34th week of 2022 patent applcation highlights part 55 |
Patent application number | Title | Published |
20220270196 | SYSTEM AND METHOD FOR CREATING AND TRANSMITTING AN INCENTIVIZED OR MANDATED SERIOUS GAME SAFETY TEST TO OCCUPANTS OR USERS OF LIABLE PROPERTY IN AN ORGANIZATION - System and method for creating/executing an occupant safety test in a structure of an organization having a plurality of courses. The plurality of courses includes germ safe test, occupant exit test, and safety check test. The system adds contextual maps/diagrams corresponding to the physical zone and the fixtures in each zone of the structure. The system adds virtual fixtures/objects over the contextual maps/diagrams of the zone. The system attaches a game marker beside the virtual fixtures/objects. The game marker stores information corresponding to the virtual fixtures/objects for each of the germ safe test, occupant exit test, and safety check test. The system transmits the occupant safety test created to the occupant. The occupant executes the occupant safety test by identifying the game marker to get familiarized with corresponding physical location of the fixtures or safety equipment or incidents in the structure. | 2022-08-25 |
20220270197 | IMAGE CAPTURING METHOD AND DISPLAY METHOD FOR RECOGNIZING A RELATIONSHIP AMONG A PLURALITY OF IMAGES DISPLAYED ON A DISPLAY SCREEN - An image capturing apparatus includes a capture part acquiring image data, and a display displaying an image on a display based on the image data. First information acquired includes at least either an azimuth angle or an elevation angle as a direction of the image and at least either an angle of view of the image or angle-of-view related information calculating the angle of view. When a second direction of a second image is included within a range of a first angle of view in a first direction of a first image, the second image is associated with the first image, and the first image is displayed within the display, and display is performed in a state in which the second image to be associated with the first image is overlapped on the first image within the display as the second image or second information indicating the second image. | 2022-08-25 |
20220270198 | ELECTRONIC APPARATUS AND CONTROL METHOD THEREOF - An electronic apparatus includes a camera; a gripper configured to grip a grip target object; a memory configured to store a neural network model; and a processor configured to: obtain movement information and rotation information of the gripper by inputting at least one image captured by the camera to the neural network model, and control the gripper based on the movement information and the rotation information. The at least one image includes at least a part of the gripper and at least a part of the grip target object, and the neural network model is configured to output the movement information and the rotation information for positioning the gripper to be adjacent to the grip target object, based on the at least one image, the movement information includes one of a first direction movement, a second direction movement, or a movement stop of the gripper, and the rotation information includes one of a first direction rotation, a second direction rotation, or a non-rotation of the gripper. | 2022-08-25 |
20220270199 | LEARNING SYSTEMS AND METHODS - A sequence of images depicting an object is captured, e.g., by a camera at a point-of-sale terminal in a retail store. The object is identified, such as by a barcode or watermark that is detected from one or more of the images. Once the object's identity is known, such information is used in training a classifier (e.g., a machine learning system) to recognize the object from others of the captured images, including images that may be degraded by blur, inferior lighting, etc. In another arrangement, such degraded images are processed to identify feature points useful in fingerprint-based identification of the object. Feature points extracted from such degraded imagery aid in fingerprint-based recognition of objects under real life circumstances, as contrasted with feature points extracted from pristine imagery (e.g., digital files containing label artwork for such objects). A great variety of other features and arrangements—some involving designing classifiers so as to combat classifier copying—are also detailed. | 2022-08-25 |
20220270200 | Processing Received Pixel Values in an Image Processing System Using Pixel Value Subset Groups - Data processing systems (e.g. image processing systems) and methods are provided for processing a stream of data values (e.g. pixel values). The image processing system comprises a processing module configured to: receive a plurality of pixel values; and implement processing of a particular pixel value by operating on a particular subset of the received pixel values, by: defining a set of one or more groups into which pixel values within the particular subset can be grouped; classifying each of the pixel values within the particular subset into one of the groups of the set of one or more groups based on the value of that pixel value; processing the particular pixel value using one or more of the pixel values of the particular subset in dependence on the classification of the pixel values of the particular subset into the one or more groups; and outputting the processed particular pixel value. | 2022-08-25 |
20220270201 | INTEGRATING PREDETERMINED VIRTUAL TOURS FOR REAL-TIME DELIVERY ON THIRD-PARTY RESOURCES - Integrating virtual tours on digital resources is provided. A system receives a call generated by a client application executed on a client device responsive to a refresh of a digital resource. The system identifies a request for content for display in a content slot on the digital resource having a content slot size. The system transmits, to the client device, a viewer application configured to execute a priority caching function in the content slot. The viewer application downloads, based on the priority caching function and a computing characteristic of the client device, a first portion of a virtual tour. The viewer application renders the first portion of the virtual tour via the content slot. The viewer application establishes a controller that controls rendering of the virtual tour in response to a detection of an interaction on the digital resource outside the content slot. | 2022-08-25 |
20220270202 | Modifying Processing of Commands in a Command Queue Based on Accessed Data Related to a Command - Processing of commands at a graphics processor are controlled by receiving input data and generating a command for processing at the graphics processor from the input data, wherein the command will cause the graphics processor to write out at least one buffer of data to an external memory, and submitting the command to a queue for later processing at the graphics processor. Subsequent to submitting the command, but before the write to external memory has been completed, further input data is received and it is determined that the buffer of data does not need to be written to external memory. The graphics processor is then signalled to prevent at least a portion of the write to external memory from being performed for the command. | 2022-08-25 |
20220270203 | GPU-BASED DATA JOIN - Disclosed are various embodiments for performing a join operation using a graphics processing unit (GPU). The GPU can receive input data including sequences or tuples. The GPU can initialize a histogram in a memory location shared by threads. The GPU can build the histogram of hash values for the sequences. The GPU can reorder the sequences based on the histogram. The GPU can probe partitions and store the results in a buffer pool. The GPU can output the results of the join. | 2022-08-25 |
20220270204 | IMAGE REGISTRATION METHOD, TERMINAL, AND COMPUTER STORAGE MEDIUM - An image registration method includes: obtaining a first image and a second image; dividing the first image into blocks to obtain image blocks of the first image; determining, based on a pixel value of each image block, a similar image block of the image block from the second image by invoking a predetermined image block similarity algorithm; calculating, based on position information of the image block and position information of the similar image block, a movement amount of the image block of the first image; performing a clustering on the first image based on a depth value of the first image, the movement amounts of the image blocks, and position information of the first image, to generate clustered image blocks; and moving, when the clustered image blocks satisfy a predetermined condition, the image blocks based on the movement amounts of the image blocks, to obtain a registered image. | 2022-08-25 |
20220270205 | REFERENCE IMAGE GENERATION APPARATUS, DISPLAY IMAGE GENERATION APPARATUS, REFERENCE IMAGE GENERATION METHOD, AND DISPLAY IMAGE GENERATION METHOD - Moving images of a space, which includes objects | 2022-08-25 |
20220270206 | DEVICES, SYSTEMS AND METHODS FOR DIGITAL IMAGE ANALYSIS - The disclosed devices, systems and methods relate to various devices, systems and methods related to objectively analyzing digital images of turfgrass to rate various parameters and to objectively measure overall quality. The system establishes thresholds and may execute a series of steps to determine green coverage, color, density, and uniformity. The system can scale images to determine uniformity. | 2022-08-25 |
20220270207 | IMAGE PROCESSING METHOD, APPARATUS, DEVICE, AND COMPUTER-READABLE STORAGE MEDIUM - Embodiments of this application provide an image processing method, apparatus, device, and computer-readable storage medium. The method includes: obtaining an image; determining eigenvectors of pixels in the image and determining neighborhood image blocks corresponding to the pixels; processing the eigenvectors and the neighborhood image blocks of the pixels by using a lightweight neural network model, to obtain a target image after processing, the lightweight neural network model being obtained by performing lightweight processing on a trained neural network model; and outputting the target image, wherein the target image has a higher resolution than that of the image. | 2022-08-25 |
