Abstract: Methods and systems for gathering information from a user include identifying an origin topic and a target topic. A path from the origin topic to the target topic is determined. The path includes a set of bridging topics, where each bridging topic in the path is within a threshold distance in a semantic space from a previous topic and a subsequent topic. An interactive conversation is conducted with the user, introducing each topic in the path until the target topic has been reached. At least one predetermined piece of information relating to a user response to the target topic is recorded.

Abstract: A system includes an intraoral scanner and a computing device. The intraoral scanner generates an intraoral scan of a dental site. The computing device processes an input comprising data from the intraoral scan using a trained machine learning model that has been trained to classify regions of dental sites, wherein the trained machine learning model generates an output comprising, for each point in the intraoral scan, an indication as to whether the point belongs to a first dental class that represents excess material. The computing device determines, based on the output, one or more points in the intraoral scan that are classified as excess material. The computing device then hides or removes, from at least one of the intraoral scan or a virtual three-dimensional (3D) model generated using the intraoral scan, data for the one or more points that are classified as excess material.

Abstract: A computer-implemented method and a system are provided for visualising colocalised fluorescence signals. The method accesses signal intensity data obtained from a first fluorescence channel and a second fluorescence channel in which the signal intensity data is associated with voxels in an image. A regression factor on the signal intensity data is calculated to generate a regression parameter corresponding to a degree of correlation between the signal intensity data obtained from the first and second fluorescence channels The signal intensity data is mapped to the regression parameter and colourmap values are assigned to each voxel based on the mapped signal intensity data in which colourmap values of voxels embodying poorly correlated signal intensity data are reduced. The method renders the voxels in the image in colours according to their colourmap values to visualise colocalisation in the image.

Abstract: Transmedia scheduling systems and methods are described in which a user interface is generated via a channel engine that includes first and second channels. The channels are based on one or more channel templates stored in a channel database, and are preferably populated with concurrent transmedia stories. Each of the transmedia stories can be based on at least one transmedia object stored in a transmedia database and may be dynamically generated.

Abstract: A system for refining an item identification model detects a triggering event at a platform, where the triggering event corresponds to a user placing the item on a platform. The system captures images of the item. The system extracts a set of features from at least one of the images. The system identifies the item based on the set of features. The system receives an indication that the item is not identified correctly. The system receives an identifier of the item. The system identifies the item based on the identifier of the item. The system feeds the identifier of the item and the images to the item identification model. The system retrains the item identification model to learn to associate the item to the images. The system updates the set of features based on the determined association between the item and the images.

Abstract: A method of processing primitives within a tiling unit of a graphics processing system comprises determining whether a primitive falls within a tile based on positions of samples within each pixel. If it is determined that the primitive does fall within a tile based on the positions of samples within pixels in a tile, an association between the tile and the primitive is stored to indicate that the primitive is present in the tile. For example, an identifier for the primitive may be added to a control stream for the tile to indicate that the primitive is present in the tile. Various different methods are described to make the determination and these may be used separately or in any combination.

Abstract: The present invention discloses a remote monitoring method based on information fusion and virtual reality for a marine engine room, comprising five step s: step 1: employing sensors to collect thermodynamic parameters; step 2-1: using normalized relative deviation analysis method to obtain symptoms of the thermodynamic parameters; step2-2: using multi-scale time domain averaging method to extract signatures of vibration & noise signals; step 2-3: using projection moment method to describe dynamic characteristics of static pictures and infrared thermal images of equipment in the engine room; step 3: extracting features in the performance parameters and infrared thermal images; step 4: transmitting the analyzed results; and step 5: establishing visual 3D scenes of the marine engine room. The method rebuilds 3D interactive scenes of the marine engine room and realizes 3D animation effectively.

Abstract: A computer implemented system, method, or computer readable medium for providing a visual interactive software tool that permits users to investigate and evaluate financial, trade, and business-related risks. An interactive tool is provided that can integrate front and back end capabilities to, for example, provide quick and efficient navigation to pertinent information in a visual workspace. The system, method, or computer readable medium can be configured to include a software engine that identifies corridors or other subgraph features in accordance with automated traversal based on a set of rules. The features can provide a notification and selective visual access to risk-related subgraphs based on topic, category, or sanctions as a virtual lens for the user in connection with a displayed node.

