49th week of 2021 patent applcation highlights part 54 |
Patent application number | Title | Published |
20210383465 | FINANCIAL ANALYSIS IN A COMPUTING ENVIRONMENT - Techniques for providing a cash flow tool that analyzes financial transaction data for a customer to address any determined inefficient activities of the customer are provided. Financial transaction for the customer can be received. The financial transaction data can include payables transaction data and receivables transaction data. A first inefficient activity of the customer can be determined based on the payables transaction data. A second inefficient activity of the customer can be determined based on the receivables transaction data. A first recommendation to address the first inefficient activity and a second recommendation to address the second inefficient activity can be determined based on services or products available to the customer. The first and second recommendations can be displayed to the customer in a simplified and user-friendly manner to facilitate efficient review and discussion with a representative. | 2021-12-09 |
20210383466 | BANKING OPERATION SUPPORT SYSTEM, BANKING OPERATION SUPPORT METHOD, AND BANKING OPERATION SUPPORT PROGRAM - Provided are a system, a method, and a program of banking operation support for supporting execution of accurate and efficient banking operations. A control unit ( | 2021-12-09 |
20210383467 | Secure Multi-Party Computation for Sensitive Credit Score Computation - A computing system retrieves a credit check algorithm. The credit check algorithm utilizes one or more parameters for evaluation of a credit score of an individual. The computing system identifies a plurality of entities contributing parameters for the evaluation of the credit score of the individual. The computing system compiles the credit check algorithm into a plurality of components. Each component corresponds to a respective entity of the plurality of entities and each component generates an output unique to the respective entity. The computing system transmits each component to a respective entity of the plurality of entities. The computing system instructs each entity to share a respective output with each remaining entity. The computing system receives a credit score for the individual from each of the plurality of entities. Each credit score received from each entity is the same. | 2021-12-09 |
20210383468 | DISTRIBUTED LEDGER TECHNOLOGY AND ARTIFICIAL INTELLIGENCE-BASED ENERGY TRADING - In some examples, distributed ledger technology and artificial intelligence-based energy trading may include ascertaining energy data that includes historical weather data for a plurality of units, future climate forecast data, household behavioral energy data, and distributed ledger technology energy marketplace data. Based on a specified time interval, a specified future time duration may be divided to generate a plurality of specified divided future time durations to determine a price of energy. A trading recommendation may be generated for a time during the specified future time duration to buy the energy from a distributed ledger technology energy marketplace, and/or another time during the specified future time duration to sell the energy to the distributed ledger technology energy marketplace. Further, instructions to implement the recommendation may be generated to buy the energy and/or sell the energy. | 2021-12-09 |
20210383469 | CURRENCY TRADING METHOD BASED ON BLOCKCHAIN AND ELECTRONIC DEVICE - A currency trading method based on blockchain applied in an electronic device sets up a smart contract on the blockchain to receive a first setting instruction and a quantity of first transactions from a transacting sender, and receives a second setting instruction and a quantity of second transactions from a transacting receiver. The smart contract further generates target transactions according to a first exchange rate, the quantity of the first transactions, and a second exchange rate and the quantity of the second transactions, and sends the target transactions to a third-party platform for mediation of the target transactions. In response to a redemption instruction sent by the third-party platform, the smart contract sends the second tokens corresponding to the quantity of the first transactions to the transacting sender to a transacting receiver according to the quantity of the second transactions and the second exchange rate. | 2021-12-09 |
20210383470 | SYSTEMS AND METHODS FOR AN ELECTRONIC AUCTION - Verifiable order message handling for electronic auctions. Electronic order messages are received, with at least one message including an order of a predetermined type having sell order information associated with an entity having securities not previously registered for transactions. Requests for participation in an electronic auction are identified from among the messages. The requests include auction-only order information, with at least one request including the order of the predetermined type. It is determined whether the sell order information in the order of the predetermined type meets a predetermined auction condition based on an auction price. When the sell order information meets the predetermined auction condition, the order is permitted to participate in the electronic auction, such that the order is executed in full in the electronic auction. When the sell order information does not meet the predetermined auction condition, the electronic auction is canceled. | 2021-12-09 |
20210383471 | PRICE RANGE SYMBOL DATA STRUCTURE GENERATION, STORAGE, DISPLAY, SYSTEM, METHOD, AND DEVICE - A method for generating a data structure, the data structure being used to generate a symbol representative of changes in price during a time period, the method includes receiving, for each intra-time period of a plurality of intra-time periods in the time period, intra-time price data including an intra-time open price and an intra-time close price corresponding to the intra-time period, determining, from the received intra-time price data for the plurality of intra-time periods, an open price, which is an intra-time open price of an initial intra-time period of the plurality of intra-time periods, and a close price, which is an intra-time close price of a last intra-time period of the plurality of intra-time periods, determining, for each intra-time period of the plurality of intra-time periods, a value indicating whether or not the intra-time close price of the intra-time period is higher than the open price, so as to determine a plurality of values, and storing the time period, the open price, the close price, and the determined plurality of values in association with one another in the data structure on a non-transitory computer readable medium. | 2021-12-09 |
20210383472 | VISUALIZATION OF CHANGES THROUGH THE USE OF GRAPHICAL GEOMETRIC SHAPES - Methods and systems are disclosed for determining changes or revisions to a set of data and providing a user with a computerized graphical depiction of these changes through the use of multiple geometric shapes, the positioning of which shapes relative to one another and the size of which shapes relative to one another depict the changes to the user. | 2021-12-09 |
20210383473 | COMPUTER-READABLE RECORDING MEDIUM STORING TRANSACTION PROGRAM, TRANSACTION METHOD, AND TRANSACTION DEVICE - A recording medium stores a transaction program for causing a computer to execute processing including: creating, on the basis of a difference between a selling limit and a next transaction price and a difference between the next transaction price and a buying limit, a dissatisfaction function that represents dissatisfaction of an investor for each contract with the next transaction price as a variable; creating a total dissatisfaction function for all contracts on the basis of the dissatisfaction function created for each contract; specifying, among values of the created total dissatisfaction functions, a value from a predetermined number from a smallest value; and determining the optimum number of contracts on the basis of a plurality of the values from the predetermined number obtained by executing the processing of creating the dissatisfaction function, creating the total dissatisfaction function, and specifying the value from the predetermined number, while changing the number of contracts. | 2021-12-09 |
20210383474 | COMPUTER-READABLE RECORDING MEDIUM STORING TRADING PROGRAM, TRADING METHOD AND TRADING DEVICE - A non-transitory computer-readable recording medium stores a trading program for causing a computer to execute a process including: acquiring a number of sell orders for each of sell limits and a number of buy orders for each of buy limits; executing one of pairings of one of the sell orders and one of the buy orders in which one of the sell limits of the one of the sell orders is equal to or lower than one of the buy limits of the one of the buy orders, among the pairings of the sell orders and the buy orders, based on the acquired number of the sell orders for each of the sell limits and the acquired number of the buy orders for each of the buy limits; and resolving an execution price for each of executions. | 2021-12-09 |
20210383475 | COMPUTER-READABLE RECORDING MEDIUM STORING TRANSACTION PROGRAM, TRANSACTION METHOD, AND TRANSACTION DEVICE - A non-transitory computer-readable recording medium stores a transaction program for causing a computer to execute processing including: acquiring a selling limit and buying limit for each contract; creating, on the basis of a difference between the acquired selling limit and a next transaction price and a difference between the next transaction price and the acquired buying limit, a dissatisfaction function that represents dissatisfaction of an investor for each contract with the next transaction price as a variable; mating a total dissatisfaction function for all contracts on the basis of the dissatisfaction function created for each contract; and determining the next transaction price on the basis of a value of the created total dissatisfaction function. | 2021-12-09 |
20210383476 | CORE RATE GENERATION APPARATUS, CORE RATE GENERATION METHOD, AND PROGRAM THEREOF - Disclosed herein is a core rate generating apparatus ( | 2021-12-09 |