20220270208 | BLENDED NEURAL NETWORK FOR SUPER-RESOLUTION IMAGE PROCESSING - Embodiments relate to a super-resolution engine that converts a lower resolution input image into a higher resolution output image. The super-resolution engine includes a directional scaler, an enhancement processor, a feature detection processor, a blending logic circuit, and a neural network. The directional scaler generates directionally scaled image data by upscaling the input image. The enhancement processor generates enhanced image data by applying an example-based enhancement, a peaking filter, or some other type of non-neural network image processing scheme to the directionally scaled image data. The feature detection processor determines features indicating properties of portions of the directionally scaled image data. The neural network generates residual values defining differences between a target result of the super-resolution enhancement and the directionally scaled image data. The blending logic circuit blends the enhanced image data with the residual values according to the features. | 2022-08-25 |
20220270209 | REMOVING COMPRESSION ARTIFACTS FROM DIGITAL IMAGES AND VIDEOS UTILIZING GENERATIVE MACHINE-LEARNING MODELS - The present disclosure relates to an image artifact removal system that improves digital images by removing complex artifacts caused by image compression. For example, in various implementations, the image artifact removal system builds a generative adversarial network that includes a generator neural network and a discriminator neural network. In addition, the image artifact removal system trains the generator neural network to reduce and eliminate compression artifacts from the image by synthesizing or retouching the compressed digital image. Further, in various implementations, the image artifact removal system utilizes dilated attention residual layers in the generator neural network to accurately remove compression artifacts from digital images of different sizes and/or having different compression ratios. | 2022-08-25 |
20220270210 | METHOD AND DEVICE FOR RESTORING IMAGE OBTAINED FROM ARRAY CAMERA - Provided is an image restoration method of restoring an image obtained through an array camera, the image restoration method including obtaining a plurality of images through lens elements included in the array camera, obtaining a global parameter of the plurality of images, generating first processed images by transforming a viewpoint of each of the plurality of images based on the obtained global parameter, obtaining a local parameter for each pixel corresponding to each of the first processed images, generating second processed images by transforming the first processed images based on the obtained local parameter, and generating a synthesized image of a target viewpoint based on synthesizing the second processed images. | 2022-08-25 |
20220270211 | IMAGE PROCESSING APPARATUS, IMAGE PICKUP APPARATUS, IMAGE PROCESSING METHOD, AND STORAGE MEDIUM - An image processing apparatus includes at least one processor or circuit configured to execute a plurality of tasks including an image acquiring task configured to acquire a first image and a second image that have been obtained by imaging at imaging positions different from each other, an image restoration processing task configured to acquire a first restored image and a second restored image by performing image restoration processing for the first image and the second image respectively, and a pixel increasing processing task configured to acquire a pixel increased image using the first restored image and the second restored image. | 2022-08-25 |
20220270212 | METHODS FOR IMPROVING OPTICAL INSPECTION AND METROLOGY IMAGE QUALITY USING CHIP DESIGN DATA - A system and method for enhancing image quality. The system and method acquire a machine learning model trained for correlating one or more training images and one or more training design images. The system and method receive one or more sample specimen images corresponding to one or more features of a sample specimen. The system and method enhance the one or more sample specimen images by generating one or more enhanced images with the machine learning model based on at least the one or more sample specimen images. | 2022-08-25 |
20220270213 | METHOD AND SYSTEM FOR THREE-DIMENSIONAL NOISE REDUCTION AND CONTRAST ENHANCEMENT OF IMAGES - Embodiments of the present invention disclose a system and method for reducing noise in a digital image. The method comprises calculating a spatial weight for each pixel s in a current frame, wherein said spatial weight is computed based on a summation of diffused values associated with the pixel s; and selectively filtering an intensity I of the pixel s spatially using said spatial weight. | 2022-08-25 |
20220270214 | ADJUSTING A PARAMETER FOR NOISE SUPPRESSION IN X-RAY IMAGING - An object of this disclosure is to allow dose-specific alteration of the noise suppression in X-ray images, wherein the image quality may change only below the threshold of perceptibility. To achieve this, a method is provided for adjusting a parameter for noise suppression in X-ray imaging, in which quality functions are determined in relation to a variation of a noise suppression parameter. Maximum values of the variation are set for each quality function based on a threshold value. The variability of the noise suppression parameter may be limited according to the X-ray dose up to the set maximum value. | 2022-08-25 |
20220270215 | METHOD FOR APPLYING BOKEH EFFECT TO VIDEO IMAGE AND RECORDING MEDIUM - A method for applying a bokeh effect to a video image in a user terminal is provided. The method for applying a bokeh effect includes extracting characteristic information of an image from the image included in the video image, analyzing the extracted characteristic information of the image, selecting a bokeh effect to be applied to the image based on the analyzed characteristic information of the image, and applying the determined bokeh effect to the image. | 2022-08-25 |
20220270216 | Videoconferencing with Adaptive Lens Distortion-Correction and Image Deformation-Reduction - A videoconferencing endpoint can adaptively adjust for lens distortion and image deformation depending on the distance of the subject from a camera and the radial distance of the subject from the center of the camera's field of view. | 2022-08-25 |
20220270217 | REPROJECTION AND WOBULATION AT HEAD-MOUNTED DISPLAY DEVICE - A head-mounted display device including one or more position sensors and a processor. The processor may receive a rendered image of a current frame. The processor may receive position data from the one or more position sensors and determine an updated device pose based on the position data. The processor may apply a first spatial correction to color information in pixels of the rendered image at least in part by reprojecting the rendered image based on the updated device pose. The head-mounted display device may further include a display configured to apply a second spatial correction to the color information in the pixels of the rendered image at least in part by applying wobulation to the reprojected rendered image to thereby generate a sequence of wobulated pixel subframes for the current frame. The display may display the current frame by displaying the sequence of wobulated pixel subframes. | 2022-08-25 |
20220270218 | METHOD AND APPARATUS FOR CALIBRATING AUGMENTED REALITY HEADSETS - An AR calibration system for correcting AR headset distortions. A calibration image is provided to an external screen and viewable through a headset reflector, and an inverse of the calibration image is provided to a headset display, reflected off the reflector and observed by a camera of the system while it is simultaneously observing the calibration image on the external screen. One or more cameras are located to represent a user's point of view and aligned to observe the inverse calibration image projected onto the reflector. A distortion mapping transform is created using an algorithm to search through projection positions of the inverse calibration image until the inverse image observed by the camera(s) cancels out an acceptable portion of the calibration image provided to the external screen as observed through the reflector by the camera, and the transform is used by the headset, to compensate for distortions. | 2022-08-25 |
20220270219 | IMAGE CORRECTION METHOD, TERMINAL DEVICE AND STORAGE MEDIUM - An image correction method, a terminal device and a non-transitory computer readable storage medium are provided. The method includes: extracting human face attributes of an image; acquiring, from target regions, a first region having a human face correction attribute; acquiring, from the target regions, a second region having a human face protection attribute; and performing image correction on the human face in the first region, and performing pixel compensation, according to background pixels of the image, on a blank region generated by the image correction in the first region. | 2022-08-25 |
20220270220 | APPARATUS, METHOD, AND STORAGE MEDIUM - Due to the influence of luminance contrast between objects, the luminance of each object may be perceived as being different from the actual luminance, and a difference may occur between the appearance of an output based on input image data having a wide luminance range when the output is observed and the appearance of an output based on output image data having a narrow luminance range when the output is observed. The contrast intensity between the objects is calculated, and a dynamic range compression process is performed based on the calculated contrast intensity, so that it is possible to reduce the difference in appearance due to the influence of luminance contrast. | 2022-08-25 |
20220270221 | IMAGE PROCESSING APPARATUS AND CONTROL METHOD THEREOF - An image processing apparatus that records a high dynamic range (HDR) signal as a file. The apparatus acquires information indicating peak luminance corresponding to one output dynamic range, of a plurality of different output dynamic ranges, in accordance with shooting settings of the HDR signal. The apparatus then records a first value based on the acquired information to the file along with the HDR signal. | 2022-08-25 |