Abstract: Embodiments of this application disclose an artificial intelligence-based (AI-based) animation character control method. When one animation character has a corresponding face customization base, and one animation character has no corresponding face customization base, the animation character having the face customization base may be used as a driving character, and the animation character having no face customization base may be used as a driven character.

Abstract: In various embodiments, a finite aperture omni-directional camera is modeled by aligning a finite aperture lens and focal point with the omni-directional part of the projection. For example, each point on an image plane maps to a direction in camera space. For a spherical projection, the lens can be orientated along this direction and the focal point is picked along this direction at focal distance from the lens. For a cylindrical projection, the lens can be oriented along the projected direction on the two dimensional (2D) xz-plane, as the projection is not omni-directional in the y direction. The focal point is picked along the (unprojected) direction so its projection on the xz-plane is at focal distance from the lens. The final outgoing ray can be constructed by sampling of point on this oriented lens and shooting a ray from there through the focal point.

Abstract: A method and system for generating and shading a computer graphics image in a tile based computer graphics system is provided. Geometry data is supplied and a plurality of primitives are derived from the geometry data. One or more modified primitives are then derived from at least one of the plurality of primitives. For each of a plurality of tiles, an object list is derived including data identifying the primitive from which each modified primitive located at least partially within that tile is derived. Alternatively, the object list may include data identifying each modified primitive located at least partially within that tile. Each tile is then shaded for display using its respective object list.

Abstract: Systems, apparatuses and methods may provide for technology that sets a write protection flag in a guest command buffer associated with a virtual machine and injects a semaphore command into a shadow command buffer in response to a fault. The fault is to correspond to a write of a graphics command to the guest command buffer by code executing in graphics hardware. In one example, the technology also conducts a security scan of the graphics command in response to a context switch in the graphics hardware, wherein the context switch is to be associated with the semaphore command.

Abstract: Disclosed are an electronic device generating a multi-plane image of an arbitrary viewpoint and an operating method thereof. The electronic device includes a memory that stores a plurality of images, and at least one processor that executes a machine learning-based multi-plane image generating module generating an image of an arbitrary viewpoint from the plurality of images stored in the memory. When the multi-plane image generating module is executed, the processor selects at least two images from the plurality of images, by performing geometric calibration on the plurality of images, calculates a plane sweep volume including at least two layer images, performs an operation of a deep neural network to generate a plurality of multi-plane images having probability values, and generates the image of the arbitrary viewpoint by composing the plurality of multi-plane images and stores the image of the arbitrary viewpoint in the memory.

Abstract: Described are systems and methods directed to generation and subsequent update of a dimensionally accurate body model of a body, such as a human body, based on two-dimensional (“2D”) images of at least a portion of that body and/or face images of a face of the body. A user may use a 2D camera, such as a digital camera typically included in many of today's portable devices (e.g., cell phones, tablets, laptops, etc.) to produce body images that are used to generate a body model of the body of the user. Subsequently, the body model may be updated based on a face image of the face of the user, without requiring the user to provide another body image.

Abstract: When a person visits a physical retail store, the merchant often does not have enough information about the person to make meaningful product recommendations. Also, a physical retail store typically has products physically distributed throughout the store. It may be desirable to have some sort of relationship between where the customer is and the location of the product being recommended. In some embodiments, when a person visits the store, a computer determines an identity of the person and generates a product recommendation based on user-specific information for that person. In some embodiments, generating the product recommendation includes detecting that a field of view of a camera of the device has changed, and in response determining a plurality of products within or proximate to a current field of view of the camera. At least one of the plurality of products is then identified as the recommended product.

Abstract: A method for testing a vehicular camera for a vehicular vision system includes providing a vehicular camera suitable for use on a vehicle, with the vehicular camera having a field of view. A collimator assembly is provided that includes an optic and a target fixedly disposed within the collimator assembly. The collimator assembly is positioned in the field of view of the vehicular camera such that the camera images light that reflects off the target and passes through the optic. The target has a stepped surface. Image data is captured with the vehicular camera, with the captured image data being representative of the stepped surface of the target. The captured image data is processed, via an image processor, and a defocus of the vehicular camera is estimated based on processing by the processor of the captured image data of the stepped surface of the target.