20210383477 | Computer-Implemented Private Fund Structure for a Hybrid Investment Strategy - In one embodiment, a computer-implemented method relating to a hybrid investment strategy includes creating, from contributions by investors, a fund pool having at least first and second capital allocations, investing the first capital allocation according to a first investment strategy to generate a first strategy return, investing the second capital allocation according to a second investment strategy to generate a second strategy return, combining the first and second strategy returns to generate a combined return, allocating a first portion of the combined return to investors, allocating a second portion of the combined return to a designated organization, and allocating a third portion of the combined return to a fund sponsor. | 2021-12-09 |
20210383478 | CANDLESTICK INTRA-BODY FILL AREA AND PRICE RANGE SUMMARY SYMBOL DISPLAY SYSTEM, METHOD, AND DEVICE - A method of displaying a symbol representative of changes in price during a time period, the method includes receiving, for each intra-time period of a plurality of intra-time periods in the time period, intra-time price data including an intra-time open price and an intra-time close price corresponding to the intra-time period, determining, from the received intra-time price data for the plurality of intra-time periods, an open price, which is an intra-time open price of an initial intra-time period of the plurality of intra-time periods, and a close price, which is an intra-time close price of a last intra-time period of the plurality of intra-time periods, determining, for each intra-time period of the plurality of intra-time periods, a value indicating whether or not the intra-time close price of the intra-time period is higher than the open price, so as to determine a plurality of values, generating, by a charting engine, a candle body from the open price and the close price, wherein a height of the candle body indicates a difference between the open price and the close price, and a width of the candle body indicates a difference between a start time of the time period and an end time of the time period, generating, by the charting engine, a filled intra-body fill area for each intra-time period of the plurality of intra-time periods, each filled intra-body fill area filled in accordance with the value of the plurality of values corresponding to the intra-time period of the plurality of intra-time periods, and displaying, by the charting engine, the symbol, which includes the candle body and the plurality of intra-body fill areas within the candle body. | 2021-12-09 |
20210383479 | SYSTEMS AND METHODS FOR MULTIVARIATE ARTIFICIAL INTELLIGENCE (AI) SMART CARDS - Systems and methods for multivariate Artificial Intelligence (AI) smart cards are provided. An AI smart card may include, for example, pre-stored policy data that may be utilized as a portion of multivariate input by a suite of AI modules to formulate and analyze a claim of loss. | 2021-12-09 |
20210383480 | COMPUTER VISION-BASED CLAIMS PROCESSING - Systems and methods are described for automatically evaluating a claim submitted to an insurance carrier. Claim information and at least one image associated with the claim may be received, where the image has been submitted to a carrier as supporting evidence of a service performed by a submitter of the claim. The system may provide image data and other claim information from the submitted claim as input to machine learning models configured to identify whether the image data, such as a radiograph, supports the other data in the claim submission, such as a treatment code. | 2021-12-09 |
20210383481 | Systems and Methods for Detecting, Extracting, and Categorizing Structure Data from Imagery - Systems and methods for detecting, extracting, and categorizing structure data from aerial imagery following a major weather event are provided. The system processes digital images and weather data to automatically detect, extract, and categorize structure data following a major weather event. After receiving an indication of a region of interest (“ROI”) from a user, the system retrieves weather mapping data for the ROI and retrieves information related to attributes of structures within the ROI from a machine learning subsystem. The system then cross-references the property data, the weather data, and the structure attributes and assigns a risk rating to the structures within the ROI. Finally, the system generates and delivers a data package to the user. | 2021-12-09 |
20210383482 | Filtered POS Processing of Services - A system and method are presented that utilizes a primary server having shadow data and benefit bucket data to provide adjudication and payment processing of insurance payment requests without requiring interaction with an insurance server and normal adjudication processes. The primary server can handle adjudication and payment processing for a plurality of insurance providers. An alternate payment method can be identified with a member identifier, allowing both insurance payment adjudication and member payment through the alternate payment method. The primary server can provide benefit processing for retail discounts, and store value benefits for authenticated purchase transactions. A variety of discounts, stored value benefits, insurance benefits, and alternate payment mechanisms can be incorporated into a single transaction and handled in real-time during the transaction. | 2021-12-09 |
20210383483 | CLAIM PROCESSING SYSTEM FOR TEMPORARY HOUSING CLAIMS - The present processing system is for processing an insurance claim for a housing property loss insured by an insurer wherein the system can receive a claim including an anticipated lease term, a location related to an insured loss, a loss value, and a number of people to be housed. The system can identify a pool of acceptable housing accommodations matching within a range for each of the claim parameters and select a housing accommodation from the pool of acceptable housing accommodations. The system can receive a vendor invoice from a vendor providing the selected housing accommodation including an amount due, a retail rate, and a discounted rate. The system can receive confirmation of receipt of payment from the insurer corresponding to the amount due and a portion of the difference between the retail rate and the discounted rate. | 2021-12-09 |
20210383484 | ELECTRONICS DEVICE HAVING A PLASTIC COVER WITH A SEALED CENTER BOSS - An electronics unit includes a housing, the housing having a base portion with a post member extending from the base portion. The post member has a through-hole defined through the post member. A printed circuit board is connected to the housing at a plurality of connection points. The printed circuit board includes one or more electric or electronic components disposed thereon and has an aperture. The post member is disposed through the aperture of the printed circuit board. A distal end portion of the post member is larger than a diameter of the aperture so as to fix the printed circuit board to the housing, forming one of the connection points. A seal member is disposed at least partly within the through-hole of the post member and forms a seal with the post member. | 2021-12-09 |
20210383485 | SYSTEMS, METHODS, AND APPARATUSES FOR FACILITAING POWERING OF TRANSOCEANIC SHIPPING AND INTERNATIONAL ENERGY/CHEMICAL SUPPLY - A system of Ocean-based barges following slow speed annual migration patterns that can net more incident solar energy, per unit area, than ever previously disclosed. This system makes use of solar radiant energy, seawater, and air to make most of the fuels/chemicals necessary for human life. These chemicals and/or fuels can then be efficiently distributed anywhere in the World by use of slow speed/low drag force travel, ocean currents, and/or transiting cargo ships. This system can power the entire Worlds global shipping industry, serve as an international decentralized energy grid, and/or provide a stored renewable energy reservoir of 100+ years. | 2021-12-09 |
20210383486 | REAL-TIME DATA STREAM FOR CARBON EMISSION AGGREGATION - The enclosed is a description of a computer-implemented method for aggregation of carbon emission data. A server receives data entries recording user actions from an application of a client device. The server assigns each data entry to one or more communities of the application. The user actions recorded are converted by the server to carbon emission equivalents. The carbon emission equivalents of a community to which a particular user belongs are aggregated for the particular user. The server establishes a data stream with the client device of the particular user and transmits the carbon emission equivalents of the community and a totality of carbon emission equivalents of the application to the client device. The carbon emission equivalents of the community and the totality of carbon emission equivalents, including communities the user is excluded from, are displayed on the client device on a master dashboard of the application. | 2021-12-09 |
20210383487 | Securely and Efficiently Targeting, Communicating and Monitoring Utility Usage - Example embodiments provide for a utility conservation system, whereby utility efficiency targets (i.e., the setting of one or more resource consumption threshold values—e.g., high, medium, or low resources user) may be compared to help find specific utility users (e.g., high users) by sector or other classification (e.g., hotels, with 30 or more rooms, swimming pool, etc.). In other words, example embodiments may use an industry standard classification system (e.g., the North American Industry Classification System (NAICS)) for analyzing and comparing utility customers' consumption across similar industry classes (e.g., Restaurants). | 2021-12-09 |
20210383488 | DUAL LASER MEASUREMENT DEVICE AND ONLINE ORDERING SYSTEM USING THE SAME - A system and a method are disclosed including a dual laser measurement device (DLMD) coupled with a mobile computing device to measure dimensions of a building or other structure, calculate other quantities based on the measured dimensions, select building construction or finishing material, order the material, and save the list of the measured dimensions and ordered materials in a data storage device. All steps of this process from measurement to ordering material may be performed using a DLMD app running on the mobile computing device. | 2021-12-09 |