20220270222 | IMAGE PROCESSING DEVICE, RANGING DEVICE, AND METHOD - According to one embodiment, an image processing device includes storage and a processor. The storage is configured to store a statistical model generated by learning bokeh that occurs in a first image affected by aberration of an optical system and varies non-linearly in accordance with a distance to a subject in the first image. The processor is configured to acquire a second image affected by the aberration of the optical system, perform color correction on the second image to reduce a number of colors expressed in the second image, and input a third image, obtained by performing the color correction on the second image, into the statistical model and acquire first distance information indicating a distance to a subject in the third image. | 2022-08-25 |
20220270223 | IMAGE PROCESSING DEVICE AND A METHOD FOR IMAGE ENHANCEMENT - The disclosure provides an image processing device. An image processing device includes a neural network circuit, a gain control circuit, and an image merge circuit. The neural network circuit is configured to receive an input image, and perform an image processing operation on the input image according to fixed parameters to output a first intermediate image. The gain control circuit, coupled to the neural network circuit, is configured to receive the first intermediate image from the neural network circuit, and multiply the first intermediate image by at least one amplitude gain to output a second intermediate image. The image merge circuit, coupled to the gain control circuit, configured to receive the second intermediate image and the input image, and combine the second intermediate image and the input image to obtain an output image. In addition, a method for image enhancement is also provided. | 2022-08-25 |
20220270224 | IMAGE DEPENDENT CONTENT INTEGRATING METHOD - An image dependent content integrating method performed in a computer system includes a first data storing operation in which at least one processor included in the computer system stores a first image for a first object and a first dependent content dependent on the first object, a second data storing operation in which the at least one processor stores a second image for a second object and a second dependent content dependent on the second object, an indicator calculating operation in which the at least one processor calculates a probability indicator that the first object and the second object are the same object by comparing first object characteristic information for the first image with second object characteristic information for the second image, an image integrating operation in which the at least one processor stores the first image and the second image as an image for an integrated object, and a dependent content integrating operation in which the at least one processor stores the first dependent content and the second dependent content as dependent content for the integrated object when the probability indicator is equal to or greater than the reference value. | 2022-08-25 |
20220270225 | DEVICE BASED ON MACHINE LEARNING - An image processing device includes a convolutional neural network (CNN) architecture configured to perform at least one of denoising, deblurring, dehazing, and color correction on an input. The input comprises a plurality of low-quality input images having different exposure values captured for the same object at the same time by a camera under display (CUD) to render a high-quality output image. The CNN architecture is trained using a set of training images including a plurality of low-quality training images having different exposure values and a high-quality training image corresponding to the plurality of low-quality training images. | 2022-08-25 |
20220270226 | IMAGE PROCESSING DEVICE - An image processing device includes first image processing part, and first image processing part includes first pixel group setting part that sets plurality of first pixel groups which is set to correspond to first pixel, and which is disposed along in plurality of directions that form plurality of angles different from each other with respect to predetermined direction in first image or which is disposed along in predetermined direction in each of plurality of images obtained by moving first image by plurality of angles different from each other with respect to predetermined direction, first calculation part configured to calculate plurality of first candidate pixel values based on size of pixel value of pixel included in each of plurality of first pixel groups, and first pixel value setting part that sets pixel value of second pixel of second image based on plurality of first candidate pixel values. | 2022-08-25 |
20220270227 | RIG POWER SYSTEM EFFICIENCY OPTIMIZATION THROUGH IMAGE PROCESSING - A method includes receiving, by a computer system, a video of a visible state of a component of a generator, the generator powering at least a portion of a rig equipment system at a wellsite. The computer system can determine an operational parameter based on the visible state of the component of the generator imaged in the video, and can transmit the operational parameter to an output device. | 2022-08-25 |
20220270228 | METHOD AND APPARATUS FOR OBTAINING INFORMATION - A method and an apparatus for obtaining information are provided. The method may include: obtaining at least one image feature from a to-be-inspected image, where the to-be-inspected image includes an image of a to-be-inspected item, and the image feature is used to represent surface feature information of the to-be-inspected item; and importing the to-be-inspected image and the at least one image feature into a pre-trained defect detection model to obtain defect information corresponding to the to-be-inspected item, where the defect detection model is obtained by training using a sample image, a sample image feature and sample defect information, and configured to represent a corresponding relationship between the to-be-inspected image and the at least one image feature. | 2022-08-25 |
20220270229 | AUTOMATED DETECTION OF CARTON DAMAGE - Methods and systems for automated detection of carton defects are disclosed. One method includes capturing one or more images of a carton via a camera system at a routing location within a warehouse of a retail supply chain, and applying a machine learning model to determine a likelihood of damage of the carton. The method can include, based on the likelihood of damage being above a particular threshold, identifying the carton as damaged. A carton assessment record can be stored in a carton damage tracking database, including the one or more images of the carton alongside the likelihood of damage and the routing location. | 2022-08-25 |
20220270230 | DETECTING ROOF LEAKS - Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for detecting roof leaks. The methods, systems, and apparatus include actions of obtaining an indication that precipitation is forecasted to occur at a particular time at a property, obtaining, before the particular time, a first image of a ceiling of an attic of the property, obtaining, after obtaining the first image, a second image of the ceiling of the attic of the property, and detecting, based on differences between the first image and the second image, a water leak at the property. | 2022-08-25 |
20220270231 | Circuit Device, Electronic Apparatus, And Image Processing Method - A circuit device includes an image processing circuit, a CRC calculation circuit, and a determination circuit. Processing target image data obtained by adding known image data to effective image data is input to the image processing circuit, and the image processing circuit executes image processing on the processing target image data. The image processing circuit outputs processed effective image data which is the effective image data subjected to the image processing and processed known image data which is the known image data subjected to the image processing. The CRC calculation circuit obtains a CRC value based on the processed known image data. The determination circuit determines correctness of the image processing by comparing the CRC value with a CRC expected value of the processed known image data. | 2022-08-25 |
20220270232 | APPARATUS FOR ADJUSTING PARAMETER RELATED TO DEFECT DETECTION FOR IMAGE PROCESSING FOR IMAGE PROCESSING, METHOD FOR INFORMATION PROCESSING, AND PROGRAM - An apparatus includes a display control unit, a receiving unit, an adjusting unit, and a determination unit. The display control unit is configured to display an image showing a result of detection of a defect from a captured image of a structure on a display device. The receiving unit is configured to receive an operation to specify part of the displayed image as a first region and an operation to give an instruction to correct at least part of the detection data corresponding to the first region. The adjusting unit is configured to adjust a parameter to be applied to the first region according to the instruction. The determination unit is configured to determine one or more second regions to which the adjusted parameter is to be applied from a plurality of segmented regions of the image. | 2022-08-25 |
20220270233 | OPTICAL DEVICE AND DIRT LEVEL DETERMINING METHOD - An optical device, comprising: a processing circuit; a light source, configured to emit light to a surface; and an optical sensor, configured to sense optical data generated based on reflected light or scattering light of the light. The processing circuit computes a dirt level of the surface according to the optical data. | 2022-08-25 |
20220270234 | AUTOMATED OPTICAL INSPECTION METHOD, AUTOMATED OPTICAL INSPECTION SYSTEM AND STORAGE MEDIUM - An automated optical inspection method, an automated optical inspection system, and a storage medium are provided. The method includes the following. An original image including first images of a target object is captured by an optical lens. An edge detection is performed on the original image to obtain an edge image including second images having an edge pattern. At least one of maximum, minimum, and average values of a pixel value in the second images is calculated. The edge image is divided into image blocks according to a unit area, and characteristic values are calculated according to the at least one of the maximum, minimum, and average values corresponding to the second images included in the image blocks. An optimal regression model is obtained by training a regression model corresponding to a defect of the target object according to the characteristic values and a data of the target object. | 2022-08-25 |
