Abstract: A screen is presented on a display of a user device, which includes an element occupying less than an entirety of the screen. A second screen is then presented on the display, which includes a second element occupying less than an entirety of the second screen. The user device receives an input that requests that a previously presented element be presented within the second screen next to enable comparison of the previously presented element with the second element. The user device presents, on the display of the user device and responsive to receiving the input, a contemporaneous view of the element next to the second element within the second screen.

Abstract: An embodiment provides a mobile application that animates change information in a way that specifically indicates a change in workflow information for various users. This animation of change information permits users, which are often busy healthcare professionals, to be quickly apprised of relevant changes to workflow status. The mobile application also allows users to communicate change information, e.g., for updating the status of a workflow item, which may then be propagated throughout a network, including mobile devices.

Abstract: A method for building a map includes: acquiring an original grayscale map, preprocessing the original grayscale map to obtain a preprocessed map, binarizing the preprocessed map to obtain a binarized map, performing a boundary filling to the preprocessed map and the binarized map to obtain a boundary-filled preprocessed map and a boundary-filled binarized map, performing a boundary thinning to the boundary-filled binarized map to obtain a thinned binarized map, and performing a boundary thinning to the boundary-filled preprocessed map, according to the thinned binarized map, to obtain a thinned preprocessed map.

Abstract: This patent includes a method for utilizing imaging biomarkers to improve pharmacologic dosing strategies. Specifically, biomarker specific CT and MM examination protocols are disclosed. Dose adjustments based on imaging biomarkers are discussed. Longitudinal analysis of imaging biomarkers is disclosed assess effectiveness of pharmacotherapy and dosing strategies thereof. Finally, manufacturing of a combination pill with day-to-day variations of drug quantities is disclosed.

Abstract: A head-mounted display device including one or more position sensors and a processor. The processor may receive a rendered image of a current frame. The processor may receive position data from the one or more position sensors and determine an updated device pose based on the position data. The processor may apply a first spatial correction to color information in pixels of the rendered image at least in part by reprojecting the rendered image based on the updated device pose. The head-mounted display device may further include a display configured to apply a second spatial correction to the color information in the pixels of the rendered image at least in part by applying wobulation to the reprojected rendered image to thereby generate a sequence of wobulated pixel subframes for the current frame. The display may display the current frame by displaying the sequence of wobulated pixel subframes.

Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing a program and a method for generating an avatar based on a weather condition. The program and method include determining a current location of a user device; retrieving a weather condition at the current location of the user device; automatically generating a weather-based avatar for a person associated with the user device, the weather-based avatar having a visual attribute corresponding to the weather condition; and, in response to a request from a requesting device, causing display on the requesting device of the weather-based avatar.

Abstract: Method for determining a coupling point for an attachment on a tooth of a subject comprising: obtaining a digital 3D representation of the tooth to which the attachment will be coupled; obtaining attachment data indicative of the attachment to be coupled to the tooth; determining, on the digital 3D representation of the tooth, a plurality of excluded areas for the coupling point based on the digital 3D representation of the tooth and the attachment data; determining the coupling point by identifying an area on the tooth which is not in the plurality of excluded areas; and storing, in a memory of the computer system, the determined coupling point.

Abstract: The disclosure notably relates to a computer-implemented method of machine-learning. The method includes obtaining a dataset including 3D modeled objects which each represent a respective mechanical part and further includes providing a set of neural networks. Each neural network has respective weights. Each neural network is configured for inference of 3D modeled objects. The method further includes modifying respective weights of the neural networks by minimizing a loss. For each 3D modeled object, the loss selects a term among a plurality of terms. Each term penalizes a disparity between the 3D modeled object and a respective 3D modeled object inferred by a respective neural network of the set. The selected term is a term among the plurality of terms for which the disparity is the least penalized. This constitutes an improved method of machine-learning with a dataset including 3D modeled objects which each represent a respective mechanical part.

Abstract: Techniques for generating aligned, augmented reality views are disclosed. In some embodiments, an estimate of a floorplan of a three-dimensional space is first generated based on one or more received views of the three-dimensional space from a camera located in the three-dimensional space. A camera pose of the camera in the three-dimensional space is next determined based on generating a corrected floorplan from the estimate of the floorplan based on foreknowledge associated with the floorplan. Display of a rendering having the determined camera pose is facilitated in an actual view of the camera, resulting in an aligned, augmented reality view.

Abstract: A building appraisal system conducted by a remote inspector located away from a building. A remote user connected to a user on site can share images, measurements and other data to conduct an examination of the building such as an appraisal. A processor coupled to an image sensor can be configured to receive a gross floor area of the building. Images of an interior room of the building are stored in memory. The processor determines a planar surface in the images corresponding to a floor surface of the interior room and a plurality of corners in the images forming vertices of a bounded floor area on the floor surface. The processor can compute an adjusted floor area of the building that includes the bounded floor area subtracted from the gross floor area.

