43rd week of 2021 patent applcation highlights part 52 |
Patent application number | Title | Published |
20210334928 | INFORMATION PROCESSING METHOD AND INFORMATION PROCESSING SYSTEM - An information processing method causes a computer to execute acquiring a first delivery schedule generated based on a plurality of first destinations and a moving unit for providing delivery or service based on the first destinations, acquiring an attribute of the moving unit, acquiring a plurality of second destinations obtained from a revision in the first destinations after generating of the first delivery schedule, determining a fixed part regarding a destination that is not allowed to be changed on the first delivery schedule of the moving unit, in accordance with the attribute of the moving unit, and generating a second delivery schedule in accordance with the moving unit and the second destinations, without changing the fixed part. | 2021-10-28 |
20210334929 | DETECTING SEMI-TRANSPARENT IMAGE WATERMARKS - Systems, methods, devices, and other techniques for detecting, with a predictive model, the presence of a watermarking image in a captured source image. The techniques can involve operations that include obtaining a first image, where the first image is a scaled version of the captured source image. Colors of pixels in the first image are analyzed to determine encoded values of possibly encoded pixels in the first image, and patterns of encoded values of the possibly encoded pixels in the first image are analyzed to determine possibly encoded regions of the first image. Values for features of the possibly encoded regions of the first image are determined, and a predictive model processes the feature values to generate a prediction indicative of whether a watermarking image is encoded in the first image. The prediction is stored and provided to a controller to make a decision regarding invocation of a decoding process. | 2021-10-28 |
20210334930 | IMAGE SAMPLING TECHNOLOGIES FOR AUTOMATED VISUAL INSPECTION SYSTEMS - A method for sampling images includes receiving a first image set generated by automated imaging equipment during a first inspection period, and storing in a memory an image library that initially consists of the first image set. A plurality of new image sets is then sequentially received ( | 2021-10-28 |
20210334931 | METHOD AND DEVICE FOR WATERMARK-BASED IMAGE INTEGRITY VERIFICATION - The present disclosure provides a method of embedding a watermark on a Joint Photographic Experts Group (JPEG) image. The method includes: performing an entropy decoding on the JPEG image to generate quantized discrete cosine transform (DCT) coefficients; determining target bits in a bit plane of the quantized DCT coefficients on the basis of a watermark-embedding table (WET); and embedding a watermark based on metadata of the JPEG image in the target bits. Also, the present disclosure provides a method of verifying integrity of the image by using the embedded watermark. | 2021-10-28 |
20210334932 | METHOD OF ENCODING WATERMARK INTO DIGITAL IMAGE, APPARATUS FOR ENCODING WATERMARK INTO DIGITAL IMAGE, METHOD OF DETECTING WATERMARK IN DIGITAL IMAGE, APPARATUS FOR DETECTING WATERMARK IN DIGITAL IMAGE, AND COMPUTER-PROGRAM PRODUCT - A method of encoding a watermark into a digital image is provided. The method includes partitioning an image into a plurality of blocks of a same size; accumulating the plurality of blocks of the same size into a single block image; performing a Fourier transformation on the single block image to obtain a two-dimensional Fourier spectrum defined by Fourier coefficients at different positions of a Fourier domain; inserting a watermark into a frequency domain of the two-dimensional Fourier spectrum by modifying the two-dimensional Fourier spectrum as a function of watermarking coefficients in the watermark, to obtain a modified Fourier spectrum; performing an inverse Fourier transformation on the modified Fourier spectrum to obtain a watermarked image; copying the watermarked image horizontally and vertically into a plurality of copied watermarked images; and splicing the plurality of copied watermarked images into a reconstituted watermark image. | 2021-10-28 |
20210334933 | SYSTEM AND METHOD FOR EFFICIENT MULTI-GPU EXECUTION OF KERNELS BY REGION BASED DEPENDENCIES - Methods for graphics processing are provided. One example method includes executing a plurality of kernels using a plurality of graphics processing units (GPUs), wherein responsibility for executing a corresponding kernel is divided into one or more portions each of which being assigned to a corresponding GPU. The method includes generating a plurality of dependency data at a first kernel as each of a first plurality of portions of the first kernel completes processing. The method includes checking dependency data from one or more portions of the first kernel prior to execution of a portion of a second kernel. The method includes delaying execution of the portion of the second kernel as long as the corresponding dependency data of the first kernel has not been met. | 2021-10-28 |
20210334934 | LOCAL IMAGE WARPING IN IMAGE PROCESSOR USING HOMOGRAPHY TRANSFORM FUNCTION - A feature extractor determines reference feature locations from a portion of a reference image and corresponding feature locations from a portion of a warp image. A transform module determines a homography transform function that transforms versions of the corresponding feature locations to the reference feature locations. The homography transform function has an error below a threshold level, where the error represents a difference between the transformed corresponding feature locations and the reference feature locations. The local transform module generates transform parameters by processing the homography transform function. A warper circuit warps the portion of the warp image by at least applying the transform parameters to generate a portion of a warped image. | 2021-10-28 |