20220270235 | FRACTURE SURFACE ANALYSIS APPARATUS AND FRACTURE SURFACE ANALYSIS METHOD - Provided are a fracture surface analysis apparatus and a fracture surface analysis method which enable a non-expert to conduct a fracture surface analysis just as well as an expert does. This fracture surface analysis apparatus is characterized by including a microscopic region observation unit that is provided with a first means for calculating an accuracy of fracture mode by using a first observation image, of a microscopic region of a to-be-analyzed object, acquired by an imaging means, a second means for calculating an observation condition for improving the accuracy of the fracture mode, and a third means for adjusting conditions for imaging the microscopic region by the imaging means, and that outputs the accuracy of fracture mode and the observation condition for improving the accuracy of fracture mode to a visualization means. | 2022-08-25 |
20220270236 | IMAGE-BASED DEFECT DETECTIONS IN ADDITIVE MANUFACTURING - A computing system may include an access engine and a defect detection engine. The access engine may be configured to access a slice contour of a given layer of a 3-dimensional (3D) object designed for manufacture through an additive manufacturing process and obtain hatch tracking for the slice contour, the hatch tracking representative of an energy path to melt metal powder for constructing the given layer through the additive manufacturing process. The defect detection engine may be configured to construct, from the slice contour, an as-built image for the given layer by rendering the hatch tracking in the slice contour; construct, from the slice contour, an idealized image for the given layer; and identify defects in the given layer via image analysis between the as-built image and the idealized image. | 2022-08-25 |
20220270237 | DEFECT CLASSIFICATION AND SOURCE ANALYSIS FOR SEMICONDUCTOR EQUIPMENT - Defects on a substrate comprising electronic components can be classified with a computational defect analysis system that may be implemented in multiple stages. For example, a first stage classification engine may process metrology data to produce an initial classification of defects. A second stage classification engine may use the initial classification, along with manufacturing information and/or prior defect knowledge to output probabilities that the defects are caused by one or more potential sources. | 2022-08-25 |
20220270238 | SYSTEM, DEVICE, PROCESS AND METHOD OF MEASURING FOOD, FOOD CONSUMPTION AND FOOD WASTE - The system, device, process and method of measuring food, food consumption and waste with image recognition and sensor technology is presented to empower cafeterias, processors, quick service restaurants, and other institutions and locations to reduce food waste. Using kitchen and consumer data, the system allows food providers to characterize key food properties, optimize portion sizing, ingredient combinations, and meal preparation, to maximize profits and minimize excess. The current system, process and method optimize the food chain uses analytics and prediction insights. Gathering data through the use of a sensor package (typically including a camera system), and/or smartphone application, a digital platform is then used to give insights to institutions over time. This feedback includes food supplier changes, quality reports, preparation changes, portion sizing, ingredient usage, and customer feedback. | 2022-08-25 |
20220270239 | SYSTEMS AND METHODS FOR COLOR AGNOSTIC MATERIAL FACE DETECTION - Various examples are provided related to face identification of material. An image can be captured by a vision system and feature parameters determined and compared to a material feature database to determine which face of the material is being presented. The vision system can employ a set of parameters for configuration to acquire the image. The system can communicate the identification to downstream processes in real time. A near-universal, color agnostic, angular orientation independent identification of material faces can be determined without the need for physical manipulation of the material. | 2022-08-25 |
20220270240 | FULLY AUTOMATIC INLINE PROCESSING FOR PC-MRI IMAGESFULLY AUTOMATIC INLINE PROCESSING FOR PC-MRI IMAGES USING MACHINE LEARNING - Systems and methods for automatic processing of input medical images are provided. A set of input medical images acquired at a plurality of locations on a patient is received. For each respective location of the plurality of locations, an image quality score is determined for each input medical image of the set of input medical images acquired at the respective location and one of the input medical images acquired at the respective location is selected based on the image quality scores. The selected input medical images are processed to correct for errors. One or more regions of interest are segmented from the processed selected input medical images. One or more hemodynamic measures are calculated from the processed selected input medical images based on the segmented one or more regions of interest. The calculated one or more hemodynamic measures are output. | 2022-08-25 |
20220270241 | System and Method for Measuring Edema at Home and Measurement Pattern for Use Therewith - A system and method for measuring edema, at home, is provided, along with a measuring pattern for use therewith. The system includes a computing system that has an imaging device, a processor, a memory, and a wireless transmitter. The computing system is configured to capture edema data of a patient and send the data to a remote doctor. The pattern can be incorporated into a flexible sheet substrate that can be placed over a portion of a patient's skin. By pressing the flexible sheet substrate into the patient, a depression is formed and the pattern is distorted. The imaging device captures an image of the depression and the distorted pattern. The computing system processes the image and determines a depth of the depression based on the distortion of the pattern. | 2022-08-25 |
20220270242 | METHODS AND SYSTEMS FOR EVALUATION OF IMMUNE CELL INFILTRATE IN TUMOR SAMPLES - Immune context scores are calculated for tumor tissue samples using continuous scoring functions. Feature metrics for at least one immune cell marker are calculated for a region or regions of interest, the feature metrics including at least a quantitative measure of human CD3 or total lymphocyte counts. A continuous scoring function is then applied to a feature vector including the feature metric and at least one additional metric related to an immunological biomarker, the output of which is an immune context score. The immune context score may then be plotted as a function of a diagnostic or treatment metric, such as a prognostic metric (e.g. overall survival, disease-specific survival, progression-free survival) or a predictive metric (e.g. likelihood of response to a particular treatment course). The immune context score may then be incorporated into diagnostic and/or treatment decisions. | 2022-08-25 |
20220270243 | MEDICAL IMAGE PROCESSING APPARATUS, METHOD OF DRIVING MEDICAL IMAGE PROCESSING APPARATUS, MEDICAL IMAGING SYSTEM, AND MEDICAL SIGNAL ACQUISITION SYSTEM - A medical image processing apparatus includes an image processing unit configured to acquire a first fluorescence image captured between a timing when a first drug is administered and a first timing when a second drug is administered and a fluorescence intensity of a predetermined region starts to increase, and a second fluorescence image captured after the first timing and generate an output image in which fluorescence generated by the second drug is enhanced on a basis of the first fluorescence image and the second fluorescence image. | 2022-08-25 |
20220270244 | CONVOLUTIONAL NEURAL NETWORKS FOR CLASSIFICATION OF CANCER HISTOLOGICAL IMAGES - Techniques for classifying, using a deep learning model, histopathological whole slide images (WSIs) as comprising images of cancerous or non-cancerous tissue and/or as comprising images of cancerous tissue having a genetic mutation or not having a genetic mutation are described herein. The techniques include at least one processor configured to instantiate a container-based processing architecture to train and/or use the deep learning model to process and classify at least one WSI. In some embodiments, a treatment may be selected and administered based on a classification result obtained from the deep learning model. | 2022-08-25 |
20220270245 | ESTIMATOR LEARNING DEVICE, ESTIMATOR LEARNING METHOD, AND ESTIMATOR LEARNINGPROGRAM - The estimator learning device contains an image acquisition unit that acquires stained images provided by photographing respectively in a plurality of wavebands a biomaterial sample that has been stained with a prescribed staining solution; a cell nucleus extraction unit that extracts a cell nucleus region present in the biomaterial sample in each of the stained images; a color information acquisition unit that calculates, for each of the stained images, an absorbance in each of the wavebands in the cell nucleus region; and an estimator learning unit that, based on a relationship between the absorbance in each of the wavebands and information associated with the biomaterial sample and relating to whether the cell nucleus present in the biomaterial sample is in a prescribed state, trains an estimator that estimates whether the cell nucleus is in the prescribed state from the absorbance in each of the wavebands. | 2022-08-25 |
20220270246 | MEDICAL IMAGE PROCESSING DEVICE, MEDICAL IMAGE PROCESSING METHOD, AND STORAGE MEDIUM - A medical image processing device for visualizing an organ includes a processor. the processor is configured: to acquire volume data including the organ; to extract tubular tissues included in the organ; to designate an excision region that is a region to be excised in the organ; to determine whether or not to excise tubular tissues included in the excision region; and not to display tubular tissues to be excised in the excision region and to display tubular tissues not to be excised in the excision region on a display unit, when displaying a remaining region that is a range excluding the excision region in the organ. | 2022-08-25 |
