Abstract: A helmet includes a transceiver configured to receive vehicle data from one or more sensors located on a vehicle. The helmet also includes an inertial movement unit (IMU) configured to collect helmet motion data of a rider of the vehicle and a processor in communication with the transceiver and IMU, and programmed to receive, via the transceiver, vehicle data from the one or more sensors located on the vehicle and determine a rider attention state utilizing the vehicle data from the one or more sensors located on the vehicle and the helmet motion data from the IMU.

Abstract: This disclosure describes a head-mounted display with a display assembly configured to display content to most or all of a user's field of view. The display assembly can be configured to display content in far-peripheral regions of the user's field of view differently than content upon which a user can focus. For example, spatial resolution, color resolution, refresh rate and intensity (i.e. brightness) can be adjusted to save resources and/or to bring attention to virtual content positioned within a far-peripheral region. In some embodiments, these changes can save processing resources without detracting from the user's overall experience.

Abstract: A method for correcting an image divides an output image into a grid with vertical sections of width smaller than the image width but wide enough to allow efficient bursts when writing distortion corrected line sections into memory. A distortion correction engine includes a relatively small amount of memory for an input image buffer but without requiring unduly complex control. The input image buffer accommodates enough lines of an input image to cover the distortion of a single most vertically distorted line section of the input image. The memory required for the input image buffer can be significantly less than would be required to store all the lines of a distorted input image spanning a maximal distortion of a complete line within the input image.

Abstract: A modeling engine generates a prediction model that quantifies and predicts secondary dynamics associated with the face of a performer enacting a performance. The modeling engine generates a set of geometric representations that represents the face of the performer enacting different facial expressions under a range of loading conditions. For a given facial expression and specific loading condition, the modeling engine trains a Machine Learning model to predict how soft tissue regions of the face of the performer change in response to external forces applied to the performer during the performance. The modeling engine combines different expression models associated with different facial expressions to generate a prediction model. The prediction model can be used to predict and remove secondary dynamics from a given geometric representation of a performance or to generate and add secondary dynamics to a given geometric representation of a performance.

Abstract: For the automated loading of a load by a crane system, a camera system of the crane system generates at least one image data stream. The at least one image data stream is analyzed by a computer unit with the assistance of an artificial neural network. On the basis of the analysis, a first marker and a second marker are recognized by the computer unit in respective single images of the at least one image data stream. Positions of the markers are determined, and the load is loaded automatically by a lifting device of the crane system dependent upon the positions of the markers.

Abstract: A method of decoding point cloud data comprises obtaining a bitstream that includes an arithmetically encoded syntax element indicating a vertical point position offset within a node of a tree that represents 3-dimensional positions of points in a point cloud represented by the point cloud data; and decoding the vertical point position offset, wherein decoding the vertical point position offset comprises: determining a laser index of a laser candidate in a set of laser candidates, wherein the determined laser index indicates a laser beam that intersects the node; determining a context index based on whether the laser beam is above a first distance threshold, between the first distance threshold and a second distance threshold, between the second distance threshold and a third distance threshold, or below the third distance threshold; and arithmetically decoding a bin of the vertical point position offset using a context indicated by the determined context index.

Abstract: In one embodiment, a computing system may receive, from a first electronic device associated with a first user, a first request to generate a link associated with an artificial reality application and an action to be performed by the artificial reality application. The computing system may then generate a link to instructions that are executable on an artificial reality device to cause the artificial reality device to launch the artificial reality application and perform the action. The computing system may then receive, from a second electronic device associated with a second user, an indication that the second user activated the link on the second electronic device, and send the instructions associated with the link to an artificial reality device associated with the second user to cause the artificial reality device associated with the second user to launch the artificial reality application and perform the action.

Abstract: A system and method for tracing polygons in a drawing source file. The method includes extracting vector imagery from the source file, creating a planar representation of the vector imagery as a plurality of lines, filtering the plurality of lines to create simplified line art, morphologically dilating the simplified line art to generate a polygonal approximation, calculating geometric difference between the source file canvas bounds and the polygonal approximation to identify contracted polygons, morphologically dilating the contracted polygons to create visual polygons, and filtering the visual polygons according to one or more geometric parameters to identify salient polygons.

Abstract: Systems and methods are provided for enhanced animation generation based on using motion mapping with local bone phases. An example method includes accessing first animation control information generated for a first frame of an electronic game including local bone phases representing phase information associated with contacts of a plurality of rigid bodies of an in-game character with an in-game environment. Executing a local motion matching process for each of the plurality of local bone phases and generating a second pose of the character model based on the plurality of matched local poses for a second frame of the electronic game.

Abstract: In example embodiments, techniques are provided for refining tiles of an HLOD tree representing a model in order to display a view. A frontend module selects a tile represented by a node of the HLOD sub-tree and obtains information describing geometry of the selected tile. It determines that the selected tile requires refinement to support the view of the model based on the information describing geometry of the selected tile. A tile refinement strategy is determined from a plurality of tile refinement strategies. The frontend module applies the determined tile refinement strategy to the selected tile to generate one or more child tiles that have a higher resolution than the selected tile, the one or more child tiles represented by child nodes added to the HLOD sub-tree. The frontend module displays the view of the model at least in part by showing tiles represented by nodes of the HLOD sub-tree.