20210334935 | IMAGE RESYNTHESIS USING FORWARD WARPING, GAP DISCRIMINATORS, AND COORDINATE-BASED INPAINTING - The invention relates to image processing and, in particular, to image resynthesis for synthesizing new views of a person or an object based on an input image, to resolve tasks such as predicting views of a person or an object from new viewpoints and in new poses. Technical result consists in improved accuracy of image resynthesis based on at least one input image. An image resynthesis system, a system for training a gap filling module to be used in the image resynthesis system, an image resynthesis method, a computer program product and a computer-readable medium are provided. The image resynthesis system comprises a source image input module, a forward warping module configured to predict, for each source image pixel, a corresponding position in a target image, the forward warping module being configured to predict a forward warping field which is aligned with the source image, and a gap filling module configured to fill in the gaps resulting from the application of the forward warping module. The image resynthesis method comprises the steps of: inputting a source image, predicting, for each source image pixel, a corresponding position in a target image, wherein a forward warping field which is aligned with the source image is predicted, predicting a binary mask of gaps which result from the forward warping, filling in the gaps based on said binary mask of gaps by generating a texture image by means of predicting a pair of coordinates in the source image for each pixel in the texture image, and mapping the whole texture back to a new pose using backward warping. | 2021-10-28 |
20210334936 | IMAGE PROCESSING METHOD FOR SCREEN INNER HOLE OF DISPLAY DEVICE - An image processing method for a screen inner hole of a display device is provided, including steps as follows: determining coordinates at a center and a radius r of the screen inner hole, and drawing a circle with the radius r to obtain a pixel range of an inner hole area, and calculating a pixel variance of the pixel range; analyzing an image configuration in the inner hole area and a peripheral area around the inner hole area, and determining whether key information is in the inner hole area; locating and determining a range of the inner hole area and a range of the peripheral area; and separately calculating, in the inner hole area and in the peripheral area, a pixel mean and a pixel variance. | 2021-10-28 |
20210334937 | ADAPTIVE IMAGE ENHANCEMENT - A method of adaptive image enhancement, comprising, receiving a low resolution image, receiving at least one application constraint, detecting at least one scene within the low resolution image, detecting a plurality of regions of interest within the detected at least one scene, prioritizing the detected plurality of regions of interest, ranking the detected plurality of regions of interest based on the prioritization, determining an enhanceable subset of the plurality of regions of interest based on the ranking of the plurality of regions of interest and the at least one application constraint and enhancing the enhanceable subset of the plurality of regions of interest. | 2021-10-28 |
20210334938 | IMAGE PROCESSING LEARNING PROGRAM, IMAGE PROCESSING PROGRAM, INFORMATION PROCESSING APPARATUS, AND IMAGE PROCESSING SYSTEM - A non-transitory computer-readable medium having stored thereon instructions, that when executed by a processor causes a processor to process the following steps (S-1)-(S-8): (S-1) preparing a plurality of target images; (S-2) prepare a plurality of training images; (S-3) for each of the plurality of training images, train and update a first super-resolution model; (S-4) training and update a second super-resolution model; (S-5) labeling and classify each of the plurality of training images according to each label representing a preference of updated super-resolution models; (S-6) using each of the plurality of training images that are clustered in a largest cluster, train and update a super-resolution model-K, wherein K is an arbitrary number in a sequence; (S-7) updating the labels and re-classify the training images in the largest cluster into sub-clusters based on a preference of super-resolution models; and (S-8) repeating (S-6)-(S-7) to generate sub-clusters until a predetermined condition is satisfied. | 2021-10-28 |
20210334939 | METHOD AND ARCHITECTURE FOR BLIND IMAGE DECONVOLUTION - Disclosed herein is a method for performing blind deconvolutions of blurred images. The method approximates the proximal operators for the data fidelity term and the prior term of a minimization function using trained neural networks and solves the minimization using iterations of the Douglas-Rachford algorithm. | 2021-10-28 |
20210334940 | CORRECTION METHOD, CORRECTION APPARATUS, RADIOGRAPHY SYSTEM, AND CORRECTION PROGRAM - A correction apparatus includes an acquisition unit that acquires first image data representing a radiographic image generated by the radiation detector which is irradiated with the radiation in a state of being provided on a portion of an object to be inspected different from a portion to be inspected so as to be bent along an outer shape of the object to be inspected, and a correction unit that generates correction data on the basis of the first image data and corrects second image data representing the radiographic image generated by the radiation detector which is irradiated with the radiation in a state of being provided on the portion to be inspected so as to be bent along the outer shape of the object to be inspected. | 2021-10-28 |