20220270247 | APPARATUS FOR MOVING A MEDICAL OBJECT AND METHOD FOR PROVIDING A CONTROL INSTRUCTION - An apparatus for moving a medical object includes a movement apparatus and a user interface. The apparatus is configured to receive dataset of the examination region and receive and/or determine positioning information about a positioning of the predefined section. The user interface is configured to display a graphic display of the predefined section with regard to the examination region, and to acquire a user input with regard to the graphic display, which specifies a target positioning and/or movement parameter for the predefined section. The apparatus is configured to determine a control instruction based on the user input, and the movement apparatus is configured to move the medical object in accordance with the control instruction. | 2022-08-25 |
20220270248 | UNCERTAINTY-AWARE DEEP REINFORCEMENT LEARNING FOR ANATOMICAL LANDMARK DETECTION IN MEDICAL IMAGES - Described are techniques for uncertainty-aware anatomical landmark detection, using, for example, a deep reinforcement learning (DRL) anatomical landmark detection agent. For instance, a process can include generating one or more image features for an input medical image using a first sub-network of the anatomical landmark detection agent. A softmax layer of a second sub-network of the anatomical landmark detection agent can generate a plurality of discrete Q-value distributions for a set of allowable actions associated with movement of the agent within the medical image. An anatomical landmark location within the medical image can be predicted using the discrete Q-value distributions. An uncertainty can be determined for the predicted anatomical landmark location, based on an average full width half maximum (FWHM) calculated for the plurality of discrete Q-value distributions. | 2022-08-25 |
20220270249 | NUTRIENT DEFICIENCY DETECTION AND FORECASTING SYSTEM - A nutrient deficiency detection system including an image gathering unit that gathers at least one representation of a field and stiches the images together to produce a large single image of the field, an image analysis unit that identifies areas of nutrient deficiency in the field, and a deficiency analysis unit processes and calculates an effect on the yield of the field based on the nutrient deficiency. | 2022-08-25 |
20220270250 | MEASUREMENT OF PHYTOTOXICITY FROM IMAGERY - An assessment system receives color images of plants and produces rating values of chlorosis, necrosis, bleaching, stunting, deformations, and/or an overall general assessment of the plants. Phytotoxicity damage can be identified via the color images using pixelwise classifications from imagery of crop canopy into healthy, chlorotic, necrotic, and bleached classes. | 2022-08-25 |
20220270251 | GENERATING X-RAY IMAGE DATA ON THE BASIS OF A WEIGHTING OF BASIS MATERIALS VARYING DEPENDING ON LOCATION - An imaging method is described for generating image data of an examination region of an object that is to be examined. First X-ray projection measurement data of the examination region is acquired using a first X-ray energy spectrum and at least second X-ray projection measurement data of the examination region is acquired using a second X-ray energy spectrum which is different from the first X-ray energy spectrum. A priori image data is reconstructed based on at least the first X-ray projection measurement data and a location-dependent distribution of X-ray attenuation values. A basis material decomposition is performed based on the first X-ray projection measurement data and the at least second X-ray projection measurement data. A location-dependent weighting of the basis materials is determined as a function of the location-dependent distribution of the X-ray attenuation values. An image for the examination region is determined by reconstructing virtual basis-material-weighted image data. | 2022-08-25 |
20220270252 | Automated System And Method For Detecting Plant Disease And Providing Disease Treatment Solution - The present invention generally relates to a plant disease detection system comprises an acquisition unit for collecting pictures of sick and sound plant leaves gathered under controlled conditions from a public dataset; a training unit for training a convolutional neural network technique-based model to distinguish harvest species and sicknesses; a camera for capturing real time image of a plant; a central processing unit for estimating weight file (BMI) and muscle versus fat ratio status (BF %) utilizing bio impedance in order to detect disease of the plant, wherein the weight file (BMI) and muscle versus fat ratio status (BF %) is estimated upon comparing real time image of the plant with pictures of sick and sound plant leaves gathered under controlled conditions; and an alert unit for transferring an alert signal of the detected disease and its stage on a user computing device. | 2022-08-25 |
20220270253 | METHOD FOR PRODUCING A COMPUTER MODEL FOR AN ABUTMENT AND FOR PRODUCING AN ABUTMENT - A method produces a three-dimensional computer model of an abutment for a tooth implant by a computer, and the abutment has a base, a connecting structure, a platform surface of coronal appearance, and a screw channel. The method includes: providing a three-dimensional representation of a jaw of the patient to be read by the computer, choosing a definition of a preparation margin depending upon the patient's individual gum line, defining a three-dimensional geometry of the abutment above the preparation margin by an operator of the computer or by an algorithm, defining an emergence profile of the abutment by an operator of the computer or by an algorithm, and providing the three-dimensional computer model by the computer. A plate-like design of the platform surface is provided below the preparation margin for the three-dimensional geometry of the platform. | 2022-08-25 |
20220270254 | Lesion Detection Artificial Intelligence Pipeline Computing System - A lesion detection and classification artificial intelligence (AI) pipeline comprising a plurality of trained machine learning (ML) computer models is provided. First ML model(s) process an input volume of medical images (VOI) to determine whether VOI depicts a predetermined amount of an anatomical structure. The AI pipeline determines whether criteria, such as a predetermined amount of an anatomical structure of interest being depicted in the input volume, are satisfied by output of the first ML model(s). If so, lesion processing operations are performed including: second ML model(s) processing the VOI to detect lesions which correspond to the anatomical structure of interest; third ML model(s) performing lesion segmentation and combining of lesion contours associated with a same lesion; and fourth ML models processing the listing of lesions to classify the lesions. The AI pipeline outputs the listing of lesions and the classifications for downstream computing system processing. | 2022-08-25 |
20220270255 | SYSTEMS AND METHODS FOR EVALUATING ACCURACY IN A PATIENT MODEL - Systems, devices, and methods are described for providing patient anatomy models with indications of model accuracy included with the model. Accuracy is determined, for example, by analyzing gradients at tissue boundaries or by analyzing tissue surface curvature in a three-dimensional anatomy model. The determined accuracy is graphically provided to an operator along with the patient model. The overlaid accuracy indications facilitate the operator's understanding of the model, for example by showing areas of the model that may deviate from the modeled patient's actual anatomy. | 2022-08-25 |
20220270256 | COMPENSATION OF ORGAN DEFORMATION FOR MEDICAL IMAGE REGISTRATION - Systems and methods for medical image registration are provided. A first input medical image and a second input medical image of one or more anatomical objects arc received. For each respective anatomical object of the one or more anatomical objects, a region of interest comprising the respective anatomical object is detected in one of the first input medical image or the second input medical image, the region of interest is extracted from the first input medical image and from the second input medical image, and a motion distribution of the respective anatomical object is determined from one of the region of interest extracted from the first input medical image or the region of interest extracted from the second input medical image using a motion model specific to the respective anatomical object. The first input medical image and the second input medical image are registered based on the motion distribution of each respective anatomical object of the one or more anatomical objects to generate a fused image. | 2022-08-25 |
20220270257 | HYPERSPECTRAL FACIAL ANALYSIS SYSTEM AND METHOD FOR PERSONALIZED HEALTH SCORING - A hyperspectral facial analysis system and method for personalized health scoring to assess the risk that a person has a disease. Embodiments capture images in multiple spectral bands, such as visible, infrared, and ultraviolet, and analyze these images to generate multiple health metrics, such as pallor, temperature, sweat, and chromophores. These metrics may be combined into an overall health score that may be used for screening. Image analysis may focus on the area under the eyes, where skin is thinnest. Images may be compared to a reference population to identify anomalous values, so that health scoring automatically adjusts for local conditions. Pallor may be calculated based on hue and saturation of visible light images. Temperature may be calculated based on infrared image intensity. Sweat may be calculated using cross-polarized images to identify specular highlights. Chromophores may be calculated by comparing frequency domain ultraviolet images to those of the reference population. | 2022-08-25 |
20220270258 | HISTOLOGICAL IMAGE ANALYSIS - A machine learning algorithm is trained on a number of microscopic images and a measure of outcome of each image. Each image is divided into tiles. The measure of outcome is assigned to each tile of the image. The tiles are then used to train the machine learning algorithm. The trained algorithm may then be used to evaluate images. | 2022-08-25 |