Abstract: The disclosed computer-implemented method may include (1) receiving, via a social networking system, a request from a user to participate in a discovery service designed to facilitate connections between users of the social networking system who share common attributes, (2) obtaining, from the user, data representative of at least one desired user attribute, possessed by the user, for new user connections, (3) identifying, within the social networking system, at least one additional user who is both a participant in the discovery service and who also possesses the desired user attribute, and (4) providing a visual indication to the user, when representing the additional user within a user interface of the social networking system, that the additional user is a participant in the discovery service and that the additional user possesses the desired user attribute. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: According to at least one embodiment, a method for generating a mesh deformation of a facial model includes: generating a first plurality of deformation maps by applying a first plurality of neural network-trained models; extracting a first plurality of vertex offsets based on the first plurality of deformation maps; and applying the first plurality of vertex offsets to a neutral mesh of the facial model to generate the mesh deformation of the facial model.

Abstract: Wearable head-mounted displays, such as virtual reality systems, present immersive experiences and environments to a wearer. However, the head-mounted displays, as well as the immersive environments that they produce, limit the wearer's ability to interact with outside observers. For example, a wearer may not be able to see outside observers, and outside observers may not have any insight to what the wearer is experiencing or where the wearer's attention is directed. Accordingly, a wearable electronic device may include an outward-facing display configured to display information to outside observers, such as images of the wearer's face or images that represent or indicate the state of the wearer and/or the head mounted display.

Abstract: In a distributed cloud environment, a collecting agent deployed external to a kernel of a compute host collects network data packets describing various raw events communicated between compute instances of the environment and metadata associated with the events from various sources. The collecting agent communicates the metadata to a cloud application. The collecting agent also communicates the packets to a stream processor that is decoupled from the collecting agent. The stream processor processes the packets in a stateful manner to generate a set of time series data. The time series data is communicated to the cloud application, where a set of enhanced time series data is generated by merging the time series data with the metadata in a distributed manner. A topology map describing the compute instances of the distributed cloud environment is then generated based on the set of enhanced time series data. The topology map is then displayed.

Abstract: An air-blowing apparatus includes a main body and a fan. In the main body a blow-out region is formed. The fan is provided in the main body and sends air toward the blow-out region. The air-blowing apparatus blows out air from the blow-out region such that a ratio (Vmax/Vmin) of a maximum value Vmax of wind velocity to a minimum value Vmin of the wind velocity is 1 or more and 10 or less in a target virtual plane. The target virtual plane is a virtual plane that faces the blow-out region. As a result, comfort of a person exposed to the wind sent from the air-blowing apparatus is improved.

Abstract: Methods and Systems for generating a centerline for an object in an image and computer readable medium are provided. The method includes receiving an image containing the object. The method also includes generating the centerline of the object, by a processor, using a reinforcement learning network configured to predict movement of a virtual agent that traces the centerline in the image. The reinforcement learning network is further configured to perform at least one auxiliary task that detects a bifurcation in a trajectory of the object. The reinforcement learning network is trained by maximizing a cumulative reward and minimizing an auxiliary loss of the at least one auxiliary task. Additionally, the method includes displaying the centerline of the object.

Abstract: The technology disclosed relates to systems and methods for device-dependent display of an article from a PDF file. The article can have multiple columns. The system can use a library to render the article from the PDF file. The rendering can include bounding boxes positioned at on-page coordinates that can include one or more images and multiple text blocks of glyphs. The system can partition the text blocks and images in two or more columns using dynamically adjusted valleys between columns. The system can set a reading order of the article after rendering. The system can merge and split text blocks to form paragraphs of text. The system includes logic to infer semantic information about typographic roles of the paragraphs from at least the font information. The system can cause display of the article in a device-dependent format using the semantic information and the reading order.

Abstract: The techniques described herein relate to methods, apparatus, and computer readable media configured to generate point cloud histograms. A one-dimensional histogram can be generated by determining a distance to a reference for each 3D point of a 3D point cloud. A one-dimensional histogram is generated by adding, for each histogram entry, distances that are within the entry's range of distances. A two-dimensional histogram can be determined by generating a set of orientations by determining, for each 3D point, an orientation with at least a first value for a first component and a second value for a second component. A two-dimensional histogram can be generated based on the set of orientations. Each bin can be associated with ranges of values for the first and second components. Orientations can be added for each bin that have first and second values within the first and second ranges of values, respectively, of the bin.