Abstract: The technology is provided to effectively visualize culture statuses related to a plurality of culture targets. Provided is a control device including a display control unit that controls dynamic display related to a culture status of a culture target including a cell having a division potential, the culture status being estimated along a time series by morphological analysis using a learned model generated on the basis of a machine learning algorithm, in which the display control unit controls comparative display of the culture statuses of a plurality of the culture targets.

Abstract: A visual perception of an arbitrary transparent material is imparted to an arbitrary image. In accordance with each element of each deformation map included in a sequence of deformation maps that correspond to a time series, each element of a target image is moved to obtain each deformed image of the time series. Each element of each of the deformation maps indicates a movement direction and a movement amount of each pixel of the target image corresponding to the element.

Abstract: The present disclosure concerns a method for reconstructing a point cloud representing a 3D object from an inverse-projected point cloud obtained by inverse-projecting at least one depth image of an original point cloud, said at least one depth image being obtained by projecting points of the original point cloud onto at least one surface, said method comprising the steps of detecting at least one missing part in the inverse-projected point cloud, and completing said at least one missing part based on points in the neighborhood of said at least one missing part.

Abstract: This application discloses methods, systems, and computer-implemented virtualization software applications and computer-implemented graphical user interface tools for remote virtual visualization of structures. Images are captured by an imaging vehicle of a structure and the captured images are transmitted to a remote server via a communication network. Using virtual 3D digital modeling software the server, using the images received from the imaging vehicle, generates a virtual 3D digital model of the structure and stores it in a database. This virtual 3D digital model can be accessed by remote users, using virtualization software applications, and used to view images of the structure. The user is able to manipulate the images and to view them from various perspectives and compare the before-the-damage images with images taken after damage have occurred. Based on all this the user is enabled to remotely communicate with an insurance agent and/or file an insurance claim.

Abstract: A method for detecting the angular position of a cap with respect to a bottle is provided. A first image of a cap provided with a first marker and of at least a portion of the bottle with which the cap is associated and which is provided with a second marker is captured. Liquid drops and other possible impurities existing thereon are removed from and/or displaced relative to the cap and bottle portion. A second image of the cap and bottle portion is then captured. The first image and second image are compared to obtain at least one processing which is free from “noise” and interferences due to the liquid drops and on which the positions of the first and second markers can be determined without errors. The relative angular position of the first and second markers are determined. An apparatus suitable to implement the aforesaid method is also provided.

Abstract: Graphics processing unit (GPU) performance and power efficiency is improved using machine learning to tune operating parameters based on performance monitor values and application information. Performance monitor values are processed using machine learning techniques to generate model parameters, which are used by a control unit within the GPU to provide real-time updates to the operating parameters. In one embodiment, a neural network processes the performance monitor values to generate operating parameters in real-time.

Abstract: A medical image processing apparatus of an embodiment includes processing circuitry. The processing circuitry is configured to acquire time-series medical images including blood vessels of an examination subject, the time-series medical images being fluoroscopically captured in at least one direction at a plurality of points in time, generate a blood vessel shape model including time-series variation information about the blood vessels in an analysis region of the blood vessels on the basis of the acquired time-series medical images, and perform fluid analysis of blood flowing through the blood vessels on the basis of the generated blood vessel shape model.

Abstract: Provided is a technology to identify the number of objects to be identified for each packaging unit with a high degree of accuracy. This object identification device comprises: a comparison unit which compares a captured image with an identification image for identifying objects; and a determination means which, if a plurality of objects are identified as being contained within the captured image, determines whether the plurality of identified objects are articles bundled together in accordance with predetermined conditions, based on a first parameter which represents the geometrical relationship between a first position in a first space, and a second position corresponding to the first position in a second space which represents the image space if the plurality of articles represented by the identification image are bundled together, and a second parameter which represents the geometrical relationship between the first position and a third relationship corresponding to the first position.

Abstract: A plurality of visualization objects may be provided for representing one or more data sets in a virtual 3D space. The visualization objects may include funnels, containers, name cards, and so forth. The visualization objects can be arranged in a circular carousel that can be rotated around a position of a virtual camera or user in a VR/AR environment. Individual data points in the visualization objects can be rotated, sized, positioned, colored, or otherwise characterized based on attributes of the corresponding data points. Individual data points can also be animated as transitioning between visualization objects in a unified view. Voice commands can be interpreted as part of an interactive environment that can provide views of the visualization objects to multiple devices simultaneously.

Abstract: A system for social interaction using a photo-realistic novel view of an event includes a multi-view reconstruction system for developing transmission data of the event a plurality of client-side rendering devices, each rendering device receiving the transmission data from the multi-view reconstruction system and rendering the transmission data as the photo-realistic novel view. A method of social interaction using a photo-realistic novel view of an event includes transmitting by a server side transmission data of the event; receiving by a first user on a first rendering device the data transmission; selecting by the first user a path for rendering on the first rendering device at least on novel view; rendering by the first rendering device the at least one novel view; and saving by the user on the first rendering device novel view date for the at least one novel view.