20210383489 | SCHEDULING, BOOKING, AND PRICING ENGINES - Scheduling engines, booking engines, and pricing engines with affects, interfaces, and pricing. | 2021-12-09 |
20210383490 | EMERGENCY SERVICES/VIRTUAL TRAVEL WALLET - Embodiments of the present disclosure provide a computer and network architecture configured to provide one or more travel services to users. The one or more travel services may enable the user to obtain funds in the event that the user's financial cards and/or cash are lost or stolen while the user is travelling. Additionally, the one or more travel services may enable the user to obtain a temporary form of identification if the user's passport or other form of identification are lost or stolen while travelling. Other travel services that may be provided include a financial card cancellation service, a credit bureau alert service, a prepaid card service, or other services that enable a user to recover from an emergency situation that arises while the user is travelling. | 2021-12-09 |
20210383491 | PATENT TEXT GENERATING DEVICE, PATENT TEXT GENERATING METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM - A patent text generating device including a processor, and a memory including computer program code, the memory and the computer program code are configured to, with the processor, cause the patent text generating device to at least learn a plurality of correlations between a first claim of a patent document, a first description of the patent document, and a second description of a first prior art document to obtain a learning result, the first description being different from the first claim, and the first prior art document being correlated with the patent document, determine a patentability of a new claim, and generate text corresponding to a new claim based on the learning result and the new claim in response to determining the patentability of the new claim is equal to or greater than a level, the text being different from the new claim. | 2021-12-09 |
20210383492 | TEXT GENERATION DEVICE, TEXT GENERATION METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM - A text generating device including at least one processor, and at least one memory including computer program code, wherein the at least one memory and the computer program code are configured to, with the at least one processor, cause the text generating device to determine a first patent classification of invention text, select a second patent classification corresponding to the first patent classification, extract a patent document corresponding to the second patent classification from a patent document database, the patent document being similar to the invention text, generate additional invention text associated with the invention text based on the patent document, the additional invention text being included in the patent document and not included in the invention text, and transmit the additional invention text to a terminal device. | 2021-12-09 |
20210383493 | SYSTEMS AND METHODS FOR CREATING TRANSPORTATION PROFILES - The disclosed computer-implemented method may include receiving, at a transportation management system, driving data associated with at least one computing device. The method may also include identifying, based on the driving data, various driving patterns associated with the computing device. The method may further include generating, based on the driving patterns, a transportation profile that corresponds to the computing device, and applying the transportation profile within the transportation management system. Various other methods, systems, and computer-readable media are also disclosed. | 2021-12-09 |
20210383494 | METHOD AND SYSTEM FOR GENERATING AN AUTOMATED POLICE REPORT - The present disclosure generally relates to generating an automated police report after an accident. For example, a police officer may scan in an insurance card barcode, a VIN barcode, a driver's license number, etc., to populate fields of the automated police report. The automated police report may also include telematics data from an associated vehicle to determine an impact of a collision, a time and location of the collision, etc. A scene of the accident may also be reconstructed using satellite images and/or video taken at the time of the accident. For example, the scene may be reconstructed based on image sensors on the vehicle, weather data at the time of the collision, data communicated vehicle-to-vehicle from another vehicle, telematics data, etc. Images of the reconstructed scene and/or images of the actual scene from the satellite video may be included in the automated police report. | 2021-12-09 |
20210383495 | Frontline Alerting Service Tool - An inventory tracking system includes an analytic device communicatively connected with a plurality of data sources and a field device. The analytic device includes a processor configured to, in response to determining based on input data from at least one of the plurality of data sources that a criteria for issuing a planogram (POG) void alert has been met, cause the field device to display a notification indicative of the POG void alert, and, in response to determining based on data indicating user input to the field device that the issued POG void alert was invalid, update the criteria for issuing the POG void alert, such that a subsequent POG void alert is issued according to the updated criteria. | 2021-12-09 |
20210383496 | SYSTEMS AND METHODS FOR VERIFYING PROVIDER-RELATED INFORMATION - The disclosed computer-implemented method may include receiving, at a transportation management system, driving data associated with a computing device. The method may further include detecting, in response to receiving the driving data, a deviation from a transportation profile associated with the computing device. The method may also include sending, in response to detecting the deviation at the transportation management system, at least one transportation notification. Various other methods, systems, and computer-readable media are also disclosed. | 2021-12-09 |
20210383497 | Interpretation Maps with Guaranteed Robustness - Interpretation maps of deep neural networks are provided that use Renyi differential privacy to guarantee the robustness of the interpretation. In one aspect, a method for generating interpretation maps with guaranteed robustness includes: perturbing an original digital image by adding Gaussian noise to the original digital image to obtain m noisy images; providing the m noisy images as input to a deep neural network; interpreting output from the deep neural network to obtain m noisy interpretations corresponding to the m noisy images; thresholding the m noisy interpretations to obtain a top-k of the m noisy interpretations; and averaging the top-k of the m noisy interpretations to produce an interpretation map with certifiable robustness. | 2021-12-09 |
20210383498 | LINE INTERLEAVING CONTROLLER, IMAGE SIGNAL PROCESSOR AND APPLICATION PROCESSOR INCLUDING THE SAME - An image signal processor includes a line interleaving controller and an image signal processor core. The line interleaving controller receives a plurality of image data lines included in an image frame, generates one or more virtual data lines corresponding to the image frame, and outputs the plurality of image data lines and the virtual data lines sequentially line by line. The image signal processor core includes at least one pipeline circuit. The pipe line circuit includes a plurality of processing modules serially connected to sequentially process data lines received from the line interleaving controller. The line interleaving controller processes one or more end image data lines included in an end portion of the image frame based on the virtual data lines. Interference or collision between channels is reduced or prevented by processing the end image data lines in synchronization with the virtual data lines. | 2021-12-09 |
20210383499 | COMPUTER-READABLE RECORDING MEDIUM RECORDING APPEARANCE FREQUENCY CALCULATION PROGRAM, INFORMATION PROCESSING APPARATUS, AND APPEARANCE FREQUENCY CALCULATION METHOD - A recording medium recording an appearance frequency calculation program for causing an information processing apparatus to execute processing includes: construction processing of constructing thread groups each including threads; acquisition processing in which the thread group acquires a data group including a same number of pieces of data as a number of threads constituting the thread group, each thread being responsible for one piece of data of the data group; and addition processing in which the thread adds one to a first storage area that stores an appearance frequency of a first numerical value, and a duplication number indicating a number of duplication is added to the first storage area when the own thread is a representative thread that is present alone in the thread group that is responsible for the data of the first numerical value when the first numerical value is duplicated in the data group. | 2021-12-09 |
20210383500 | SYSTEM AND METHOD FOR PRE-BOOT DYNAMIC VIDEO RENDERING AND GRAPHICS INTERPRETATION BY A VIRTUAL GRAPHICS BROWSER - An information handling system is configured, during a pre-extensible firmware interface initialization phase of the information handling system, to learn capabilities of components of the information handling system, create a hand-off block for storage of a virtual graphical browser firmware volume payload, and store learned capabilities of the components of the information handling system in the hand-off block. During a driver execution environment phase, the information handling system may retrieve the learned capabilities of the components of the information handling system stored in the hand-off block, publish learned capabilities retrieved from the hand-off block, retrieve the virtual graphics browser firmware volume payload stored in the hand-off block, and dispatch a virtual graphics browser learning driver and a virtual graphics browser interpreter driver based on retrieved virtual graphics browser firmware volume payload. The virtual graphics browser learning driver may learn capabilities of a graphics library associated with the information handling system, and publish learned capabilities of the graphics library. The virtual graphics browser interpreter driver may interpret a user interface input based on published learned capabilities and published learned capabilities of the graphics library, and draw user interface elements on a screen based on interpreted user interface input. | 2021-12-09 |