20220270259 | SYSTEM AND METHOD FOR MACHINE LEARNING BASED TRACKINGLESS IMAGING VOLUME RECONSTRUCTION - A method of ultrasound image volume reconstruction includes: providing a convolutional neural network (“CNN”); receiving a first dataset comprising at least one pair of consecutive ultrasound images; inputting the first dataset to the CNN; training the CNN with the first dataset; receiving a second dataset comprising an ultrasound video comprising a plurality of consecutive ultrasound images; inputting the second dataset to the CNN; and processing, by the CNN, the second dataset to produce as output a reconstructed 3D ultrasound image volume. | 2022-08-25 |
20220270260 | VIDEO SEGMENTATION METHOD AND APPARATUS, ELECTRONIC DEVICE, AND COMPUTER-READABLE STORAGE MEDIUM - A video segmentation method and apparatus, an electronic device, and a computer-readable storage medium, related to the technical field of video processing. The method comprises: acquiring a video frame to be processed in a target-video, and information to be segmented in the video frame to be processed; determining a tilt angle corresponding to the video frame to be processed according to the information to be segmented; performing correction processing on the video frame to be processed according to the tilt angle, to obtain a corrected video frame; and performing image segmentation on the corrected video frame according to the information to be segmented, to determine an image to be played. | 2022-08-25 |
20220270261 | WHOLE BODY SEGMENTATION - Methods and systems are disclosed for performing operations comprising: receiving a monocular image that includes a depiction of a whole body of a user; generating a segmentation of the whole body of the user based on the monocular image; accessing a video feed comprising a plurality of monocular images received prior to the monocular image; smoothing, using the video feed, the segmentation of the whole body generated based on the monocular image to provide a smoothed segmentation; and applying one or more visual effects to the monocular image based on the smoothed segmentation. | 2022-08-25 |
20220270262 | ADAPTED SCANNING WINDOW IN IMAGE FRAME OF SENSOR FOR OBJECT DETECTION - A scanning window is used to scan an image frame of a sensor when doing object detection. In one approach, positions within the image frame are stored in memory. Each position corresponds to an object detection at that position for a prior frame of data. A first area of the image frame is determined based on the stored positions. When starting to analyze a new frame of data, the first area is scanned to detect at least one object. After scanning within the first area, at least one other area of the new image frame is scanned. | 2022-08-25 |
20220270263 | COMPUTED TOMOGRAPHY TO FLUOROSCOPY REGISTRATION USING SEGMENTED INPUTS - A method according to embodiments of the present disclosure includes receiving a computed tomography (CT) image of a patient; segmenting a first set of anatomical elements from the CT image; receiving a plurality of fluoroscopy images of the patient; segmenting a second set of anatomical elements from the plurality of fluoroscopy images; and creating a registration between the CT image and the plurality of fluoroscopy images based on the segmented first set of anatomical elements and the segmented second set of anatomical elements. | 2022-08-25 |
20220270264 | IMAGE PROCESSING DEVICE, CONTROL METHOD THEREOF, IMAGING DEVICE, AND RECORDING MEDIUM - An imaging device includes a subject detection unit that detects a subject with respect to an input image. The subject detection unit detects at least two parts within the image and determines a priority part among the detected parts. The subject detection unit performs a region extension process of extending the determined priority part to thereby extend a region from the priority part in a direction of another detected part. In detection of a plurality of parts, a part that cannot be detected is also handled as an extended region of a detection part. Thereby, if a user designates a region erroneously, the imaging device can determine that the user has designated the region when the designated region is included in the extended region. | 2022-08-25 |
20220270265 | WHOLE BODY VISUAL EFFECTS - Methods and systems are disclosed for performing operations comprising: receiving a monocular image that includes a depiction of a whole body of a user; generating a segmentation of the whole body of the user based on the monocular image by applying one or more machine learning techniques; receiving input that selects a visualization mode; and applying one or more visual effects corresponding to the visualization mode to the monocular image based on the segmentation. | 2022-08-25 |
20220270266 | FOREGROUND IMAGE ACQUISITION METHOD, FOREGROUND IMAGE ACQUISITION APPARATUS, AND ELECTRONIC DEVICE - A foreground image acquisition method, a foreground image acquisition apparatus, and an electronic device. The foreground image acquisition method comprises: performing inter-frame motion detection on an acquired current video frame to obtain a first mask image; a neural network model, performing recognition on the current video frame to obtain a second mask image; and a foreground image in the current video frame and the second mask. | 2022-08-25 |
20220270267 | SYSTEM AND METHOD FOR OCCLUSION DETECTION IN FRAME RATE UP-CONVERSION OF VIDEO DATA - Embodiments of the disclosure provide systems and methods for performing occlusion detection in frame rate up-conversion of video data including a sequence of image frames. The method includes determining, by a video processor, whether a target block of a target frame is a potential occlusion block based on at least one of motion vector information or distortion metric information associated with the target block. The target frame is to be generated and interpolated into the sequence of image frames. Responsive to the target block being the potential occlusion block, the method further includes detecting, by the video processor, an occlusion type of the target block. The method additionally includes generating, by the video processor, the target block by performing a motion compensation method adaptively selected based on the occlusion type of the target block. | 2022-08-25 |
20220270268 | MAPPING AND LOCALIZATION SYSTEM FOR AUTONOMOUS VEHICLES - Accurate vehicle localization is arguably the most critical and fundamental task for autonomous vehicle navigation. While dense 3D point-cloud-based maps enable precise localization, they impose significant storage and transmission burdens when used in city-scale environments. A highly compressed representation for LiDAR maps, along with an efficient and robust real-time alignment algorithm for on-vehicle LiDAR scans, is proposed here. The proposed mapping framework, requires less than 0.1% of the storage space of the original 3D point cloud map. In essence, mapping framework emulates an original map through feature likelihood functions. In particular, the mapping framework models planar, pole and curb features. These three feature classes are long-term stable, distinct and common among vehicular roadways. Multiclass feature points are extracted from LiDAR scans through feature detection. A new multiclass-based point-to-distribution alignment method is also proposed to find the association and alignment between the multiclass feature points and the map. | 2022-08-25 |
20220270269 | OBJECT THROUGHPUT USING TRAINED MACHINE LEARNING MODELS - Disclosed are techniques for determining object throughput. A method may include obtaining first data representing a first image corresponding to a first time, identifying a first portion of the first data that depicts a first object at a first location, obtaining second data representing a second image corresponding to a second time, identifying a second portion of the second data that depicts the first object at a second location, obtaining third data indicating a counting threshold, determining based at least on the third data and the second location, that the first object satisfies the counting threshold, generating a value indicating a number of objects satisfying the counting threshold, the number of objects including the first object, generating a data value indicating a throughput of the number of objects based on the value indicating the number of objects satisfying the counting threshold and elapsed time between the first and second times. | 2022-08-25 |
20220270270 | METHOD AND DEVICE FOR REGISTERING TWO MEDICAL IMAGE DATA SETS TAKING INTO ACCOUNT SCENE CHANGES - A method of registering two sets of medical image data taking into account scene changes can include providing a first and a second medical image data set by means of a medical device, subdividing the first and second medical image data sets into an equal number of sub-images, performing a number of individual registrations between the first and second medical image data sets with respective optimization of a similarity measure, identifying the sub-images that have a scene change, and performing a final registration between the first and the second medical image data set by masking out the identified sub-images or a masked out sub-image combination. For each individual registration, at least one sub-image of the first and/or second medical image data set can be masked out by means of a random process when determining the respective measure of similarity. | 2022-08-25 |
20220270271 | METHOD FOR DEFORMABLE 3D-2D REGISTRATION USING MULTIPLE LOCALLY RIGID REGISTRATIONS - An embodiment in accordance with the present invention provides a method for 3D-2D registration (for example, registration of a 3D CT image to a 2D radiograph) that permits deformable motion between structures defined in the 3D image based on a series of locally rigid transformations. This invention utilizes predefined annotations in 3D images (e.g., the location of anatomical features of interest) to perform multiple locally rigid registrations that yield improved accuracy in aligning structures that have undergone deformation between the acquisition of the 3D and 2D images (e.g., a preoperative CT compared to an intraoperative radiograph). The 3D image is divided into subregions that are masked according to the annotations, and the registration is computed simultaneously for each divided region by incorporating a volumetric masking method within the 3D-2D registration process. | 2022-08-25 |