Abstract: Some embodiments provide a non-transitory machine-readable medium that stores a program. The program receives, from a client device, a request for information associated with a category. In response to the request, the program further accesses a storage to retrieve a first value associated with the category. The program also determines a set of values associated with the category based on a plurality of transactions. The program further determines an optimization level value associated with the category. The program also determines a second value associated with the category based on the first value, the set of values, and the optimization level value. The program further provides, by an application operating on the device, a graphical user interface (GUI) to the client device, the GUI comprising the second value.

Abstract: High quality image rendering can be achieved in part by using inverse transform sampling to direct sampling toward regions of greater importance, such as regions with higher brightness values, to reduce noise and improve convergence. Inverse transform sampling can be achieved more efficiently by reformulating as a ray-tracing problem, using tree traversal units that can be accelerated. A geometric mesh can be generated based on a set of cumulative distribution functions (CDFs) for various rows and columns of pixels in a texture, and individual rays can be traced against this mesh, with those rays having a higher probability of intersection at a point with greater importance, such as a higher brightness value. A probability distribution function to be used for importance sampling can be derived by analyzing partial derivatives of the CDF geometry at the intersection location.

Abstract: Described herein are systems, methods, and computer readable media for performing data conversion on sensor data to obtain modified sensor data that is formatted/structured appropriately for downstream processes that rely on the sensor data as input. The sensor data can include point cloud data captured by a LiDAR, for example. A grid structure and corresponding grid characteristics can be determined and the sensor data can be converted to grid-based sensor data by associating the grid structure and its characteristics with the sensor data. Generating the grid-based sensor data can include reformatting the point cloud data to superimpose the grid structure and its grid characteristics onto the point cloud data. Various downstream processing that cannot feasibly be performed on the raw sensor data can then be performed efficiently on the modified grid-based sensor data by virtue of the grid structure imbuing the sensor data with spatial proximity information.

Abstract: A method is disclosed for spinal anatomy segmentation. In one example, the method includes combining a fully convolutional network with a residual neural network. The method also includes training the combined fully convolutional network with the residual neural network from end to end. The method also includes receiving at least one medical image of a spinal anatomy. The method also includes applying the fully convolutional network with the residual neural network to at least one medical image and segmenting at least one vertebral body from the at least one medical image of the spinal anatomy.

Abstract: A method for producing a current state model of teeth of a patient from a scan of the teeth, the method including providing an old model of the teeth including first surface elements wherein each of the first surface elements is associated with precisely one tooth of the teeth to form a segmented old model of the teeth; initially bringing the scan and the old model into a coarse alignment; thereafter determining a bounding volume of at least one of the teeth in the old model; thereafter determining second surface elements in the scan of the teeth arranged within the bounding volume; thereafter copying copies of the first surface elements associated with the at least one of the teeth from the old model into a current state model; thereafter aligning the copies in the current state model with a minimum deviation from the second surface elements.

Abstract: A learning-based clothing animation method and system for highly efficient virtual try-on simulations is provided. Given a garment, the system preprocess a rich database of physically-based dressed character simulations, for multiple body shapes and animations. Then, using a database, the system trains a learning-based model of cloth drape and wrinkles, as a function of body shape and dynamics. A model according to embodiments separates global garment fit, due to body shape, from local garment wrinkles, due to both pose dynamics and body shape. A recurrent neural network is provided to regress garment wrinkles, and the system achieves highly plausible nonlinear effects, in contrast to the blending artifacts suffered by previous methods.

Abstract: One embodiment of a method for computing a texture color includes tracing a ray cone through a graphics scene, determining a curvature of a first surface within the graphics scene at a point where the ray cone hits the first surface based on differential barycentric coordinates associated with the point, determining, based on the curvature of the first surface, a width of the ray cone at a subsequent point where the ray cone hits a second surface within the graphics scene, and computing a texture color based on the width of the ray cone.

Abstract: A system for processing patient data associated with a joint of a patient. The system comprising a computing device executing instructions to generate a 3D patient bone model of the joint in a non-weighted pose. The instructions rearrange 3D first and second bone models in order to mimic a weighted pose of the joint of the patient from a 2D image of the joint of the patient in a weighted pose by performing the steps of: generating a plurality of 2D projections of poses of the 3D patient bone model; comparing the plurality of 2D projections to contour lines of the first bone and the second bone in the 2D image; identifying particular 2D projections that best-fit a shape and size of the contour lines; and arranging the 3D first and second bone models relative to each other according to orientations represented by the particular 2D projections that were identified.

