Abstract: Broadly speaking, embodiments of the present techniques provide a method for reducing errors in the outputs of machine learning, ML, models on a potential output of the models to resolve any inconsistencies before outputting a final result from the models. The final result respects a set of rules or constraints, which may include logical constraints. Advantageously, this reduces the risk of a model outputting a result which violates some rules associated with the overall task of the model, which could be dangerous or provide a poor user experience.

Abstract: Disclosed are a point cloud encoding and decoding method and device based on a two-dimensional regularization plane projection. The encoding method includes: acquiring original point cloud data; performing two-dimensional regularization plane projection on the original point cloud data to obtain a two-dimensional projection plane structure; obtaining a plurality of pieces of two-dimensional image information according to the two-dimensional projection plane structure; and encoding the plurality of pieces of two-dimensional image information to obtain code stream information.

Abstract: An image recognition method and system for a display panel, a training method, and an electronic device and a non-volatile computer-readable storage medium. The image recognition method includes: acquiring an image of a display panel, wherein the image includes gate lines extending in a first direction and data lines extending in a second direction, the gate lines and the data lines intersecting to define a plurality of sub-pixel regions, and the image further includes a defect pattern; and recognizing the defect pattern in the image by using an image recognition model to obtain defect information, wherein the defect information includes at least one of a defect type or a defect position of the defect pattern, the image recognition model comprises a first attention model configured to learn a weight proportion of a feature of the defect pattern in the image.

Abstract: A method of 3D-inspection of a semiconductor object inside of an inspection volume of a wafer or wafer sample comprises a 3D data processing and a step for acquiring a plurality of two-dimensional images. The acquiring step comprises a monitoring step for determining whether a two-dimensional image is in conformity with a desired property of the 3D data processing. The disclosure further comprises a method of configuring the method of 3D-inspection and a system configured to execute the method of 3D-inspection as well as the method of configuring the method of 3D-inspection.

Abstract: One or more embodiments of the present disclosure describe an artificial intelligence assisted substrate defect repair apparatus and method. The AI assisted defect repair apparatus employs an object detection algorithm. Based on the plurality of images taken by detectors located at different respective positions, the detectors capture various views of an object including a defect. The composition information as well as the morphology information (e.g., shape, size, location, height, depth, width, length, or the like) of the defect and the object are obtained based on the plurality of images. The object detection algorithm analyzes the images and determines the type of defect and the recommends a material (e.g., etching gas) and the associated information (e.g., supply time of the etching gas, flow rate of the etching gas, etc.) for fixing the defect.

Abstract: Multiple image capture devices are located in an operating room to capture video of the entirety of the operating room. A surgical tracking server applies one or more models to the captured video to determine states of objects in the operating room from which a phase of the operating room is determined. A surgical time-out where information about a surgical procedure is audibly provided by people in the operating room during the surgical procedure. From audio and video of the operating room, the surgical tracking server determines whether the time-out was performed and identifies audio and video corresponding to the surgical time-out. The identified audio and video are compared to criteria to evaluate completeness of the surgical time-out. A quality metric for the time out based on the captured video data based on characteristics of the video or audio of the operating room may also be generated.

Abstract: A method of processing image data includes: receiving image data from a color filter array including N×N same color pixels; converting first pixel data in an N×N array into second pixel data in an (N?L)×(N?M) array, wherein the first pixel data is output from the N×N same color pixels; and generating third pixel data in the N×N array by performing reconstruction on the second pixel data, wherein each of “L” and “M” is a natural number that is greater than or equal to 1 and less than N, and “N” is a natural number that is greater than or equal to 2.

Abstract: The present disclosure provides for a system for facilitating a completely automated process that may directly fetch an imagery of a given location and area from any mapping module and extract a plurality of objects in the given imagery. Further, a deep learning-based object segmentation such as but not limited to a cascaded reverse mask RCNN framework method may generate a set of predefined vectors associated with the image. The system may be configured to automate the generation of the predefined vectors based on the image received from the image sensing assembly.

Abstract: An apparatus, system, method, and computer-readable medium include aspects for using surgical video analysis. The aspects utilize intracorporeal video footage, image analysis, and notifications to optimize correspondences among medical procedure information, medical guidelines, and medical transaction information.

Abstract: The present disclosure discloses a method for positioning. The method may include obtaining a scout image of a target object and inputting the scout image of the target object into a positioning model. The method may also include determining a positioning frame in the scout image based on an output result of the positioning model. The positioning model may be obtained by training based on training scout images and information of the gold standard positioning frames. Each of the gold standard positioning frames may be in, from, or determined based on one of the training scout images and used for scanning.