20220270272 | MEASURING SYSTEM AND RECORDING MEDIUM STORING THEREON A MEASURING PROGRAM - A measuring system includes a processor. The processor calculates first information. The first information indicates a position and an attitude of a camera. The camera measures depth information along with an image of a measurement target. The processor extract second shape information from first shape information based on the first information. The first shape information indicates a three-dimensional shape of the measurement target. The second shape information indicates a three-dimensional shape corresponding to an imaging range of the camera. The processor calculates second information based on a result of a comparison between the depth information and the second shape information. The second information indicates the position and the attitude of the camera with a higher precision than the first information. | 2022-08-25 |
20220270273 | MACHINE LEARNING-BASED OBJECT-CENTRIC APPROACH TO IMAGE MANIPULATION - A technique for processing images is disclosed. The technique includes determining depth information for an image; identifying a depth threshold; and modifying content of the image based on a comparison of the depth information and the depth threshold. | 2022-08-25 |
20220270274 | THREE-DIMENSIONAL GEOMETRY MEASUREMENT APPARATUS AND THREE-DIMENSIONAL GEOMETRY MEASUREMENT METHOD - A three-dimensional geometry measurement apparatus including: a relationship identification part that identifies a combination of a first imaging pixel and a projection pixel of a projection image; a determination part that determines, for the combination of the first imaging pixel and the projection pixel, whether or not the combination includes a defective pixel on the basis of a distance between (i) a second imaging pixel corresponding to the same projection coordinate as a projection coordinate corresponding to the first imaging pixel and (ii) a second imaging pixel corresponding to the projection coordinate of the projection pixel and located on an epipolar line of a second captured image corresponding to the projection coordinate; and a geometry measurement part that measures a geometry of an object to be measured using at least one of the first imaging pixel excluding the defective pixel or the second imaging pixel excluding the defective pixel. | 2022-08-25 |
20220270275 | METHOD AND APPARATUS FOR DEPTH ESTIMATION RELATIVE TO A MOBILE TERMINAL - A method, apparatus and computer program product estimate the depth to objects within a scene that is captured by first and second cameras of a mobile terminal. A method includes determining, based upon an image including an eye of a user captured by a first camera of a mobile terminal and an image of a scene captured by a second camera of the mobile terminal, two or more angles of a geometric shape defined by the eye, the mobile terminal and an object of the scene. Based upon the image captured by the first camera, the method also determines a first distance from the first camera to the eye. The method further estimates the depth to the object in the scene relative to the mobile terminal based upon the first distance and one or more angles of the geometric shape defined by the eye, the mobile terminal and the object. | 2022-08-25 |
20220270276 | APPARATUS AND METHOD FOR GENERATING DEPTH MAP FROM MULTI-VIEW IMAGE - Disclosed herein is a method for generating a depth map from multi-view images, the method including receiving multi-view images and parameters thereof; generating an initial depth map, an initial normal map, and an initial reliability map for the multi-view images; performing selection of multiple initial vertices and triangulation based on the initial depth map and the initial normal map and generating depth values and normal values for the result of triangulation; performing regularization based on triangulation, selecting additional vertices in the initial depth map, and generating additional depth values and additional normal values based on the additional vertices and regularization; and refining the initial depth map into a refined depth map by replacing depth values and normal values having reliability below a preset level in the initial depth map and the initial normal map with the additional depth values and the additional normal values. | 2022-08-25 |
20220270277 | COMPUTING A POINT CLOUD FROM STITCHED IMAGES - A method and system for creating a point cloud are disclosed. A first image is captured by a first camera sensor and a second image is captured by a second camera sensor. The first and the second image have an area of overlap. Location of the first camera relative to the second camera is predetermined and each of the first and the second camera is having a field of view of more than 180 degrees. Based on the area of overlap, the first and the second image are stitched to create a composite stitched image. In one aspect, depth information from the area of overlap is extracted based on the predetermined location and a point cloud is created from otherwise to be discarded image data in the area of overlap. | 2022-08-25 |
20220270278 | SYSTEMS AND METHODS FOR AN IMPROVED CAMERA SYSTEM USING A GRADED LENS AND FILTERS TO ESTIMATE DEPTH - System, methods, and other embodiments described herein relate to an improved camera system including directional optics to estimate the depth of grayscale and color images. In one embodiment, a camera system includes a graded lens to receive light associated with a scene and resolve multiple angles of the light according to parameters of the graded lens. The camera system also includes a detector that senses the light from the graded lens per pixel to integrate multiple views of the scene into a single image to estimate depth associated with objects and the single image includes data for views of the objects that overlap having resolved angles in association with the parameters. | 2022-08-25 |
20220270279 | SAMPLE IMAGING VIA TWO-PASS LIGHT-FIELD RECONSTRUCTION - Methods and systems for sample imaging via two-pass light-field reconstruction. In an exemplary method, a light-field image of a sample may be captured in a light-field plane. The light-field image may be forward-projected computationally to each of a plurality of z-planes in object space to generate a set of forward-projected z-plane images. Backward-projections computationally to the light-field plane of the same xy-region in object space from each z-plane image may be compared with the light-field image, to determine a respective degree of correspondence between the backward-projected xy-region from each of the z-plane images and the light-field image. For each different xy-region, at least one of the forward-projected z-plane images may be selected to contribute data for the different xy-region in a 2D or 3D object-space image of the sample. | 2022-08-25 |
20220270280 | SYSTEM AND TOOLS FOR DETERMINING RING SIZE - The user apparatus includes a memory system, a processing system, a sensor system, and a user interface including at least one image display and an input user interface. In one example, the apparatus performs ring sizing on one or more fingers of a given human hand. The user apparatus may be an integrated device or separate devices. It may be a handheld smartphone, or a wearable smart device. In the case of a wearable smart device, it may include a watch or glasses. In one embodiment, the processing system is configured to cause a number of acts. At least one sensor in the sensor system is operated to sense at least a portion of the given hand and an adjacent reference object. The sensor system provides sensor spatial data in terms of the sensor. The spatial data includes hand spatial information locating portions of an outer surface of the given hand, and further includes reference object spatial information locating one or more measurable references on the reference object. Transformation processing is performed on at least some of the sensor spatial data in order to determine world spatial data in terms of real world positioning. The transformation processing includes using the reference object spatial information in the sensor spatial data. The processing system determines, from the world of spatial data, the diameter of the given finger on the given fingers profile at a ring position near where the given finger joins at least one adjacent non thumb finger. Based on the determined diameter value of the given finger, a determination is made of a ring size in the United States and Canadian system. The ring size is communicated to the user. | 2022-08-25 |
20220270281 | IMAGE RECOGNITION BASED DRILLING CALIBRATION METHOD, DEVICE AND APPARATUS AND MEDIUM - A drilling calibration method, apparatus, device and medium based on image recognition includes lifting a top drive to a position of a derrick, and receiving and recognizing a target image acquired by an image acquisition apparatus of an operating terminal; calculating a quantity of pixels from the top drive to a rotary table surface in the target image by a data processing unit of the operating terminal; and receiving a height of the top drive measured by a diastimeter by the operating terminal. The height of the top drive is a height from the top drive to the rotary table surface. A pixel relationship table may be established between the quantity of the pixels from the top drive to the rotary table surface and the height of the top drive by a calibration unit of the operating terminal to finish drilling calibration. The pixel relationship table may be determined between the quantity of the pixels from the top drive to the rotary table surface and the height of the top drive by an image recognition technique to finish calibration of drilling, so that influence of a drilling environment to drilling calibration may be reduced greatly. | 2022-08-25 |
20220270282 | INFORMATION PROCESSING DEVICE, DATA GENERATION METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM STORING PROGRAM - Provided is an information processing device capable of determining accuracy of data acquired using an LIDAR sensor. | 2022-08-25 |
