Abstract: A color mapping technique that provides an intuitive visualization of surface normals is described. The surface normals can be associated with a mesh for a virtual object to be displayed in augmented reality. The color mapping technique can map a unit sphere in a color space to an octahedron. The vertices of the octahedron can be aligned with prime colors of the color space. To perform the alignment, a rotation and shear matrix can be determined from coordinates for octahedron positions and coordinates of colors in the color space. The rotation and shear can provide that each region of the unit color sphere is dominated by a single prime color, with gradients between prime colors being visually balanced. Surface normals of a mesh for a virtual object can be visualized using the color mapping, and a viewer can readily determine how distant in terms of rotation two surface normals are from each other.

Abstract: A plurality of images is obtained, whether as separate images or part of a video. The plurality of images is used to generate a three-dimensional (3D) model of the imagery. The 3D model is registered to a geographic coordinate system as a first registered 3D model. The first registered 3D model is merged with a second registered 3D model to generate a merged 3D model. A request including a value corresponding to a location within the geographic coordinate system that includes at least a portion of the merged 3D model is received from a client device. A message identifying at least a subset of points in the portion of the merged 3D model is sent to the client device, each point in the subset having a three-dimensional coordinate.

Abstract: A computer programming system includes a processor configured to receive computer code in a textual format, and cause a 3-D visual representation of a portion of an immersive 3-D environment to be displayed via a 3-D visual instrumentation, where the 3-D visual representation comprises a visualization of the computer code in the textual format. The system also includes the three-dimensional (3-D) visual instrumentation, communicatively coupled with the processor, and configured to receive the 3-D visual representation, and to present the 3-D visual representation. The system also includes a motion detection instrumentation communicatively coupled with the processor, where the motion detection instrumentation is configured to receive a motion input, and where the 3-D visual representation within the immersive 3-D environment is adjusted based on the motion input.

Abstract: A medical imaging communication system processes medical images for being transmitted to a client device. The system receives a set of images, each image corresponding to a slice of a three-dimensional object. The system combines a first subset of the images into a first combined image and combines a second subset of the images into a second combined image. The first and second combined image are compressed using a lossless compression algorithm and transmitted to the client device.

Abstract: Systems and methods enable optimization of a 3D model representation comprising the shape and appearance of a particular 3D scene or object. The opaque 3D mesh (e.g., vertex positions and corresponding topology) and spatially varying material attributes are jointly optimized based on image space losses to match multiple image observations (e.g., reference images of the reference 3D scene or object). A geometric topology defines faces and/or cells in the opaque 3D mesh that are visible and may be randomly initialized and optimized through training based on the image space losses. Applying the geometry topology to an opaque 3D mesh for learning the shape improves accuracy of silhouette edges and performance compared with using transparent mesh representations. In contrast with approaches that require an initial guess for the topology and/or an exhaustive testing of possible geometric topologies, the 3D model representation is learned based on image space differences without requiring an initial guess.

Abstract: A display device including a display; a first external interface configured to be connected to a first external device; a second external interface configured to be connected to a second external device; and a controller configured to display, on the display, an external source list menu including first connection port information for identifying the first external interface and second connection port information for identifying the second external interface, receive a first image content from the first external device connected to the first external interface, and display, on the external source list menu, a first moving image obtained from the first image content after receiving a first capture start signal until receiving a second capture end signal from a remote controller, wherein the first moving image is displayed on a first position corresponding to the first connection port information identifying the first external interface in the external source list menu, and receive a second image content from t

Abstract: An information processing apparatus includes a display control section that displays a relation diagram expressing logical relationships between events from an upstream side to a downstream side, displays, in a case where an instruction of folding is performed on a plurality of events selected as folding starting points from among the events, the relation diagram in which events on the downstream side of the plurality of selected events are folded, and displays, in a case where an instruction of expanding is performed on the relation diagram in a folded state, the relation diagram expanded in a state before the folding.