20210383501 | ALIGNING DIGITAL IMAGES - A digital camera and a method for aligning digital images comprising: receiving images including first and second images depicting a first and a second region of a scene, the regions being overlapping and displaced along a first direction; aligning the images using a transformation; determining disparity values for an overlap between the images; identifying misalignments by identifying blocks of pixels in the first image having a same position along a second direction and having disparity values exhibiting a variability lower than a first threshold and exhibiting an average higher than a second threshold; adjusting the transformation for the identified blocks of pixels in the first image and their matching blocks of pixels in the second image; and realigning the images using the adjusted transformation. | 2021-12-09 |
20210383502 | SPATIAL PROCESSING FOR MAP GEOMETRY SIMPLIFICATION - A computer system and related computer-implemented methods are disclosed. The system is programmed to simplify one or more digital maps for a geographical region by reducing their sizes while maintaining their physical appearances to the human eyes. | 2021-12-09 |
20210383503 | METHOD AND SYSTEM FOR DISPLAYING AN ULTRASOUND IMAGE IN RESPONSE TO SCREEN SIZE - Ultrasound images are adjusted according to the size of the display area available to display them, so that image detail is displayed with a large enough physical size to discern comfortably. A translation ratio is determined for translating the physical distance traversed by the ultrasound signals of an ultrasound images to a corresponding physical distance on a screen of the display device. If the ratio is not below a threshold, the image is displayed in full. If the ratio is below the threshold, the image is cropped, optionally scaled, and displayed in the available area. Scaling and cropping may be based on window size and threshold window size. The parameters of the ultrasound scan may be controlled based on the scaling, cropping, or available screen size. User interface features may be displayed on the screen depending on how much area is available when the image is displayed. | 2021-12-09 |
20210383504 | APPARATUS AND METHOD FOR EFFICIENT MOTION ESTIMATION - The architecture shown can perform global search, local search and local sub pixel search in a parallel or in a pipelined mode. All operations are in a streaming mode without the requirement of external intermediate data storage. | 2021-12-09 |
20210383505 | IMAGE ENHANCEMENT USING ONE OR MORE NEURAL NETWORKS - Apparatuses, systems, and techniques are presented to generate images with one or more visual effects applied. In at least one embodiment, one or more visual effects are applied to one or more images having a resolution that is less than a first resolution and those visual effects approximated for one or more images having a resolution that is greater than or equal to the first resolution. | 2021-12-09 |
20210383506 | SUPER-RESOLUTION AUTOMATIC TARGET AIMPOINT RECOGNITION AND TRACKING - A system includes at least one imaging sensor configured to capture images of a target. The system also includes at least one controller configured to generate super-resolution images of the target using the captured images and identify multiple edges of the target using the super-resolution images. The at least one controller is also configured to identify an aimpoint on the target based on the identified edges of the target. In addition, the at least one controller is configured to update the aimpoint on the target as the target moves over time. The system may further include a high-energy laser (HEL) configured to generate an HEL beam that is directed towards the target, and the at least one controller may be configured to adjust one or more optical devices to direct the HEL beam at the identified aimpoint on the target. | 2021-12-09 |
20210383507 | SYSTEM, METHOD AND COMPUTER-ACCESSIBLE MEDIUM FOR DETECTING STRUCTURAL DISORDER(S) USING MAGNETIC RESONANCE IMAGING - An exemplary system, method, and computer-accessible medium for detection of structural disorder(s) of patient(s) can be provided which can include, for example, receiving magnetic resonance imaging (MRI) information of the portion(s), generating gadolinium (“Gd”) enhanced map(s) based on the MRI information using a machine learning procedure(s), and detecting the structural disorder(s) of the patient(s) based on a GD contrast of the Gd enhanced map(s). The Gd enhanced map(s) can be a full dosage Gd enhanced map. The machine learning procedure can be a convolutional neural network. The MRI information can include (i) a low-dosage Gd MRI scan(s), or (ii) a Gd-free MRI scan(s). The Gd contrast can be generated in the Gd enhanced map(s) using a T2-weighted MRI image of the portion(s). Structural disorder(s) can include Stroke, tumor, trauma, infection, Multiple sclerosis and/or other inflammatory disease. | 2021-12-09 |
20210383508 | INFORMATION PROCESSING APPARATUS AND INFORMATION PROCESSING METHOD - In one aspect, an information processing apparatus includes a first acquisition module, a first extraction module, a first generation module, a second extraction module, a derivation module, and a first output control module. The first acquisition module acquires an input image to output a first image and a second image. The first extraction module extracts first characteristic point information from the first image. The first generation module generates a third image obtained by reducing a data amount of the second image. The second extraction module extracts second characteristic point information from the third image. The derivation module derives a difference between the first characteristic point information and the second characteristic point information. The first output control module outputs the third image corrected in accordance with the difference as an output image. | 2021-12-09 |
20210383509 | DEEP FEATURE GENERATIVE ADVERSARIAL NEURAL NETWORKS - A mobile device can implement a neural network-based domain transfer scheme to modify an image in a first domain appearance to a second domain appearance. The domain transfer scheme can be configured to detect an object in the image, apply an effect to the image, and blend the image using color space adjustments and blending schemes to generate a realistic result image. The domain transfer scheme can further be configured to efficiently execute on the constrained device by removing operational layers based on resources available on the mobile device. | 2021-12-09 |
20210383510 | METHOD AND SYSTEM FOR TRAINING A MACHINE LEARNING-BASED IMAGE DENOISING SYSTEM - A synthetically generated noise image is generated from at least one high signal-to-noise ratio target image and at least two zero-mean Gaussian noise images, scaled according to a noise scale. The images are combined in a non-linear manner to produce the synthetically generated noise image which can be used as a training image in a machine learning-based system that “denoises” images. The process can be repeated for a number of different noise scales to produce a set of training images. In one embodiment, the synthetically generated noise image I | 2021-12-09 |
20210383511 | Bright Spot Removal Using A Neural Network - A method for image capture includes identifying a bright spot in an image. A neural network is used to recover details in bright spot area through a trained de-noising process. Post-processing of the image is conducted to match image parameters of recovered details in the bright spot area to another area of the image. | 2021-12-09 |
20210383512 | PHASE DETECTION AND CORRECTION USING IMAGE-BASED PROCESSING - A computer-implemented method includes receiving a raw data set representing an image of a sample, identifying a first set of extremum by analyzing the raw data set using a metric algorithm, identifying a second set of extremum by analyzing the first set of extremum, and generating, based on the second set of extremum, a reconstructed image of the sample. A phase correcting scanner includes one or more processors, one or more scanner adapted to sequentially sample an object to generate a vector of raw data representing the object in a Lissajous pattern, and memory storing instructions that, when executed by the one or more processors, cause the computing system to receive the vector of raw data, identify a first set of extremum by analyzing the raw data set using a metric algorithm, and identify a second set of extremum by analyzing the first set of extremum. | 2021-12-09 |
20210383513 | IMAGE CORRECTION DEVICE, IMAGE GENERATION DEVICE, CAMERA SYSTEM, AND VEHICLE - An image correction device including: an image data acquisition part for acquiring the image data obtained by a camera; and a correction part for correcting the image data on the basis of a first difference that is a difference between a first image height obtained by light having entered the camera at a first incident angle and a first reference image height obtained by light having entered the camera at the first incident angle when the camera is free of manufacturing errors. | 2021-12-09 |
20210383514 | IMAGE PROCESSING APPARATUS, RADIOSCOPY SYSTEM, IMAGE PROCESSING PROGRAM, AND IMAGE PROCESSING METHOD - An image processing apparatus includes at least one processor. The processor is configured to execute processing of acquiring a first image as a radiographic image including an image of a subject generated by radioscopy for continuously irradiating the subject with radiation to perform imaging, acquiring a second image different from the radiographic image including the image of the subject before acquiring the first image, specifying a subject region as a region where the image of the subject is formed in the first image, based on the second image, and executing image processing of enhancing contrast of the specified subject region on the first image and outputting the first image after the image processing. | 2021-12-09 |