Abstract: A method, executable by a processor, for planning an orthodontic treatment for a patient including determining tooth movement. The method includes obtaining a tooth and gingiva mesh from image data associated with teeth and surrounding gingiva; selecting a primary tooth to be moved to a desired position; displacing a tooth mesh of the primary tooth by a basic step distance toward the desired position determined on a jaw curve obtained for the teeth of the patient; determining if the displaced primary tooth collides with at least one secondary tooth in the desired position; in response to collision, displacing a tooth mesh of the secondary tooth away from the tooth mesh of the primary tooth by the basic step distance; and repeating determination of tooth collisions and displacing tooth contours of colliding teeth until no teeth of the teeth of the patient collide.

Abstract: A panoramic image system with parallax mitigation includes a controller that can generate on a display an IFOV that includes image data from both a first image sensor having a first FOV and a second image sensor having a second FOV which are overlapping FOVs. The IFOV includes a portion of the non-overlapping section of a first FOV, the overlapping sections of both the first and second FOVs, and a portion of the non-overlapping section of the second FOV. The overlapping section of the first FOV is blended with the overlapping section of the second FOV, wherein the first FOV and the second FOV both have a level of contribution to the blended overlapping section. The level of contribution to the blending from the first FOV increases as the viewer's head moves in a first angular direction and decreases as the viewer's head moves in a second angular direction.

Abstract: Using various embodiments, systems, methods and techniques to determine whether a surface of the multidimensional object is projected on a camera on a viewport space displayed on a graphical user interface. This includes projecting a first vector normal to a surface of the multidimensional object, where the multidimensional object is rendered in an electronically generated multidimensional environment, projecting a second vector from the camera to the surface of the multidimensional object, determining an angle between the first vector and the second vector, and based on the angle determining whether the surface is projected on the viewport space.

Abstract: Techniques to reduce database fragmentation are disclosed. In various embodiments, an indication is received to store an attribute value for an entity that has a row or other entry in a first database table, wherein the first database table does not have a column for the attribute. It is determined that the value corresponds to a mapped value that is associated with not having an entry in a separate, second database table configured to store the attribute. Entries are made in the second database table only for values of the attribute other than the mapped value. Application level software code is configured to associate absence of a row in the second database table with the mapped value for the attribute.

Abstract: Apparatus and methods for providing three-dimensional printed oral stents are provided for head and neck radiotherapy. Movement of the jaw of the patient is simulated via a computer processor. Simulating movement of the jaw of the patient comprises rotating and translating a mandible of the jaw. A digital negative impression is transformed into a digital oral stent by adding support structures to the digital negative impression. The support structures facilitate three-dimensional (3D) printing of the patient-specific oral stent.

Abstract: Methods and systems for determining orthodontic treatment based on 3D digital model of subject's teeth. The method includes determining, for a given trajectory segment of the orthodontic treatment of a given tooth in which the given tooth is moved from a start position to an end position, whether the force required to move the given tooth from the start position to the end position causes an induced stress associated with at least one other of the plurality of subject's teeth. In response to the induced stress being outside of a predetermined threshold level, determining a counter force to be applied to the at least one other of the plurality of subject's teeth. The orthodontic treatment can be thus determined as including the force to be applied to the given tooth and the determined counter force to be applied to the at least one other of the plurality if subject's teeth.

Abstract: A research, analysis, regulatory compliance and media platform that connects customers to finished research and analysis produced by subject matter experts is described. The platform facilitates research, investigations, and analysis by creating a single environment in which a group of distributed analysts conduct research and investigations, store and retrieve documents and other sources, collaborate, and publish findings. Consumers are able to query a published knowledge graph, surface high value relationships, and access insights captured by analyst through a customer web portal or external production environment. The platform allows analysts and customers to research and map the commercial, financial, and facilitation networks of sanctioned or other actors that may be associated with illicit activity. Customers can access visual graphs depicting relationships between sanctioned and non-sanctioned actors in order to evaluate their possible exposure to financial crime or sanctions-related risks.