Abstract: A first computer-aided design (CAD) model to represent a physical object is received that includes a triangle mesh with boundary condition faces. Thereafter, the triangle mesh is smoothed such that the boundary condition faces are maintained. The smoothed triangle mesh is then segmented. As part of such segmenting, a plurality quads are generated. Each of the quads is then fitted with a non-uniform rational basis spline (nurbs) patch. A second CAD model is next generated to represent the physical object which is based on the plurality of quads fitted with nurbs. Related apparatus, systems, techniques and articles are also described.

Abstract: Techniques of compressing triangular mesh data involve generating a neighborhood table (i.e., a table) of fixed size that represents a neighborhood of a predicted vertex of a triangle within a triangular mesh for input into a machine-learning (ML) engine. For example, such a neighborhood table as input into a ML engine can output a prediction for a value (e.g., a position) of a vertex. The residual between the prediction and the actual value of the vertex is stored in an array. The data in the array representing the residuals may be compressed and transmitted over a network. Upon receipt by a computer, the array may be decompressed by the computer. Obtaining the actual value involves the receiving computer generating the same neighborhood table, inputting that neighborhood table into the same ML engine to produce the predicted value, and adding the predicted value to the residual from the decompressed file.

Abstract: Method for modelling blood vessels includes: obtaining medical imaging data of the blood vessels; generating a three-dimensional personalized model of the blood vessels, based on the medical imaging data; generating a three-dimensional reference model of the blood vessels that reflects a state of healthy blood vessels that lack lesions, based on the medical imaging data or based on numerical reconstruction of the personalized model; performing a numerical simulation of blood flow for the same physical and boundary conditions in the personalized model and in the reference model, the simulation comprising determining conditions of blood flow at an inlet to the blood vessels model and calculating blood flow energy for the inlet and all outlets of the blood vessels model; comparing the blood flow energy measured for the personalized model and for the reference model; determining flow energy change indexes of the blood flow in the personalized model and the reference model.

Abstract: Systems and methods enable optimization of a 3D model representation comprising the shape and appearance of a particular 3D scene or object. The opaque 3D mesh (e.g., vertex positions and corresponding topology) and spatially varying material attributes are jointly optimized based on image space losses to match multiple image observations (e.g., reference images of the reference 3D scene or object). A geometric topology defines faces and/or cells in the opaque 3D mesh that are visible and may be randomly initialized and optimized through training based on the image space losses. Applying the geometry topology to an opaque 3D mesh for learning the shape improves accuracy of silhouette edges and performance compared with using transparent mesh representations. In contrast with approaches that require an initial guess for the topology and/or an exhaustive testing of possible geometric topologies, the 3D model representation is learned based on image space differences without requiring an initial guess.

Abstract: Disclosed is a non-invasive method for assessing in a subject the presence and severity of a liver lesion, or the risk of death or liver-related events, including: 1) performing at least three binary logistic regressions on at least one variable, performed on the same variable(s) but each directed to a different single diagnostic target, thereby obtaining at least three scores; 2) combining the scores from step 1) in a multiple linear regression to obtain a new multi-targeted score; 3) optionally sorting the multi-targeted score obtained in step 2) in a classification of liver lesion stages or grades, thereby determining to which liver lesion stage or grade the subject belongs based on his/her multi-targeted score. Also disclosed is a single multi-targeted non-invasive test obtained by the combination of single-targeted non-invasive tests providing a unique score and a unique classification with improved accuracy compared to single-targeted diagnostic tests.

Abstract: Provided are a device, a method, and a computer program for self-diagnosis and treatment of benign paroxysmal positional vertigo, which is for, when a patient with benign paroxysmal positional vertigo develops or appeals symptoms, immediately, easily and accurately diagnosing the symptoms by patients themselves using a sequential and efficient self-diagnosis algorithm associated with an optimized self-diagnosis questionnaire data without temporal or spatial constraints, and presenting an optimal treatment method, so as to allow the patients to receive appropriate on-site treatments. The present disclosure is effective in not only immediate treatment of benign paroxysmal positional vertigo, but also reducing medical expenses and additional social costs incurred for treatments of dizziness.