20210383515 | Evenly Spaced Curve Sampling Technique for Digital Visual Content Transformation - A curve sampling technique for generating transformed digital visual content is leveraged in a digital medium environment. Initially, a curve sampling system obtains digital visual content, e.g., images and videos. The curve sampling system generates transformed digital visual content by transforming one or more pixels of the digital visual content using a lookup table that is derived from samples of a curve taken at evenly spaced intervals along a y-axis of a graph of the curve. Broadly speaking, the curve defines how to transform a visual characteristic of the pixels in order to achieve a desired digital visual content transformation. Additionally, the curve sampling may correspond to one step in a series of steps for transforming colors of digital visual content. Indeed, such transformations may involve multiple curve sampling steps. | 2021-12-09 |
20210383516 | SYSTEMS AND METHODS FOR IMAGE PROCESSING - Systems and methods for image processing are provided in the present disclosure. The systems may generate a preliminary image by filtering image data generated by an image acquisition device. The system may generate an intermediate image by performing, based on a first objective function, a first iterative operation on the preliminary image. The first objective function may include a first term associated with a first difference between the intermediate image and the preliminary image, a second term associated with continuity of the intermediate image and a third term associated with sparsity of the intermediate image. The systems may also generate a target image by performing, based on a second objective function, a second iterative operation on the intermediate image. The second objective function may be associated with a system matrix of the image acquisition device and a second difference between the intermediate image and the target image. | 2021-12-09 |
20210383517 | IMAGE QUALITY ENHANCEMENT FOR AUTONOMOUS VEHICLE REMOTE OPERATIONS - Techniques for image quality enhancement for autonomous vehicle remote operations are disclosed herein. An image processing system of an autonomous vehicle can obtain images captured by at least two different cameras and stitch the images together to create a combined image. The image processing system can apply region blurring to a portion of the combined image to create an enhanced combined image, e.g., to blur regions/objects determined to be less import (or unimportant) for the remote operations. The image processing system can encode pixel areas of the enhanced combined image using a corresponding quality setting for respective pixel areas to create encoded image files, e.g., based on complexity levels of the respective pixel areas. The image processing system can transmit the encoded image files to a remote operations system associated with the autonomous vehicle for remote operations support. | 2021-12-09 |
20210383518 | TRAINING AND CONFIGURATION OF DL STACK TO DETECT ATTEMPTED EXFILTRATION OF SENSITIVE SCREENSHOT-BORNE DATA - Disclosed are methods and systems for detecting screenshot images and protecting against loss of sensitive screenshot-borne data. One disclosed method includes collecting examples of the screenshot images and non-screenshot images and creating labelled ground-truth data for the examples. The method also includes applying re-rendering of at least some of the collected example screenshot images to represent different variations of screenshots that may contain sensitive information, and further includes training a deep learning stack by forward inference and back propagation using labelled ground-truth data for the screenshot images and the examples of the non-screenshot images. The method further includes using results of the back propagation to configure parameters of the trained DL stack for inference from images in production. Also disclosed is applying a screenshot robot to collect the examples of the screenshot images and non-screenshot images. | 2021-12-09 |
20210383519 | Charged Particle Beam Apparatus - The charged particle beam apparatus includes a charged particle beam optical system that irradiates a sample mounted on a sample stage with a charged particle beam; a detector that detects a signal generated from the sample; a charged particle beam imaging device that acquires an observation image from the signal detected by the detector; an optical imaging device that captures an optical image of the sample; a stage that rotatably holds the sample stage; a stage control device that controls movement and rotation of the stage; and an image composition unit that combines the plurality of optical images to generate a composite image. The stage control device is configured to move the stage so that the center of an imaging range of the optical imaging device is located at a position different from the rotation center of the stage and then, to rotate the stage, the optical imaging device acquires a plurality of optical images relating to different positions of the sample by rotation operation, and the image composition unit combines the plurality of optical images obtained by the rotation operation to generate a composite image. | 2021-12-09 |
20210383520 | METHOD AND APPARATUS FOR GENERATING IMAGE, DEVICE, STORAGE MEDIUM AND PROGRAM PRODUCT - The present disclosure discloses a method and apparatus for generating an image, a device, a storage medium and a program product, relates to the field of artificial intelligence, and particularly to computer vision and deep learning technologies, and may be applied in smart cloud and power grid inspection scenarios. A particular implementation of the method comprises: acquiring an original insulator image; performing an image transformation on the original insulator image to obtain a composite insulator image; and inputting the original insulator image and the composite insulator image into a pre-trained generative adversarial network to generate a target insulator image. According to the implementation, the image transformation is performed on the original insulator image, and then, massive target insulator images are generated through the generative adversarial network. | 2021-12-09 |
20210383521 | QUALITY DEFECT MARKING SYSTEMS AND METHODS IN PACKAGING PRODUCT MANUFACTURING - Systems and methods for detecting and marking quality defects on individual packaging products being processed through converting machines at high speeds are provided. An example system comprises a controller in communication with a first and second sensor as well as a first and second marker. The first and second sensors sense data corresponding to a first type and second type, respectively, of potential defects in the manufacture of the packaging product, enabling detection of a first- and second-type defect. The controller may be configured to trigger a first marker to mark the individual packaging product with a first mark for the first-type defect; and to trigger a second marker to mark the packaging product with a second mark for the second-type defect. Thus, the type of defects detected on an individual packaging product may be readily indicated on the individual packaging product itself | 2021-12-09 |
20210383522 | ARTICLE DETECTION DEVICE, ARTICLE DETECTION METHOD, AND STORAGE MEDIUM - An article detection method applied to an article detection device is provided. The method includes controlling at least one lighting device to emit a light beam towards a carrier. Once at least one camera is controlled to capture at least one image of the carrier; and a placement situation of articles in the carrier is detected based on the captured image using an article detection model. | 2021-12-09 |
20210383523 | Surgical Kit Inspection Systems And Methods For Inspecting Surgical Kits Having Parts Of Different Types - Surgical kit inspection systems and methods are provided for inspecting surgical kits having parts of different types. The surgical kit inspection system comprises a vision unit including a first camera unit and a second camera unit to capture images of parts of a first type and a second type in each kit and to capture images of loose parts from each kit that are placed on a light surface. A robot supports the vision unit to move the first and second camera units relative to the parts in each surgical kit. One or more controllers obtain unique inspection instructions for each of the surgical kits to control inspection of each of the surgical kits and control movement of the robot and the vision unit accordingly to provide output indicating inspection results for each of the surgical kits. | 2021-12-09 |
20210383524 | PATTERN INSPECTION SYSTEM - A pattern inspection system inspects an image of an inspection target pattern of an electronic device using an identifier constituted by machine learning, based on the image of the inspection target pattern of the electronic device and data used to manufacture the inspection target pattern. The system includes a storage unit which stores a plurality of pattern images of the electronic device and pattern data used to manufacture a pattern of the electronic device, and an image selection unit which selects a learning pattern image used in the machine learning from the plurality of pattern images, based on the pattern data and the pattern image stored in the storage unit. | 2021-12-09 |
20210383525 | IMAGE AND DATA ANALYSTICS MODEL COMPATIBILITY REGULATION METHODS - A computerized model compatibility regulation method for imaging applications first performs a target domain B application by computing means using at least one image X and target domain B image analytics to generate a target domain B application output for X. The method then applies a reference domain A application by computing means to generate reference domain A application output for X. The method further performs a compatibility assessment to generate at least one compatibility result for X. In addition, the method checks the compatibility result for X and if the check output is incompatible, the method performs online correction to generate a corrected application output for X. | 2021-12-09 |
