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 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: 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: 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.

Abstract: Methods, apparatus, systems, devices, and computer program products directed to augmenting reality with respect to real-world places, and/or real-world scenes that may include real-world places may be provided. Among the methods, apparatus, systems, devices, and computer program products is a method directed to augmenting reality via a device. The method may include capturing a real-world view that includes a real-world place, identifying the real-world place, determining an image associated with the real-world place familiar to a user of the device viewing the real-world view, and/or augmenting the real-world view that includes the real-world place with the image of the real-world place familiar to a user viewing the real-world view.

Abstract: The present disclosure provides an interaction method, an interaction apparatus, an electronic device, and a computer-readable storage medium, which relate to the technical field of image processing. The method includes: displaying a background image; displaying an initial picture of a target visual effect at a preset position of the background image; controlling the target visual effect to gradually change from the initial picture to a target picture in response to a visual effect change instruction triggered by a user; and adjusting a filter effect of the background image to allow the filter effect of the background image to gradually change from a first filter effect to a second filter effect during a change of the target visual effect.

Abstract: A tessellation method uses tessellation 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 comparing the vertex tessellation factors to a threshold. If the vertex tessellation factors for either a left vertex or a right vertex, which define an edge of an initial patch, exceed the threshold, the edge is sub-divided by the addition of a new vertex which divides the edge into two parts and two new patches are formed. New vertex tessellation factors are calculated for each vertex in each of the newly formed patches, both of which include the newly added vertex. The method is then repeated for each of the newly formed patches until none of the vertex tessellation factors exceed the threshold.

Abstract: Methods, systems and storage media for applying a pattern application effect to one or more frames of video are disclosed. Some examples may include: obtaining video data including one or more video frames, determining one or more segments in each of the one or more video frames, determining one or more object masks based on the one or more segments in each of the one or more video frames, combining, the one or more object masks into a single mask, obtaining pattern information, the pattern information representing one or more graphical effects to be applied to at least one layer of the one or more video frames, applying the pattern information to the single mask to generate masked pattern information and generating, by the computing device, a rendered video by adding the masked pattern information to the one or more video frames.

Abstract: In some embodiments, a method comprises obtaining a video stream of a portion of a geographic area, the video stream comprising a plurality of video frames, each of the plurality of video frames captured at a respective first time. Contextual metadata is obtained, the contextual metadata associated with one or more objects located in the portion of the geographic area at a second time, the second time being before each of the respective first times. The contextual metadata is inserted into one or more of the plurality of video frames, thereby causing the contextual metadata associated with the one or more objects to be overlaid on one or more corresponding portions of the one or more of the plurality of video frames.

Abstract: An ophthalmologic apparatus includes an optical scanner, an interference optical system, an intraocular distance calculator, an image correcting unit, and a controller. The optical scanner is disposed at an optically substantially conjugate position with a first site of a subject's eye. The interference optical system is configured to split light from a light source into reference light and measurement light, to project the measurement light onto the subject's eye via the optical scanner, and to detect interference light between returning light of the light from the subject's eye and the reference light via the optical scanner. The image forming unit is configured to form a tomographic image of the subject's eye corresponding a first traveling direction of the measurement light deflected by the optical scanner, based on a detection result of the interference light.