Abstract: An example of a non-transitory computer-readable medium storing machine-readable instructions. The instructions may cause the processor to receive a three-dimensional (3D) object representation and subdivide it into a triangular grid. Curved triangles may be calculated for triangles in the triangular grid. The triangles may be subdivided and differences calculated between corresponding sections of the curved triangles and the received 3D object representation.

Abstract: A method for generating split-shapes. The method including generating a three dimensional (3D) wire frame of a shape that corresponds to an expression of a face. The method including generating a UV map that corresponds to the 3D wire frame. The method including identifying an isolated area of the shape using vertex weights or the UV map, wherein the isolated area corresponds to a portion of the face. The method including generating a weight map based on the vertex weights or the UV map, wherein the weight map identifies the isolated area. The method including generating a sub-shape of the shape based on the weight map, wherein the sub-shape is editable using an editing application.

Abstract: Systems and methods for modifying three-dimensional digital items to fit different character models are described herein. In an embodiment a machine learning system is configured to compute a shape and size of three-dimensional digital objects to fit a second character model based on the shape and size that the same three-dimensional digital objects have to fit a first character model. A server computer receives particular input data defining a plurality of particular input vertices for a particular input three-dimensional digital object fit for the first character model. In response to receiving the particular input data, the server computer computes, using the machine learning system, particular output data defining a plurality of particular output vertices for a particular output three-dimensional digital object, the particular output three-dimensional digital object comprising the particular input three-dimensional digital object fit for the second character model.

Abstract: A system and method for providing positional error correction for particles of destructible objects in a three-dimensional volume in a virtual space includes electronic storage to store center-of-mass information of a set of objects, using a high-precision floating point format. Prior to runtime and/or interactive manipulation of the set of objects, a texture map is generated that includes positional information in a floating point format having less precision than the high-precision floating point format. A simulation uses this texture map to determine simulated center-of-mass information of the set of objects. This simulated center-of-mass information is compared with the previously stored center-of-mass information to determine which objects have positional errors, and which offsets are needed to correct the positional errors.

Abstract: An object is to provide a device for analyzing occlusion pressure with which it is possible to measure occlusion pressure with a high positional accuracy by using data obtained by versatile methods, including an operation device, wherein the operation device calculates a formula of a first dental arch based on an occlusion pressure data, calculates a formula of a second dental arch based on an occlusal contact positional data, calculates a transformation matrix that approximates the formula of the first dental arch to the formula of the second dental arch, carries out an operation to transform positional information included in the occlusion pressure data to a new positional information with the transformation matrix, and outputs an occlusion pressure data including the new positional information.

Abstract: A system and method for converting medical images of a particular patient into high resolution, 3D dynamic and interactive images interacting with medical tools including medical devices by coupling a model of tissue dynamics and tool characteristics to the patient specific imagery for simulating a medical procedure in an accurate and dynamic manner. The method includes a tool to add and/or to adjust the dynamic image of tissues and ability to draw and add geometric shapes on the dynamic image of tissues. The system imports the 3D surgery plan (craniotomy, head position, approach etc.). The surgeon establishes multiple views, rotates and interacts with the navigation image to see behind pathology and vital structures. The surgeon can make structures such as tumors, vessels and tissue transparent to improve visualization and to be able to see behind the pathology. The System can warn on proximity of tools to specific anatomical structure.

Abstract: Systems and techniques are provided for modeling three-dimensional (3D) meshes using multi-view image data. An example method can include determining, based on a first image of a target, first 3D mesh parameters for the target corresponding to a first coordinate frame; determining, based on a second image of the target, second 3D mesh parameters for the target corresponding to a second coordinate frame; determining third 3D mesh parameters for the target in a third coordinate frame, the third 3D mesh parameters being based on the first and second 3D mesh parameters and relative rotation and translation parameters of image sensors that captured the first and second images; determining a loss associated with the third 3D mesh parameters, the loss being based on the first and second 3D mesh parameters and the relative rotation and translation parameters; determining 3D mesh parameters based on the loss and third 3D mesh parameters.