20210383526 | METHOD FOR TRAINING DEFECT DETECTOR - A method for training a defect detector comprises: obtaining a first reference image of a first reference object, wherein the first reference object has a defect and the first reference image has a first label indicating the defect; training a reconstruction model according to a second reference image of a second reference object associated with the first reference object, wherein a defect level of the second reference object is in a tolerable range with an upper limit; obtaining a target image of a target object associated with the first reference object and the second reference object; generating a second label according to the target image, the reconstruction model and an error calculation procedure, wherein the second label comprises a defect of the target object; and training a defect detector by performing a machine learning algorithm according to the first reference image, the target image and the second label. | 2021-12-09 |
20210383527 | AUTOMATED ARTIFACT DETECTION - A technique for generating a trained discriminator is provided. The technique includes applying one or more of a glitched image or an unglitched image to a discriminator; receiving classification output from the discriminator; adjusting weights of the discriminator to improve classification accuracy of the discriminator; applying noise to a generator; receiving an output image from the generator; applying the output image to the discriminator to obtain a classification; and adjusting weights of one of the discriminator or the generator to improve ability of the generator to reduce classification accuracy of the discriminator, based on the classification. | 2021-12-09 |
20210383528 | AUTOMATED ARTIFACT DETECTION - A technique for detecting a glitch in an image is provided. The technique includes providing an image to a plurality of individual classifiers to generate a plurality of individual classifier outputs and providing the plurality of individual classifier outputs to an ensemble classifier to generate a glitch classification. | 2021-12-09 |
20210383529 | METHOD, SYSTEM AND COMPUTER PROGRAM PRODUCT FOR 3D-NAND CDSEM METROLOGY - A method for process control of a semiconductor structure fabricated by a series of fabrication steps, the method comprising obtaining an image of the semiconductor structure indicative of at least two individual fabrication steps; wherein the image is generated by scanning the semiconductor structure with a charged particle beam and collecting signals emanating from the semiconductor structure; and processing, by a hardware processor, the image to determining a parameter of the semiconductor structure, wherein processing includes measuring step/s from among the fabrication steps as an individual feature. | 2021-12-09 |
20210383530 | DETECTING DEFECTS IN SEMICONDUCTOR SPECIMENS USING WEAK LABELING - A system of classifying a pattern of interest (POI) on a semiconductor specimen, the system comprising a processor and memory circuitry configured to: obtain a high-resolution image of the POI, and generate data usable for classifying the POI in accordance with a defectiveness-related classification, wherein the generating utilizes a machine learning model that has been trained in accordance with training samples comprising: a high-resolution training image captured by scanning a respective training pattern on a specimen, the respective training pattern being similar to the POI, and a label associated with the image, the label being derivative of low-resolution inspection of the respective training pattern. | 2021-12-09 |
20210383531 | FOREIGN MATTER INSPECTION SYSTEM AND FOREIGN MATTER INSPECTION METHOD - To provide a means that is less likely to misidentify a crack as a foreign matter during an image inspection in which a vibration is applied to a powder contained in a bag-like container. A foreign matter inspection system includes a vibration device configured to apply a vibration to a container, a photography device configured to optically photograph the inside of the container through a transparent area, and a determination device configured to determine whether a foreign matter is present inside the container based on an image of the container photographed by the photography device. The vibration device alternately applies weak vibrations W and strong vibrations S to the container, and the determination device determines whether the foreign matter is present inside the container based on the image of the container photographed by the photography device when the vibration device applies the weak vibrations W. | 2021-12-09 |
20210383532 | SYSTEMS AND METHODS FOR RESOURCE ANALYSIS, OPTIMIZATION, OR VISUALIZATION - A system and method for distributed surveillance of an area to monitor a process and visual effects of the process. Exemplary methods include, among others, asset effectiveness, issue identification and prioritization, workflow optimization, monitoring, estimation, verification, compliance, presentation, and/or identification for a given process. Such application may include, but are not limited to, manufacturing, quality control, supply chain management, and safety compliance. | 2021-12-09 |
20210383533 | MACHINE-LEARNING-BASED OBJECT DETECTION SYSTEM - In at least one embodiment, an object detection system uses a neural network to identify and/or locate a set of organs in a medical image. In at least one embodiment, when training to identify and/or locate a particular organ, a subset of incompletely-labeled training images is used that excludes training images for which labels associated with particular organ are unavailable. | 2021-12-09 |
20210383534 | SYSTEM AND METHODS FOR IMAGE SEGMENTATION AND CLASSIFICATION USING REDUCED DEPTH CONVOLUTIONAL NEURAL NETWORKS - Methods and systems are provided for segmenting and/or classifying images using convolutional neural networks (CNNs). In one embodiment, a method comprises, receiving an image having a first size, downsampling the image to produce a downsampled image of a pre-determined size, wherein the pre-determined size is less than the first size, feeding the downsampled image to a CNN, wherein a first convolutional layer of the CNN comprises a first plurality of convolutional filters, each of the first plurality of convolutional filters having a receptive field size larger than a threshold receptive field size, identifying one or more anatomical structures of the downsampled image using the first plurality of convolutional filters; and mapping the one or more anatomical structures to a segmentation map or image classification using one or more subsequent layers of the CNN. In this way, a number of encoding layers of the trained CNN may be substantially reduced. | 2021-12-09 |
20210383535 | GENERATING AND USING SYNTHETIC TRAINING DATA FOR PLANT DISEASE DETECTION - Implementations are described herein for automatically generating synthetic training images that are usable, for instance, as training data for training machine learning models to detect and/or classify various types of plant diseases at various stages in digital images. In various implementations, one or more environmental features associated with an agricultural area may be retrieved. One or more synthetic plant models may be generated to visually simulate one or more stages of a progressive plant disease, taking into account the one or more environmental features associated with the agricultural area. The one or more synthetic plant models may be graphically incorporated into a synthetic training image that depicts the agricultural area. | 2021-12-09 |
20210383536 | SPINAL FRACTURE DETECTION IN X-RAY IMAGES - Methods and systems for detecting a vertebral fracture within an x-ray. One method includes receiving a chest x-ray image and identifying a plurality of vertebrae represented in the chest x-ray image. The method further includes extracting a plurality of image patches from the chest x-ray image, each image patch of the plurality of image patches including a portion of the chest x-ray image representing one of the plurality of vertebrae identified in the chest x-ray image. The method further includes sequencing the plurality of image patches into an ordered sequence of image patches, and assigning, with a deep learning model applied to the ordered sequence of image patches, a classification to each of the plurality of image patches indicating whether the image patch represents a fractured vertebra or an unfractured vertebra. | 2021-12-09 |
20210383537 | SYNTHESIS OF CONTRAST ENHANCED MEDICAL IMAGES - Systems and methods for generating a synthesized contrast enhanced medical image are provided. An input medical image is received. A synthesized contrast enhanced medical image is generated based on the input medical image using a trained machine learning based generator network. The synthesized contrast enhanced medical image includes one or more synthesized contrast enhanced regions of pathological tissue. The synthesized contrast enhanced medical image is output. | 2021-12-09 |
20210383538 | MULTI-MODAL, MULTI-RESOLUTION DEEP LEARNING NEURAL NETWORKS FOR SEGMENTATION, OUTCOMES PREDICTION AND LONGITUDINAL RESPONSE MONITORING TO IMMUNOTHERAPY AND RADIOTHERAPY - Systems and methods for multi-modal, multi-resolution deep learning neural networks for segmentation, outcomes prediction and longitudinal response monitoring to immunotherapy and radiotherapy are detailed herein. A structure-specific Generational Adversarial Network (SSGAN) is used to synthesize realistic and structure-preserving images not produced using state-of-the art GANs and simultaneously incorporate constraints to produce synthetic images. A deeply supervised, Multi-modality, Multi-Resolution Residual Networks (DeepMMRRN) for tumor and organs-at-risk (OAR) segmentation may be used for tumor and OAR segmentation. The DeepMMRRN may combine multiple modalities for tumor and OAR segmentation. Accurate segmentation is may be realized by maximizing network capacity by simultaneously using features at multiple scales and resolutions and feature selection through deep supervision. DeepMMRRN Radiomics may be used for predicting and longitudinal monitoring response to immunotherapy. Auto-segmentations may be combined with radiomics analysis for predicting response prior to treatment initiation. Quantification of entire tumor burden may be used for automatic response assessment. | 2021-12-09 |
