Abstract: The utilization of drones, mixed reality displays, novel networking techniques, advanced networking techniques (e.g., edge computing), and AI-driven data fusion and visualization. This combination of technologies is employed in tandem to provide advanced data visualization capabilities in mixed reality displays, primarily for usage between multiple devices including mixed reality displays, drones, and other systems that would support networking and data collection capabilities. These capabilities are primarily intended for usage between multiple mixed reality displays, although could be applied to robots, autonomous vehicles, guidance systems, weapon systems, and detection systems.

Abstract: An identification system has one or more sensing devices each having an identifier, and an individual identification apparatus for performing individual identification of the devices. The devices are each provided with a visual confirmation part that can be visually confirmed from the outside. The individual identification apparatus is provided with an image identification means capable of identifying the visual confirmation parts of the devices as image information. The display content of the visual confirmation parts is read by the image identification means to acquire the identifiers.

Abstract: This application discloses a method for rendering a projection of a main control object in a virtual environment performed by a computer device and relates to the technical field of animation. The method includes: obtaining an original bone model of the main control object from an animation blueprint of the main control object; obtaining a projection model based on the original bone model and a posture of the main control object; generating a projection of the main control object in the virtual environment based on the projection model; and rendering the projection of the main control object in the virtual environment.

Abstract: A display process method, a data analysis apparatus, and a program are provided that allow a plurality of pieces of data obtained after an analysis to be readily rearranged and displayed. The display process method includes: acquiring the plurality of pieces of data from a data file; arranging and displaying a plurality of gel images in a predetermined order, the plurality of gel images corresponding to the acquired plurality of respective pieces of data; making an inquiry to a user as to whether or not to rearrange and display the plurality of gel images in order of display, the order of display being different from the predetermined order; and rearranging and displaying the plurality of gel images in the order of display.

Abstract: Techniques for intelligently repositioning a hologram for an object in a scene based on a past condition of the object and/or a planned future condition of the object are disclosed. A hologram is identified for an object in a scene. Identifying the hologram includes identifying a current location of the hologram within the scene. Time-based data associated with the object is accessed. The time-based data includes at least one of a past condition of the object or a planned future condition of the object. A new location for the hologram is selected within the scene. This selection is based on the time-based data. The hologram is then repositioned to the new location.

Abstract: Systems, apparatuses (or devices), methods, and computer-readable media are provided for generating virtual content. For example, a device (e.g., an extended reality device) can obtain an image of a scene of a real-world environment, wherein the real-world environment is viewable through a display of the extended reality device as virtual content is displayed by the display. The device can detect at least a part of a physical hand of a user in the image. The device can generate a virtual keyboard based on detecting at least the part of the physical hand. The device can determine a position for the virtual keyboard on the display of the extended reality device relative to at least the part of the physical hand. The device can display the virtual keyboard at the position on the display.

Abstract: The goal of computer generated holography (CGH) is to synthesize custom illumination patterns by shaping the wavefront of a coherent light beam. Existing algorithms for CGH rely on iterative optimization with a fundamental trade-off between hologram fidelity and computation speed, making them inadequate for high-speed holography applications such as optogenetic photostimulation, optical trapping, or virtual reality displays. We propose a new algorithm, DeepCGH, that relies on a convolutional neural network to eliminate iterative exploration and rapidly synthesize high resolution holograms with fixed computational complexity. DeepCGH is an unsupervised model which can be tailored for specific tasks with customizable training data sets and an explicit cost function. Results show that our method computes 3D holograms at record speeds and with better accuracy than existing techniques.

Abstract: Described herein are systems and methods for structure scan using an unmanned aerial vehicle. For example, some methods include accessing a three-dimensional map of a structure; generating facets based on the three-dimensional map, wherein the facets are respectively a polygon on a plane in three-dimensional space that is fit to a subset of the points in the three-dimensional map; generating a scan plan based on the facets, wherein the scan plan includes a sequence of poses for an unmanned aerial vehicle to assume to enable capture, using image sensors of the unmanned aerial vehicle, of images of the structure; causing the unmanned aerial vehicle to fly to assume a pose corresponding to one of the sequence of poses of the scan plan; and capturing one or more images of the structure from the pose.

Abstract: Techniques are described for using computing devices to perform automated operations related to providing visual information of multiple types in an integrated manner about a building or other defined area. The techniques may include generating and presenting a GUI (graphical user interface) on a client device that includes a computer model of the building's interior with one or more first types of information (e.g., in a first pane of the GUI), and simultaneously presenting other types of related information about the building interior (e.g., in additional separate GUI pane(s)) that is coordinated with the first type(s) of information being currently displayed. The computer model may be a 3D (three-dimensional) or 2.5D representation generated after the house is built and showing the actual house's interior (e.g., walls, furniture, etc.), and may be displayed to a user of a client computing device in a displayed GUI with various user-selectable controls.