Abstract: A labeling method and a computing device by detecting lesion region in images using a learned network function. The method includes obtaining a medical image, detecting and displaying a region of interest corresponding to at least one subject disease through a learned network function, and labeling a lesion region corresponding to the at least one subject disease on the medical image according to the region of interest and user inputs. The labeling includes receiving a first user input for choosing a selected region within the region of interest, setting a reference pixel value based on the selected region, detecting and displaying a lesion estimation region having pixel values within a predetermined range from the reference pixel value, and correcting the lesion estimation region according to a second user input to label the lesion region.

Abstract: A stop line detection apparatus recognizes a boundary line of a lane on which the host vehicle travels, and detect a stop line at an intersection in front of the host vehicle. The apparatus sets an intersection area corresponding to the intersection in the road on which the host vehicle travels on the basis of a captured image by a front camera of the host vehicle, detects a crosswalk in the intersection area, a stop line search area setting unit configured to set a stop line search area extending from the crosswalk toward a front side in the lane on which the host vehicle travels, and performs stop line detection in the stop line search area. A depth of the stop line search area in an extending direction of a traveling lane is smaller than twice a depth of the crosswalk.

Abstract: An improved apparatus and method for extracting pattern contour information from an inspection image in a multiple charged-particle beam inspection system are disclosed. An improved method for extracting pattern contour information from an inspection image comprises identifying, from an inspection image obtained from a charged-particle beam inspection system, a first pattern and a second pattern that partially overlap in the inspection image. The method also comprises generating a first separation image by removing an image area corresponding to the second pattern from the inspection image. The first separation image includes the first pattern of which a first part is removed when removing the image area corresponding to the second pattern. The method also comprises updating the first separation image to include image data representing the removed first part of the first pattern based on a first reference image corresponding to the first pattern.

Abstract: A method, apparatus and system for prediction of a neonatal brain development prognosis, using a pregenerated brain neurodevelopment prediction model. The apparatus includes a computing device, which includes a memory; and at least one processor performing communication with the memory. The processor is configured to extract cerebral blood flow (CBF) and brain tissue relaxation times T1 and T2 from the input magnetic resonance imaging (MRI) of a subject newborn, generate brain neurodevelopment prediction data of the subject newborn using a pregenerated brain neurodevelopment prediction model, and control the output of the generated brain neurodevelopment prediction data of the subject newborn.

Abstract: A stacking inspection apparatus includes: camera units that generate an aligned image by photographing four corner points of the outer periphery of the electrode plates or the unit cells at an upper part in a stacking direction of the electrode plates or the unit cells; and light irradiation units that irradiate light signals to four corner of the inspection object, and sensors that recognize the light signal irradiated from the light irradiation units and determine whether or not alignment of the first electrode plate and the second electrode plate is defective.

Abstract: A method for determining a charge characteristic of electrical charges of particles in a fluid stream includes directing the fluid stream containing particles through a fluid line. Then a spatially-resolved determination of a measuring field-less particle velocity in a measurement area without an electrical measuring field is performed. An electrical measuring field is applied transverse to the flow direction in the measurement area. A spatially-resolved determination of a midfield particle velocity in the measurement area is determined. At least one charge characteristic which denotes an electrostatic charge of the particles is determined from the spatially-resolved particle velocities.

Abstract: An image processing method according to the present disclosure includes the steps of receiving at least one piece of image data as an input, assigning a plurality of feature points to the image data, and modifying a part of the image data based on a feature line generated by connecting at least two of the plurality of feature points or a feature region generated by connecting at least three of the plurality of feature points.

Abstract: Embodiments of the present application provide a method and apparatus of determining a dispensing position, a dispensing system for batteries, an electronic device and a medium. The method of determining a dispensing position includes receiving an image of a battery module, processing the image to obtain a contour feature image of at least one object on the battery module, and determining, based on the contour feature image, a dispensing position of the at least one object.

Abstract: Disclosed herein are methods, systems, and computer-readable media for generating and using unbinned image data, characterized by (a) receiving image data corresponding to an image; (b) generating the unbinned image data by performing an unbinning operation on the received image data, wherein the unbinning operation is characterized by conditions of invertibility and smoothness; and (c) using the unbinned image data for either: (i) displaying a version of the image based on the unbinned image data; and/or (ii) performing image processing.

Abstract: Apparatus, system, method, and computer-readable medium aspects for using surgical video analysis for improving compliance with medical guidelines and improving processing of medical bills, medical malpractice claims, and insurance claims are described. The aspects utilize intracorporeal video footage, image analysis, and notifications to optimize correspondences among medical procedure information, medical guidelines, and medical transaction information.