20210383539 | ORIENTATION DETECTION FOR 2D VESSEL SEGMENTATION FOR ANGIO-FFR - An apparatus for assessing a vessel of interest and a corresponding method are provided in which the modeling of the hemodynamic parameters using a fluid dynamics model can be verified by deriving feature values from the segmented vessel of interest and inputting these feature values into a classifier. The classifier may then determine, based on the feature values whether the segmentation has been performed from proximal to distal, from distal to proximal or cannot be determined from the provided data. An incorrect segmentation order can thus be identified and potentially be corrected, thereby avoiding inaccurate simulation results. | 2021-12-09 |
20210383540 | PARTIAL VOLUME ESTIMATION FROM SURFACE RECONSTRUCTIONS - Described herein are methods and systems for partial volume estimation (PVE) and correction of PVE of imaging data acquired or provided of a subject, The imaging data can include functional imaging data, in particular functional imaging data acquired using magnetic resonance (MR), arterial spin labeling (ASL), blood-oxygen level dependent (BOLD) magnetic resonance imaging (MRI), or positron emission tomography (PET) of the subject. | 2021-12-09 |
20210383541 | IMAGE PROCESSING APPARATUS, RADIOGRAPHY SYSTEM, IMAGE PROCESSING METHOD, AND IMAGE PROCESSING PROGRAM - A console includes a CPU as at least one processor. The CPU acquires a radiographic image obtained by imaging an imaging region where a patient is present, with a radioscopy apparatus. The CPU specifies a structure image that is included in the radiographic image and represents a structure of a specific shape having transmittance of radiation lower than the patient, based on the specific shape. The CPU executes image processing corresponding to the structure image to the radiographic image. | 2021-12-09 |
20210383542 | IMAGE PROCESSING APPARATUS, RADIOGRAPHY SYSTEM, IMAGE PROCESSING METHOD, AND IMAGE PROCESSING PROGRAM - A CPU acquires a radiographic image obtained by imaging an imaging region where a patient is present, with a radioscopy apparatus using radiation emitted from a radiation source and applied to an irradiation field adjusted by a collimator. The CPU specifies a structure image that is included in the radiographic image and represents a structure of a specific shape having transmittance of radiation lower than the patient, based on the specific shape. The CPU executes image processing corresponding to the structure image on a patient image region imaged by a radioscopy apparatus in a case where an irradiation field excluding a position of the structure is set as the irradiation field, in a region in the radiographic image. | 2021-12-09 |
20210383543 | RADIOGRAPHIC IMAGE PROCESSING DEVICE AND NON-TRANSITORY COMPUTER READABLE MEDIUM - A radiographic image processing device includes a radiographic image acquisition unit that acquires a plurality of radiographic images of a specific subject taken using radiations having energies different from each other, a structure recognition unit that recognizes structures, which is included in the subject, using the radiographic images, an attenuation coefficient calculation unit that calculates attenuation coefficients μ of the radiation for the structures, which are recognized by the structure recognition unit, using recognition results of the structure recognition unit and the plurality of radiographic images, and an image processing unit that performs image processing on the radiographic images using the attenuation coefficients. | 2021-12-09 |
20210383544 | SEMANTIC SEGMENTATION GROUND TRUTH CORRECTION WITH SPATIAL TRANSFORMER NETWORKS - An apparatus accesses label data and training images corresponding to a geographic area; and provides the label data and training images to a training model. The training model comprises of at least a predictor model and an alignment model. The predictor model is configured to receive an image and provide a prediction corresponding to the image. The alignment model is configured to generate a transformed prediction based on aligning the label data and the prediction. The apparatus executes a loss engine to iteratively receive the label data and the transformed prediction, evaluate a loss function based on the label data and the transformed prediction, and cause weights of the predictor model and the alignment model to be updated based on the evaluated loss function to cause the predictor and alignment models to be trained. | 2021-12-09 |
20210383545 | BIN FILTERING - Methods, systems, and devices for graphics processing are described. A device may receive an image including a set of pixels. The device may render a first subset of pixels in each bin of a set of bins during a first rendering pass, and defer rendering a second subset of pixels and a third subset of pixels in each bin of the set of bins during the first rendering pass. The second subset of pixels may include edge pixels and the third subset of pixels may be between the first subset of pixels and the second subset of pixels. The device may render the second subset of pixels and the third subset of pixels in each bin of the set of bins during a second rendering pass based on rendering the first subset of pixels. The device may then output the image based on the first and second rendering pass. | 2021-12-09 |
20210383546 | LEARNING DEVICE, IMAGE PROCESSING DEVICE, LEARNING METHOD, IMAGE PROCESSING METHOD, LEARNING PROGRAM, AND IMAGE PROCESSING PROGRAM - A learning device | 2021-12-09 |
20210383547 | MEDICAL IMAGE PROCESSING - There is described a method of generating data indicative of a condition of an internal organ, the method comprising: receiving a plurality of images representing the internal organ; receiving landmark data associated with a selected image of the plurality of images; processing the landmark data and the selected image to extract a region of interest in the plurality of images; and processing the region of interest in the plurality of images to generate data indicative of a condition of the internal organ. | 2021-12-09 |
20210383548 | PROCESSING THREE-DIMENSIONAL (3D) ULTRASOUND IMAGES - A first set of embodiments relates to an apparatus comprising one or more processors configured to: access three-dimensional (3D) ultrasound imaging of an eye; generate at least one segmented ocular structure by segmenting at least one ocular structure represented in the 3D ultrasound imaging using at least one deep learning ocular structure segmentation model configured to generate a predicted segmentation volume of the at least one ocular structure based on at least one portion of the 3D ultrasound imaging; compute at least one clinical metric associated with the at least one segmented ocular structure based on the at least one segmented ocular structure; and display at least one of: the at least one segmented ocular structure, the at least one clinical metric, the 3D ultrasound imaging, or at least one portion of the 3D ultrasound imaging. | 2021-12-09 |
20210383549 | IMAGE RECOGNITION METHOD AND RELATED APPARATUS BASED ON ARTIFICIAL INTELLIGENCE - An image recognition method includes: obtaining an image to be segmented, the image including a plurality of extremum points; generating image feature information according to the image, the image feature information including N image matrices and a heat map, and the heat map being generated according to the plurality of extremum points; determining an image segmentation region corresponding to the image feature information through an image segmentation model, the image segmentation model including N matrix input channels and a heat map input channel, the N matrix input channels having a one-to-one correspondence with the N image matrices, and the heat map input channel having a correspondence with the heat map; and generating an image recognition result of the image according to the image segmentation region. | 2021-12-09 |
20210383550 | METHOD AND COMPUTING SYSTEM FOR PERFORMING OR FACILITATING PHYSICAL EDGE DETECTION - A method and computing system for facilitating edge detection are presented. The computing system may include at least one processing circuit configured to receive image information representing a group of objects in a camera field of view, and to identify, from the image information, a plurality of candidate edges associated with the group of objects. The at least one processing circuit may further determine, when the plurality of candidate edges include a first candidate edge which is formed based on a border between a first image region and a second image region, whether the image information satisfies a defined darkness condition at the first candidate edge. The at least one processing circuit may further select a subset of the plurality of candidate edges to form a selected subset of candidate edges for representing the physical edges of the group of objects. | 2021-12-09 |
20210383551 | FIDUCIAL MARKER PATTERNS, THEIR AUTOMATIC DETECTION IN IMAGES, AND APPLICATIONS THEREOF - Fiducial markers are printed patterns detected by algorithms in imagery from image sensors for applications such as automated processes and augmented reality graphics. The present invention sets forth extensions and improvements to detection technology to achieve improved performance, and discloses applications of fiducial markers including multi-camera systems, remote control devices, augmented reality applications for mobile devices, helmet tracking, and weather stations. | 2021-12-09 |
