Abstract: An electronic device is provided. The electronic device includes a hinge structure, a first housing, a second housing, a first display, a second display, and a processor. The processor may be set to control the first display to display a first screen of a first application while in a folded state, the first screen corresponding to the first display, control the second display to display a transition screen when unfolding is detected, and control the second display to display a second screen in replacement of the transition screen upon the completion of at least one operation set to be performed in order to display the second screen, corresponding to the second display, of the first application.

Abstract: Systems, methods, and devices relating to dynamic virtual element positioning in an augmented reality (AR) environment are described herein. In a method, a viewport may be output by a computing device and may comprise a virtual element and at least a portion of a scene captured by a camera associated with the computing device. A movement of the at least a portion of the scene in the viewport may be determined. An offset focal point along at least a portion of an axis of the virtual element may be determined that is the closest to a viewport focal point at the vertical and horizontal center of the viewport. The virtual element may be positioned in the viewport based on the movement of the at least a portion of the scene in the viewport and a distance between the offset focal point and the viewport focal point.

Abstract: Systems and methods for compositing real-world video with a virtual object are disclosed. In one embodiment the system includes a processor; and a computer-readable non-transitory storage medium, the medium encoded with instructions that when executed cause the processor to perform operations including receiving video of a video capture region from a camera coupled to an unmanned vehicle; obtaining a map representation of the video capture region; placing the virtual object into the map representation; rendering the video with the virtual object to generate a rendered video; displaying the rendered video; and based on an elevation of the unmanned vehicle, updating the virtual object to transition between a top view of the virtual object and an elevation view or perspective view of the virtual object.

Abstract: An image processing method includes acquiring a three-dimensional image of a subject eye and a two-dimensional image of the subject eye, specifying a first reference point in the three-dimensional image, specifying a second reference point in the two-dimensional image, and generating a superposed image. In the superposed image, the first reference point in the three-dimensional image is coordinated with the second reference point in the two-dimensional image and the two-dimensional image is superposed with at least a portion of the three-dimensional image.

Abstract: An electronic apparatus (1) configured to provide a treatment for a psychological anxiety disorder, the electronic apparatus including: a memory storing at least one instruction; a user interface (13) including a display configured to display a plurality of images; and a processor (11).

Abstract: An animation data encoding method includes obtaining animation data corresponding to an animation tag code from an animation project file. In response to a determination that attribute types exist in an attribute structure table corresponding to the animation tag code, the method further includes determining attribute flag information corresponding to each attribute in the attribute structure table. The method also includes encoding, by processing circuitry of a computer device, an attribute value corresponding to each attribute in the animation data according to the attribute flag information, to obtain attribute content corresponding to each attribute. The method further includes, for each attribute, sequentially storing the corresponding attribute flag information and the corresponding attribute content according to an attribute order of the attribute structure table, to obtain a dynamic attribute data block corresponding to the animation tag code.

Abstract: A system is configured to obtain multiple images (83) of a plant and store a plurality of the multiple images of the plant with a grow protocol (71) for growing the plant. Each of the images is associated with a different capture moment. The system is further configured to select the grow protocol separately from the plant and render the plurality of images upon selection of the grow protocol. Each of the images is rendered along with one or more desired and/or measured conditions (74-76) of a growth stage (84). The growth stage corresponds to a capture moment of the respective image. The grow protocol comprises a plurality of growth stages and the one or more desired and/or measured conditions are included in the grow protocol.

Abstract: Example implementations include a method, apparatus and computer-readable medium for decentralized procedural digital asset creation, comprising receiving a first request to create a digital asset from an application executing an augmented reality effect on a computing device, wherein the first request includes an identifier associated with a user of the application. The implementations further include generating the digital asset and metadata of the digital asset, wherein the metadata includes information about characteristics of the digital asset and ownership of the digital asset by the user. Additionally, the implementations further include storing the metadata on a blockchain. Additionally, the implementations further include receiving a second request to access the digital asset from the application.

Abstract: An electrooculography (EOG) signal capture system comprises a) a sensor array adapted for being located at one of a left or right ears of a user and/or for fully or partially being implanted in the head at left or right ears of a user, the sensor array comprising a number Ns of electric potential sensors, respectively, for sensing respective electric potentials from the user's head, where Ns is larger than or equal to two, b) electronic circuitry coupled to the sensor array and configured to provide at least two different beamformed signals (SBF1, SBF2), each being representative of a weighted combination of said electric potentials, or of signals derived therefrom, and wherein a difference between said at least two different beamformed signals (?PBF=SBF1?SBF2)—at least in a specific electrooculography mode of operation—represents an electrooculography signal (?PEOG) from one or both eyes of said user. A single-sensor EOG-system is further proposed. The invention may e.g.