20220270283 | MAGNETIC RESONANCE IMAGING DEVICE, ATTACHMENT POSITION OUTPUT METHOD, AND STORAGE MEDIUM - A magnetic resonance imaging device according to an embodiment includes a processing circuitry. The processing circuitry obtains, from an image of a test subject taken by an optical photographing device, image-related information regarding at least either the test subject or a radio frequency (RF) coil attached to the test subject. Then, the processing circuitry selects statistical information about the attachment position of the RF coil based on the image-related information. Subsequently, the processing circuitry outputs the attachment position of the RF coil corresponding to the statistical information. | 2022-08-25 |
20220270284 | METHOD AND DEVICE FOR PROPOSING LOCATION OF DISPLAY DEVICE - A method for proposing a location of a display device, includes: scanning, by an augmented reality device, an indoor space; receiving, by the augmented reality device, viewing environment information including viewing space information, viewing time information and viewing content information to the augmented reality device; and proposing, by the augmented reality device, an optimal location/type of the display device. | 2022-08-25 |
20220270285 | METHOD AND APPARATUS FOR DETERMINING VEHICLE LOCATION BASED ON OPTICAL CAMERA COMMUNICATION - Disclosed are a method and an apparatus for determining a vehicle location based on optical camera communication (OCC). According to an embodiment of the present disclosure, the method for determining a vehicle location based on OCC may include the steps of receiving information on a distance between a plurality of rear lamps of a front vehicle and size information of the plurality of rear lamps by using a single camera provided in a vehicle, acquiring a rear side image of the front vehicle through the single camera, determining a rear lamp area in the rear side image of the front vehicle by using a pre-trained artificial neural network, determining a driving lane of the front vehicle based on the rear lamp area, determining a distance between the single camera and each of the plurality of rear lamps based on the rear lamp area, and deriving location information of the front vehicle, based on the received information on the distance between the plurality of rear lamps, the size information, the distance between the single camera and each of the plurality of rear lamps, and the driving lane. | 2022-08-25 |
20220270286 | SYSTEM, LOCATION INFORMATION MANAGEMENT APPARATUS, LOCATION SPECIFYING METHOD, AND PROGRAM - In order to provide system accurately identifying a moving object, the system includes a moving object and a location information management apparatus. The moving object is equipped with a top panel on which a light emitting part is disposed. The location information management apparatus extracts a first image including the light emitting part from an image in which the moving object is captured, executes image processing on the first image to detect a presence of the moving object, and specifies a location of the moving object. The image processing may be processing for removing noise included in a region corresponding to the light emitting part of the first image. | 2022-08-25 |
20220270287 | EYE GAZE DETECTION METHOD, EYE GAZE DETECTION DEVICE, AND NON-TRANSITORY COMPUTER READABLE STORAGE MEDIUM - An eye gaze detection method includes: acquiring image data of a face of a person; detecting, from the image data, a left eye region including a left eye of the person and a right eye region including a right eye of the person; detecting, from the image data of the face, at least one of an ear region including an ear of the person and a hair region including hair of the person, when only one eye region of the right eye region or the left eye region is detected; detecting information indicating an orientation of the face based on information indicating a position of one eye included in the one eye region and information indicating the at least one; and detecting information indicating an eye gaze of the person based on the information indicating the position of the one eye and the information indicating the orientation of the face. | 2022-08-25 |
20220270288 | SYSTEMS AND METHODS FOR POSE DETERMINATION - The present disclosure relates to a method for determining a pose of a subject. The method may include identifying a plurality of sets of data points representing a plurality of cross sections of a path from point-cloud data representative of a surrounding environment, wherein the plurality of cross sections may be perpendicular to the ground surface and distributed along a first reference direction associated with the subject. The method may also include determining a feature vector of the at least one curb based on the plurality of sets of data points, determining at least one reference feature vector of the at least one curb based on an estimated pose of the subject and a location information database, and determining the pose of the subject by updating the estimated pose of the subject. | 2022-08-25 |
20220270289 | METHOD AND APPARATUS FOR DETECTING VEHICLE POSE - A method and device for detecting a vehicle pose, relating to the fields of computer vision and automatic driving. The specific implementation solution comprises: inputting a vehicle left view point image and a vehicle right view point image into a part prediction and mask segmentation network model, and determining foreground pixel points and part coordinates thereof in a reference image; converting coordinates of the foreground pixels in the reference image into coordinates of the foreground pixels in a camera coordinate system so as to obtain a pseudo-point cloud, and fusing part coordinate of the foreground pixels and the pseudo-point cloud to obtain fused pseudo-point cloud; and inputting the fused pseudo-point cloud into a pre-trained pose prediction model to obtain a pose information of the vehicle to be detected. | 2022-08-25 |
20220270290 | Calibration-Free Instant Motion Tracking for Augmented Reality - The present disclosure provides systems and methods for calibration-free instant motion tracking useful, for example, for rending virtual content in augmented reality settings. In particular, a computing system can iteratively augment image frames that depict a scene to insert virtual content at an anchor region within the scene, including situations in which the anchor region moves relative to the scene. To do so, the computing system can estimate, for each of a number of sequential image frames: a rotation of an image capture system that captures the image frames; and a translation of the anchor region relative to an image capture system, thereby providing sufficient information to determine where and at what orientation to render the virtual content within the image frame. | 2022-08-25 |
20220270291 | DETERMINING OPTICAL CENTER IN AN IMAGE - Optical center is determined on a column-by-column and row-by-row basis by identifying brightest pixels in respective columns and rows. The brightest pixels in each column are identified and a line is fit to those pixels. Similarly, brightest pixels in each row are identified and a second line is fit to those pixels. The intersection of the two lines is the optical center. | 2022-08-25 |
20220270292 | OPTICAL COHERENCE TOMOGRAPHY-BASED INTRAORAL SCANNER CALIBRATION DEVICE AND METHOD FOR OBTAINING CALIBRATION INFORMATION THROUGH FULL AREA SCAN - The present inventive concept relates to an optical coherence tomography (OCT)-based intraoral scanner calibration device including: a light source; an optical coupler for splitting the path of light irradiated from the light source in first light and second light; a reference part for generating reference light from the first light split by the optical coupler; a sample part for generating measurement light from the second light split by the optical coupler; and a signal generator for generating an OCT image from the reference light and the measurement light. | 2022-08-25 |
20220270293 | CALIBRATION FOR SENSOR - Methods, devices, systems, and computer-readable storage media for calibration of sensors are provided. In one aspect, a calibration method for a sensor includes: obtaining an image acquired by a camera of a sensor and obtaining radar point cloud data acquired by a radar of the sensor, a plurality of calibration plates being located within a common Field Of View (FOV) range of the camera and the radar and having different position-orientation information; for each of the plurality of calibration plates, detecting first coordinate points of the calibration plate in the image and second coordinate points of the calibration plate in the radar point cloud data; and calibrating an external parameter between the camera and the radar according to the first coordinate points and the second coordinate points of each of the plurality of calibration plates. | 2022-08-25 |
20220270294 | CALIBRATION METHODS, APPARATUSES, SYSTEMS AND DEVICES FOR IMAGE ACQUISITION DEVICE, AND STORAGE MEDIA - Methods, apparatus, systems and computer-readable storage media for calibration of image acquisition devices are provided. In one aspect, a calibration method includes: obtaining one or more images collected by an image acquisition device, the one or more images including information of a plurality of calibration plates with different position-orientation information and without being shaded by each other; detecting corner points corresponding to the plurality of calibration plates in each of the one or more images; and calibrating the image acquisition device based on the detected corner points. | 2022-08-25 |
20220270295 | AUTOMATED RECALIBRATION OF SENSORS FOR AUTONOMOUS CHECKOUT - Automated techniques provide for recalibrating cameras in a real space in which puts and takes of items are tracked. The method includes first processing one or more selected images selected from a plurality of sequences of images received from a plurality of cameras calibrated using a set of calibration images that were used to calibrate the cameras previously. The first processing includes a process step to match one or more features from the selected images with features extracted from the set of calibration images using a trained neural network classifier. The features correspond to points located at displays or structures that remain substantially immobile. Camera calibrations can be updated when transform information between features matched meets or exceeds a threshold. | 2022-08-25 |