Abstract: Techniques are described herein for an interactive user interface for feature engineering and data processing on geospatial maps. A method includes: receiving user input indicating a selection of a first agricultural data source; receiving user input indicating a geometry on a map, the geometry defining a geographic region on which to perform at least one operation; receiving user input defining the at least one operation to be performed on the geographic region; generating an agricultural analysis request based on the first agricultural data source, the geometry, and the the at least one operation to be performed on the geographic region; decoding the agricultural analysis request to generate an operation tree including a plurality of operation nodes; executing each of the operation nodes to generate an agricultural analysis result corresponding to the geographic region; and displaying a visual representation based on the agricultural analysis result corresponding to the geographic region.

Abstract: A method includes: receiving a first event, where the first event is used to trigger image quality adjustment of a splicing display; sending N reference pictures including a first reference picture to the splicing display in response to the first event; receiving a first photo obtained by photographing an entire display area of the splicing display when the splicing display displays the first reference picture in full screen as a whole; and generating a first image quality adjustment parameter and a second image quality adjustment parameter based on the first reference picture and the first photo, where the first image quality adjustment parameter and the second image quality adjustment parameter is used to adjust image quality of the first and second display respectively.

Abstract: The disclosed system receives a request from a user to interact with an agent of a wireless telecommunication network including a 5G wireless telecommunication network or higher generation wireless telecommunication network. The system determines whether the user is associated with a first AR/VR device including a camera configured to capture an object proximate to the first AR/VR device and a display configured to show a virtual object, which is not part of a surrounding associated with the first AR/VR device. Upon determining that the user is associated with the first AR/VR device, the system creates a high-bandwidth communication channel over the wireless telecommunication network between the first AR/VR device and a second AR/VR device and a virtual room enabling the user and the agent to share visual information over the high-bandwidth communication channel.

Abstract: A method of generating an image sample, which relates to a field of an artificial intelligence technology, in particular to fields of a deep learning technology and a computer vision technology. The method includes: generating a handwritten text image according to at least one handwritten sample image; and generating a target sample image with an annotation box according to the handwritten text image and a background image, where the annotation box is used to represent a region in which the handwritten text image is located in the background image. The present disclosure further provides a method of recognizing a text, an electronic device and a storage medium.

Abstract: Ways to post-process a decoded mesh and modify received triangles per patch to improve the mesh geometry are described herein. Since the transmitted geometry contains the high-resolution surface information, the information is able to be applied to the mesh reconstruction operation to generate triangles that are aligned with the original surface. Methods include generating new triangles by splitting the received triangles' edges according to their size, by inserting new vertices at the triangle's centroids, by splitting the vertices, and by performing marching cubes in surfaces defined by the geometry images.

Abstract: Devices and techniques are described for augmented reality virtual makeup try-on. In some examples, first image data representing at least a portion of a human face may be received. A selection of a first virtual makeup asset from a first catalog entry may be received. A first color value and a first finish type of the first virtual makeup asset may be determined. The first color value may be predicted from an image of the first virtual makeup asset in the first catalog entry. The first finish type may be predicted from first text data included in the first catalog entry. A first 3D model of an application of the first virtual makeup asset may be generated based on a 3D mesh of at least the portion of the human face. Second image data may be generated based on the first 3D model and the first image data.

Abstract: A method to culling parts of a 3D reconstruction volume is provided. The method makes available to a wide variety of mobile XR applications fresh, accurate and comprehensive 3D reconstruction data with low usage of computational resources and storage spaces. The method includes culling parts of the 3D reconstruction volume against a depth image. The depth image has a plurality of pixels, each of which represents a distance to a surface in a scene. In some embodiments, the method includes culling parts of the 3D reconstruction volume against a frustum. The frustum is derived from a field of view of an image sensor, from which image data to create the 3D reconstruction is obtained.

Abstract: Provided is an information processing apparatus, and an information processing method in which data of content is acquired, and a first visual field image corresponding to a visual field of a first user is cut out from a content image based on the data of the content. In addition, visual field information representing a visual field of a second user viewing the content image is acquired. Furthermore, in a display apparatus, the first visual field image is displayed, and the visual field of the second user is displayed based on the visual field information of the second user.

Abstract: Examples described herein provide a method that includes capturing data about an environment. The method further includes generating a database of two-dimensional (2D) features and associated three-dimensional (3D) coordinates based at least in part on the data about the environment. The method further includes determining a position (x, y, z) and an orientation (pitch, roll, yaw) of a device within the environment based at least in part on the database of 2D features and associated 3D coordinates. The method further includes causing the device to display, on a display of the device, an augmented reality element at a predetermined location based at least in part on the position and the orientation of the device.

Abstract: Individual nodes of a plurality of nodes can be fixed to the architectural structure and associated with a different segment of a plurality of segments of a first model of an architectural structure. Positional data associated with the nodes can be received. A structural change to the architectural structure can be estimated based on a comparison of positional data associated with the nodes. A second model representing the architectural structure as modified by the structural change can be generated. The second model can be generated based on (i) the first model and (ii) the estimated change to the architectural structure.

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.