Abstract: Methods and systems are disclosed for performing operations comprising: receiving a video that includes a depiction of a person wearing a fashion item; generating a three-dimensional (3D) model of the person depicted in the video; generating a segmentation of the fashion item worn by the person depicted in the video; outlining a portion of the 3D model based on the segmentation of the fashion item; tracking movement of the portion of the 3D model in the video; and in response to tracking the movement of the portion of the 3D model in the video, modifying a display position of one or more augmented reality elements on the fashion item in the video.

Abstract: End user interactions at a display are monitored for predetermined conditions to provide augmentation of display presentation by a red light that illuminates in the 650 to 800 nm range, such as at substantially 670 nm. Instructions stored in non-transient memory and executed on a processor present visual images of varied color contrast and evaluate end user inputs to determine an end user visual acuity. Over time and use of the display and red light, end user visual acuity is periodically tested to evaluate the effectiveness of red light illumination to restore visual acuity.

Abstract: In some embodiments, a synthetic (virtual) orthopedic treatment device (e.g. a virtual external fixator representing a physical fixator attachable to a patients anatomic structure) is displayed concurrently in two views (e.g. anterior-posterior and lateral) along corresponding digital medical images (e.g. X-rays), and rotation/translation user input received along one of the images is used to concurrently control both displays of the orthopedic treatment device to reflect the rotation/translation user input.

Abstract: Disclosed is a dynamic three-dimensional imaging method that allows the generation of a three-dimensional numerical model that represents an observed three-dimensional scene. The generated model optimally combines (404) data from two intermediate three-dimensional numerical models, respectively obtained by a stereoscopic three-dimensional reconstruction calculation method (402) and by a method of three-dimensional reconstruction calculation through learning (403). In addition, each new model that is generated helps to improve the overall performance of the method of three-dimensional reconstruction calculation by learning.

Abstract: A virtual operating room (OR) is generated that includes virtual surgical equipment based on existing OR models and existing equipment models. Sensor feedback is received that defines a physical OR having physical equipment, the physical equipment including a surgical robotic system within the physical OR. The virtual OR and the virtual surgical equipment is updated based on the sensor feedback. A layout of the virtual surgical equipment is optimized in the virtual OR. The virtual OR and the virtual surgical equipment are rendered on a display.

Abstract: A tessellation method uses both vertex tessellation factors and displacement factors defined for each vertex of a patch, which may be a quad, a triangle or an isoline. The method is implemented in a computer graphics system and involves calculating a vertex tessellation factor for each corner vertex in one or more input patches. Tessellation is then performed on the plurality of input patches using the vertex tessellation factors. The tessellation operation involves adding one or more new vertices and calculating a displacement factor for each newly added vertex. A world space parameter for each vertex is subsequently determined by calculating a target world space parameter for each vertex and then modifying the target world space parameter for a vertex using the displacement factor for that vertex.

Abstract: An image signal output method including outputting a first image signal to display an eyeball model selection screen for selecting one eyeball model from out of plural eyeball models of different types, converting a two-dimensional fundus image of the subject eye so as to generate a three-dimensional fundus image based on a selected eyeball model, and outputting a second image signal to display a fundus image display screen including the three-dimensional fundus image.

Abstract: A system, a method, and a computer program for transferring a system for a recognition area are provided. The range of an application object including a specific style is expanded from an image to a style of a real object or a style of a specific area included in a photo. In addition, the recognition area limited to a confined photo space is expanded to a real object and a background by using a projector beam. In addition, more various styles are mixed and applied to a painting style image, which is output, or an original image.

Abstract: Disclosed techniques relate to forming single-instruction multiple-data (SIMD) groups during ray intersection traversal. In particular, ray intersection circuitry may include dedicated circuitry configured to traverse an acceleration data structure, but may dynamically form a SIMD group to transform ray coordinates when traversing from one level of the data structure to another. This may allow shader processors to execute the SIMD group to perform the transformation. Disclosed techniques may facilitate instancing of graphics models within the acceleration data structure.

Abstract: A computer-implemented method for utilizing augmented reality (AR) and gamification to help a user traverse an area that includes hazards. The method includes one or more computer processors receiving at an AR device utilized by a user, visual information corresponding to an area. The method further includes identifying one or more hazards within the area. The method further includes determining a path through the area that the user may traverse to avoid the one or more identified hazards. The method further includes generating a plurality of elements of AR content, where at least a first element of AR content indicates the path for the user to traverse. The method further includes displaying, via the AR device, the received visual information corresponding to the area to include the plurality of elements of AR content.

Abstract: Systems and methods are provided for machine learning-based rendering of a clothed human with a realistic 3D appearance by virtually draping one or more garments or items of clothing on a 3D human body model. The machine learning model may be trained to drape a garment on a 3D body mesh using training data that includes a variety 3D body meshes reflecting a variety of different body types. The machine learning model may include an encoder trained to extract body features from an input 3D mesh, and a decoder network trained to drape the garment on the input 3D mesh based at least in part on spectral decomposition of a mesh associated with the garment. The trained machine learning model may then be used to drape the garment or a variation of the garment on a new input body mesh.