20210334941 | ENDOSCOPE APPARATUS - A picked-up image that is obtained from the image pickup of a subject illuminated with illumination light and auxiliary measurement light is acquired. The picked-up image includes at least two first and second spectral images having different wavelength components. A first arithmetic image from which a first noise component hindering the detection of an irradiation position of the auxiliary measurement light is removed by first arithmetic processing based on the first and second spectral images is obtained. | 2021-10-28 |
20210334942 | IMAGE PROCESSING METHOD AND APPARATUS, DEVICE, AND STORAGE MEDIUM - This application discloses an image processing method, device, and apparatus, and a storage medium. The method is performed by a computing device, the method including: receiving an input image; determining a context feature of the input image; determining a first feature set and a second feature set according to the context feature and based on a size of a target image and a location of the input image in the target image; adjusting the second feature set according to a first feature statistic of the first feature set, to obtain an adjusted second feature set; and generating the target image based on the adjusted second feature set and the first feature set. | 2021-10-28 |
20210334943 | IMAGE PROCESSING METHOD, DEVICE, AND VIRTUAL REALITY DISPLAY APPARATUS - The present disclosure provides an image processing method, device, and virtual reality display apparatus for performing anti-distortion processing on images. The image processing method, for an electronic device including a lens unit, includes: determining a to-be-buffered image size according to a size of an input image and anti-distortion parameters of the lens unit; generating, based on the input image and the anti-distortion parameters, an anti-distortion buffer image having an image size according to the to-be-buffered image size. | 2021-10-28 |
20210334944 | DEVICE AND METHOD OF OBJECT DETECTION - A device and method of object detection in a scene by combining traditional 2D visual light imaging such as pixels with 3D data such as a voxel map are described. A single lens directs image light from the scene to a dichroic mirror which then provides light to a both a 2D visible light image sensor and a 3D sensor, such as a time-of-flight sensor that uses a transmitted, modulated IR light beam, which is then synchronously demodulated to determine time of flight as well as 2D coordinates. 2D portions (non-distance) of 3D voxel image data are aligned with the 2D pixel image data such that each is responsive to the same portion of the scene. Embodiments determine true reflectivity, true scale, and image occlusion. 2D images may be enhanced by the 3D true reflectivity. Combined data may be used as training data for object detection and recognition. | 2021-10-28 |
20210334945 | COMPOSITE GROUP IMAGE - A method and device for generating a composite group image from subgroup images is provided. Subgroup images, each having a common background, are accessed. The boundaries of a subgroup area within each of the subgroup images is determined. At least one horizontal and at least one vertical shift factor is determined using the determined boundaries. An arrangement for the subgroup images based on the at least one horizontal and the at least one vertical shift factor is generated. The composite group image is generated by blending the subgroup images arranged in the arrangement. | 2021-10-28 |
20210334946 | METHOD AND SYSTEM FOR CLASSIFYING DEFECTS IN WAFER USING WAFER-DEFECT IMAGES, BASED ON DEEP LEARNING - The present disclosure provides method and system | 2021-10-28 |
20210334947 | DATA ANALYSIS SYSTEM, DATA ANALYSIS METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM - A data analysis system includes: a memory; and a processor connected to the memory and that acquires data to be analyzed. The data to be analyzed includes parameters relating to a production element of a product produced in each of production batches; and an indicator for evaluating the product. The processor outputs, to the memory, the acquired data to be analyzed. The memory stores, in each of the production batches, the parameters and the indicator associated with the parameters. The processor calculates a correlation feature value for each of the production batches based on a correlation between the parameters and data of the correlation and the parameters. The processor causes a display to display the calculated feature value. | 2021-10-28 |
20210334948 | Method Of Determining The Coherence Between A Physical Object And A Numerical Model Representative Of The Shape Of A Physical Object - The present invention relates to a method of determining the coherence between a physical object and a numerical model representative of the shape of a physical object, wherein a specific use of the method according to the invention is assessing and quantifying manufacturing defects. The method is characterized by a set of steps comprising: capturing multiple images of the physical object; processing the images to produce a second numerical model of the physical object; in a computer, aligning the first numerical model and the second numerical model to generate a third numerical model according to specific sub-steps, wherein the third numerical model comprises a plurality of points representative of the shape of the captured physical object. Compared with the first numerical model, the third numerical model allows determining a measurement of the coherence between the physical object captured by means of images and the first numerical model representative thereof. | 2021-10-28 |