Abstract: A novel multiple camera calibration algorithm uses human joint points for matched key points. A recent machine-learning based human joint detector provides joint positions with labels (e.g. left wrist, right knee, and others). In single person situation, it directly provides matched key points between multiple cameras. Thus, the algorithm does not suffer a key-point matching problem, even in a very sparse camera configuration, which is challenging in the traditional image feature-based method. This algorithm provides easy setup for a multiple camera configuration for marker-less pose estimation.

Abstract: Three-dimensional (3D) point cloud generation using a stationary laser scanner and a mobile scanner. The method includes scanning a first part of a surrounding with the stationary laser scanner, obtaining a first 3D point cloud, scanning a second part of the surrounding with the mobile scanner, obtaining a second 3D point cloud, whereby there is an overlap region of the first part and the second part, and aligning the second 3D point cloud to the first 3D point cloud to form a combined 3D point cloud. The positional accuracy of points of the second 3D point cloud is increased by automatically referencing second scanner data of the overlap region, generated by the mobile scanner, to first scanner data of the overlap region, generated by the stationary laser scanner. Therewith, deformations of the second 3D point cloud and its alignment with the first 3D point cloud are corrected.

Abstract: An encoder is configured to compress point cloud geometry information using a prediction tree. Ancestor nodes of a node added to the prediction tree may be used to determine the predicted value of the node to be added according to a prediction technique. The prediction tree may be encoded and may be provided for transmission to a decoder that can regenerate the point cloud.

Abstract: A system comprises an encoder configured to compress attribute information and/or spatial for a point cloud and/or a decoder configured to decompress compressed attribute and/or spatial information for the point cloud. To compress the attribute and/or spatial information, the encoder is configured to convert a point cloud into an image based representation. Also, the decoder is configured to generate a decompressed point cloud based on an image based representation of a point cloud. The encoder generates an occupancy map and may also encode the occupancy map as an image based representation. In some embodiments, a video encoder encodes image based representations of spatial information for the points of the point cloud, image based representations of attribute values for points of the point cloud, and an image based representation of an occupancy map for the spatial and attribute images.

Abstract: A data transmission method, a method of displaying three-dimensional image, a data transmission device and a three-dimensional image display device are provided. The shift register unit includes a device. The data transmission method, comprises: performing a phase decomposition on a preset three-dimensional model to generate a plurality of phase images; acquiring position information and color information of pixels in the plurality of phase images; and sending the position information and the color information of the pixels in the plurality of phase images to a volumetric three-dimensional display device.

Abstract: A system comprises an encoder configured to compress attribute information and/or spatial for a point cloud and/or a decoder configured to decompress compressed attribute and/or spatial information for the point cloud. To compress the attribute and/or spatial information, the encoder is configured to convert a point cloud into an image based representation. Also, the decoder is configured to generate a decompressed point cloud based on an image based representation of a point cloud.

Abstract: Methods, systems, and devices for creating a model of a medical device for use in an extended reality (XR) system are described. The method may include receiving a three-dimensional model of the medical device, where the three-dimensional model is represented by a plurality of vectors. The method may further include reducing a number of the plurality of vectors to at least below a maximum vector count threshold while maintaining at least a minimum model resolution threshold. In some cases, the method may include assigning one or more components to the reduced number of the plurality of vectors. The method may further include configuring a software-executable file for displaying an XR version of the three-dimensional model of the medical device.

Abstract: Embodiments provide a computer implemented method for warping multi-field color virtual content for sequential projection. First and second color fields having different first and second colors are obtained. A first time for projection of a warped first color field is determined. A first pose corresponding to the first time is predicted. For each one color among the first colors in the first color field, (a) an input representing the one color among the first colors in the first color field is identified; (b) the input is reconfigured as a series of pulses creating a plurality of per-field inputs; and (c) each one of the series of pulses is warped based on the first pose. The warped first color field is generated based on the warped series of pulses. Pixels on a sequential display are activated based on the warped series of pulses to display the warped first color field.

Abstract: A image recognition system includes a first convolution layer, a pooling layer, a second convolution layer, a crossbar circuit having a plurality of input lines, at least one output line intersecting with the input lines, and a plurality of weight elements that are provided at intersection points between the input lines and the output line, weights each input value input to the input lines to output to the output line, and a control portion that selects from convolution operation results of the first convolution layer, an input value needed to acquire each pooling operation result needed to perform second filter convolution operation at each shift position in the second convolution layer, and inputs the input value selected to the input lines.

Abstract: A method for analyzing a three-dimensional model of an object which includes: obtaining the three-dimensional model generated based on images of the object, the images being imaged by respective cameras from respective viewpoints, the three-dimensional model including three-dimensional points each of which indicating a position of the object; obtaining a camera parameter of one camera among the respective cameras; generating, based on the camera parameter and the three-dimensional model, a depth image indicating a distance between the one camera and the object; generating a foreground image indicating an area in which the object is present in the one image imaged by the one camera; comparing the depth image and the foreground image to determine whether there is a deficiency of a three-dimensional point in the three-dimensional model; and outputting deficiency information if it is determined that there is the deficiency of the three-dimensional point in the three-dimensional model.