disclosed for performing operations comprising: receiving a video that includes a depiction of a real-world object; generating a three-dimensional (3D) body mesh associated with the real-world object that tracks movement of the real-world object across frames of the video; obtaining an external mesh associated with an augmented reality element; automatically establishing a correspondence between the 3D body mesh associated with the real-world object and the external mesh; deforming the external mesh based on movement of the real-world object and the established correspondence with the 3D body mesh; and modifying the video to include a display of the augmented reality element based on the deformed external mesh.

Abstract: An image processing method and a computer system. The method may be applied to a cloud-side server in a cloud mobile phone. The server may be a virtualization server, a host operating system and a guest operating system are deployed on the server, a user mode graphics driver is deployed in the guest operating system, and a kernel mode graphics driver is deployed in the host operating system. The user mode graphics driver and the kernel mode graphics driver collaborate with each other to implement image rendering of the server. Then, the server may send a rendered image to the cloud mobile phone. Accordingly, an instruction translation process is reduced, to reduce overheads of a processor and improve image processing efficiency.