20210383552 | LAYER BOUNDARY EVOLUTION FOR MACULAR OPTICAL COHERENCE TOMOGRAPHY SEGMENTATION - A device receives a two-dimensional (2-D) image that depicts a cross-sectional view of a retina that includes a macula comprised of layers and boundaries used to segment the layers. The device converts the 2-D image to a standardized format, determines features for voxels included in the 2-D image, and generates, by using a data model to process the features, probability maps that indicate likelihoods of the voxels being in positions within particular boundaries. The device analyzes the probability maps to determine an initial set of boundary positions and to generate directional vectors that point in directions based on values included in the set of probability maps, determines a final set of boundary positions by performing a layer boundary evolution technique using the directional vectors to refine the initial set of boundary positions, and provides data that identifies the final set of boundary positions for display via an interface. | 2021-12-09 |
20210383553 | SYSTEMS AND METHODS FOR SELF-SUPERVISED RESIDUAL FLOW ESTIMATION - A method includes generating a first warped image based on a pose and a depth estimated from a current image and a previous image in a sequence of images captured by a camera of the agent. The method also includes estimating a motion of dynamic object between the previous image and the target image. The method further includes generating a second warped image from the first warped image based on the estimated motion. The method still further includes controlling an action of an agent based on the second warped image. | 2021-12-09 |
20210383554 | ACTIVITY ZONES FOR CAMERA VIDEO - Methods and systems are provided for establishing an activity zone within video captured by a camera. A user device may establish an activity zone or an exclusion zone within video representing a physical view captured by the camera. An automatic monitoring system may analyze the video of the camera with respect to the activity zone or exclusion zone and trigger notifications that are associated with a zone so as to limit notifications transmitted to the user device to those notifications that are relevant to the user. With activity or exclusion zones video from a camera may be automatically monitored to reduce a volume of notifications transmitted to the user device. | 2021-12-09 |
20210383555 | DEVICE AND METHOD FOR COMPENSATING CROSSTALK OF IMAGE SENSOR HAVING MULTI-COLOR FILTER ARRAY - Disclosed is an electronic device which includes a processing block, a crosstalk compensation block, and a dark level compensation block. The processing block receives image data from an active pixel region of an image sensor and performs pre-processing on the image data. The crosstalk compensation block performs crosstalk compensation on the pre-processed image data. The dark level compensation block performs the crosstalk compensation on dark level data received from an optical black region of the image sensor and performs a subtraction operation on the crosstalk-compensated image data and the crosstalk-compensated dark level data. | 2021-12-09 |
20210383556 | OCCUPANT COUNTING DEVICE - A sensor may be configured to determine how many people that have entered or exited a space. The sensor may comprise a pyroelectric infrared (PIR) detection circuit capable of generating different output signal patterns in response to a person entering or exiting the space. The sensor may determine whether the person has entered or exited the space based on the output signal pattern. The sensor may include a thermopile array, a radar detection circuit, or a visible light sensing circuit. The thermopile array, radar detection circuit, or visible light sensing circuit may be capable of detecting a person's location and/or movements within an area monitored by the sensor and determining, based on the detected movements, whether the person has entered or left the space. An occupant count of the space may then be determined accordingly by the sensor or by a system controller. | 2021-12-09 |
20210383557 | IMAGE ALIGNMENT SETUP FOR SPECIMENS WITH INTRA- AND INTER-SPECIMEN VARIATIONS USING UNSUPERVISED LEARNING AND ADAPTIVE DATABASE GENERATION METHODS - Methods and systems for determining one or more alignment parameters for use in a process performed on a specimen are provided. One method includes determining measures of similarity between images generated by an imaging system for corresponding locations in each of two or more pairs of dies on a specimen and performing cluster analysis based on the determined measures of similarity to identify the images that are most similar to each other and to assign different subsets of the images that are most similar to each other to different die clusters, respectively. The method also includes separately determining one or more alignment parameters for two or more of the different die clusters. The one or more alignment parameters are used for aligning images generated by the imaging system for the specimen or another specimen to a common reference. | 2021-12-09 |
20210383558 | RECORDING MEDIUM, IMAGE PROCESSING APPARATUS, AND IMAGE PROCESSING METHOD - A non-transitory recording medium storing a computer readable program that causes a computer to perform position aligning, accuracy calculating, and image combining. The position aligning is performing position alignment of other frame images with respect to one reference frame image selected from among multiple frame images that form a dynamic image. The accuracy calculating is calculating an accuracy of the position alignment for each pixel of each of the other frame images. The image combining is combining the reference frame image with the other frame images after the position alignment to generate one composite still image. In the image combining, the computer performs weighting and generates the one composite still image, the weighting being processing of changing a composition ratio between the other frame images for each pixel according to the accuracy calculated by the accuracy calculating. | 2021-12-09 |
20210383559 | TIME-OF-FLIGHT CAMERA HAVING IMPROVED DYNAMIC RANGE AND METHOD OF GENERATING A DEPTH MAP - A time-of-flight camera for generating a depth map indicating distance(s) to target(s) includes a processor and multi-pixel time-of-flight image sensor. The camera: (a) determines, at each pixel, a plurality of phase-correlation values associated with at least one exposure duration and at least one phase offset; (b) determines for each pixel an accumulated correlation in response to the plurality of phase-correlation values; and (c) generates the depth map in response to a plurality of the accumulated correlations. | 2021-12-09 |
20210383560 | DEPTH MEASUREMENT ASSEMBLY WITH A STRUCTURED LIGHT SOURCE AND A TIME OF FLIGHT CAMERA - A depth measurement assembly (DMA) includes an illumination source that projects pulses of light (e.g., structured light) at a temporal pulsing frequency into a local area. The DMA includes a sensor that capture images of the pulses of light reflected from the local area and determines, using one or more of the captured images, one or more TOF phase shifts for the pulses of light. The DMA includes a controller coupled to the sensor and configured to determine a first set of estimated radial distances to an object in the local area based on the one or more TOF phase shifts. The controller determines a second estimated radial distance to the object based on an encoding of structured light and at least one of the captured images. The controller selects an estimated radial distance from the first set of radial distances. | 2021-12-09 |
20210383561 | CAMERA MODULE - A camera module according to an embodiment of the present invention comprises: a light output portion for successively outputting a first output light signal and a second output light signal, which are emitted to an object, during a single period; a lens portion for concentrating a first input light signal and a second input light signal, which are reflected from the object, the lens portion comprising an infrared (IR) filter and at least one lens disposed on the IR filter; an image sensor for generating a first electric signal and a second electric signal from the first input light signal and the second input light signal, which have been concentrated by the lens portion; a tilting portion for shifting optical paths of the first input light signal and the second input light signal according to a predetermined rule; and an image control portion for acquiring depth information of the object by using the first electric signal and a phase difference between the first output light signal and the first input light signal, and acquiring a 2D image of the object by using the second electric signal. | 2021-12-09 |
20210383562 | Off-axis Observation for Moving Target Ranging - To improve range and approach speed measurements of targets moving relative to a camera using computer vision techniques, aim the camera away from the direction to the target to capture the target closer to the edge of the field of view. | 2021-12-09 |
20210383563 | METHOD FOR QUANTITATIVELY IDENTIFYING THE DEFECTS OF LARGE-SIZE COMPOSITE MATERIAL BASED ON INFRARED IMAGE SEQUENCE - The present invention provides a method for quantitatively identifying the defects of large-size composite material based on infrared image sequence, firstly obtaining the overlap area of an infrared splicing image, and dividing the infrared splicing image into three parts according to overlap area: overlap area, reference image area and registration image area, then extracting the defect areas from the infrared splicing image to obtain P defect areas, then obtaining the conversion coordinates of pixels of defect areas according to the three parts of the infrared splicing image, and further obtaining the transient thermal response curves of centroid coordinate and edge point coordinates, finding out the thermal diffusion points from the edge points of defect areas according to a created weight sequence and dynamic distance threshold ε | 2021-12-09 |
20210383564 | ULTRASOUND IMAGE ACQUISITION METHOD, SYSTEM AND COMPUTER STORAGE MEDIUM - An ultrasound image acquisition method, comprising: on the basis of a received first collection instruction, determining a working mode of an ultrasound image acquisition system to be a first mode used for collecting a stereoscopic spatial image ( | 2021-12-09 |