Abstract: A research, analysis, regulatory compliance and media platform that connects customers to finished research and analysis produced by subject matter experts is described. The platform facilitates research, investigations, and analysis by creating a single environment in which a group of distributed analysts conduct research and investigations, store and retrieve documents and other sources, collaborate, and publish findings. Consumers are able to query a published knowledge graph, surface high value relationships, and access insights captured by analyst through a customer web portal or external production environment. The platform allows analysts and customers to research and map the commercial, financial, and facilitation networks of sanctioned or other actors that may be associated with illicit activity. Customers can access visual graphs depicting relationships between sanctioned and non-sanctioned actors in order to evaluate their possible exposure to financial crime or sanctions-related risks.

Abstract: A virtual image display system and a pointing direction control method of a control device thereof are proposed. The pointing direction control method of the control device includes causing the control device to display an index pattern having a recognition pointing direction, causing a virtual image display device to capture the index pattern displayed by the control device, and causing the virtual image display device to analyze the recognition pointing direction of the index pattern and to display a control cursor according to the recognition pointing direction.

Abstract: Provided herein are systems and methods for optimizing a 3D model of an individual's teeth. A 3D dental model may be reconstructed from 3D parameters. A differentiable renderer may be used to derive a 2D rendering of the individual's dentition. 2D image(s) of an individual's dentition may be obtained, and features may be extracted from the 2D image(s). Image loss between the 2D rendering and the 2D image(s) can be derived, and back-propagation from the image loss can be used to calculate gradients of the loss to optimize the 3D parameters. A machine learning model can also be trained to predict a 3D dental model from 2D images of an individual's dentition.

Abstract: The present invention relates to the field of medical monitoring, and in particular non-contact video monitoring to measure tidal volume of a patient. Systems, methods, and computer readable media are described for determining a region of interest of a patient and monitoring that region of interest to determine tidal volume of the patient. This may be accomplished using a depth sensing camera to monitor a patient and determine how their chest and/or other body parts are moving as the patient breathes. This sensing of movement can be used to determine the tidal volume measurement.

Abstract: An editing device acquires a first image in which an occupant of a vehicle has been imaged in association with a time point in a time series and a second image in which scenery around the vehicle has been imaged in association with a time point in a time series, acquires first index information indicating feelings of the occupant when the first image has been captured on the basis of the first image, and extracts the first image and the second image from first images of the time series and second images of the time series on the basis of the first index information and the time point associated with the first image based on the first index information to generate a library including the extracted images.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for a biometric authentication system. In one aspect, a method includes identifying a target user in proximity to a kiosk. Data for the target user is gathered from equipment on and in proximity to the kiosk. The gathered data is processed to generate a feature vector. The feature vector includes at least motion characteristics of the target user as the target user approaches the kiosk and touch input characteristics of the target user at the kiosk. A candidate user to compare to the target user is determined. Reference data for the candidate user is retrieved. The feature vector is compared to the reference data for the candidate user to determine a likelihood that the target user is the candidate user. A kiosk application is customized for the target user based on the determined likelihood.

Abstract: The present disclosure relates to a communication method and system for converging a 5th-Generation (5G) communication system for supporting higher data rates beyond a 4th-Generation (4G) system with a technology for Internet of Things (IoT). According to the present disclosure, a method performed by a first electronic device displaying AR content comprises obtaining measurement time information about a time when a user's pose is measured and measurement pose information about the measured pose, generating a first report including the measurement time information and the measurement pose information, transmitting the first report to a second electronic device, receiving a predicted image for a target point generated by the second electronic device, and displaying an AR image at the target point based on the predicted image.

Abstract: This disclosure can provide a display device, including a controller configured for determining whether an application interface of a current application supports a screen orientation after rotation; if so, outputting a rotation command so that a rotating component can drive the screen to rotate based on the rotation command; and if not, controlling the screen to display a prompt message, so that a user can determine whether to continue to control the screen to rotate via the prompt message if needed.

Abstract: A computer-implemented method of imaging an object, and an optical coherent tomography (OCT) imaging system implementing same.

Abstract: An image restoration apparatus generates a plurality of warped images by warping each of a plurality of input images based on respective depths corresponding to a plurality of disparities, and generates an output image with a high resolution based on the plurality of input images and the plurality of warped images using an image restoration model.

Abstract: A route viewing system includes a computing system that receives information associated with one or more routes through a network, and identifies the routes that are associated with at least one illicit user computer used by an illicit user. The computing system then obtains a source location of a source address of the routes and a destination location of a destination address of the routes, and displays the routes on a geographical display at the source location of the source address and the destination location of the destination address of each of the routes.