20210334949 | ARRANGEMENT DETECTOR FOR PLATE-SHAPED OBJECT AND LOAD PORT INCLUDING SAME - An arrangement detector for plate-shaped objects and a lord port including the same are provided. The arrangement detector for plate-shaped objects includes a judgement window setting means, a shape determination means for determining a shape matching rate by superimposing the judgement window on the image captured by the imaging means, and an object judgement means for judging the plate-shaped objects do not exist in the judgement window overlaid on the image captured by the imaging means, in case that the shape matching rate determined by the shape determination means is equal to or less than a predetermined value. A first reference line is a continuous straight line in the judgement window, and a second reference line is a collection of discontinuous line segments linearly arranged in the judgement window. | 2021-10-28 |
20210334950 | METHOD AND APPARATUS FOR PROCESSING IMAGE - Embodiments of the present disclosure provide a method and apparatus for processing an image, and relates to the field of computer vision technology. The method may include: acquiring a value to be processed, where the value to be processed is associated with an image to be processed; and processing the value to be processed by using a quality scoring model to generate a score of the image to be processed in a target scoring domain, where the score of the image to be processed in the target scoring domain is related to an image quality of the image to be processed. | 2021-10-28 |
20210334951 | Electronic Component Evaluation Method, Electronic Component Evaluation Device, And Electronic Component Evaluation Program - An electronic component evaluation method of evaluating a state of an electronic component includes acquiring reference point information, with respect to at least one terminal, reference point information including at least one of position information and first height information of a plurality of corresponding reference points on the terminal from imaging data obtained by image-capturing the electronic component including a component body and a plurality of terminals attached to the component body, and determining a state according to a shape of the electronic component based on a plurality of pieces of the reference point information. | 2021-10-28 |
20210334952 | METHOD AND SYSTEM FOR AUTOMATED PLANT SURVEILLANCE AND MANIPULATION - A method and a system for automated plant surveillance and manipulation are provided. Pursuant to the method and the system, images of target plants are obtained through a machine vision system having multiple cameras. The obtained images of the target plants are processed to determine tissue candidates of the target plants and to determine a position and an orientation of each tissue candidate. A tool is manipulated, based on the position and the orientation of each tissue candidate, to excise each tissue candidate to obtain tissue samples. The tissue samples are transported for subsequently manipulation including live processing of the tissue samples or destructive processing of the tissue samples. | 2021-10-28 |
20210334953 | INSPECTION METHOD, PROGRAM, INSPECTION DEVICE, AND PRINTING DEVICE - Provided are an inspection method, a program, an inspection device, and a printing device capable of realizing a uniform inspection in a defect inspection of a printed article using a special substrate. A method includes an imaging data acquisition step (S | 2021-10-28 |
20210334954 | CONCEALED SUBSTANCE DETECTION WITH HYPERSPECTRAL IMAGING - A drug screening system and methods of using the same are disclosed. The drug screening system identifies and highlights drugs or other contraband substances enclosed within mailpieces based on score imagery computed from selected wavelengths based on chemical signatures. A wide-field, multispectral short-wave infrared imaging system allows for dissolved, concealed drug screening of mailpieces that improve inspection efficiency and accuracy. | 2021-10-28 |
20210334955 | IMAGE ANNOTATION USING ONE OR MORE NEURAL NETWORKS - Apparatuses, systems, and techniques are presented to predict annotations for objects in images. In at least one embodiment, one or more annotations corresponding to one or more objects within one or more images are generated based, at least in part, on one or more neural networks iteratively trained using the one or more images. | 2021-10-28 |
20210334956 | METHODS AND APPARATUS FOR THE APPLICATION OF MACHINE LEARNING TO RADIOGRAPHIC IMAGES OF ANIMALS - Methods and apparatus for the application of machine learning to radiographic images of animals. In one embodiment, the method includes receiving a set of radiographic images captured of an animal, applying one or more transformations to the set of radiographic images to create a modified set, segmenting the modified set using one or more segmentation artificial intelligence engines to create a set of segmented radiographic images, feeding the set of segmented radiographic images to respective ones of a plurality of classification artificial intelligence engines, outputting results from the plurality of classification artificial intelligence engines for the set of segmented radiographic images to an output decision engine, and adding the set of segmented radiographic images and the output results from the plurality of classification artificial intelligence engines to a training set for one or more of the plurality of classification artificial intelligence engines. Computer-readable apparatus and computing systems are also disclosed. | 2021-10-28 |
20210334957 | DENSLEY-PACKED ANALYTE LAYERS AND DETECTION METHODS - Disclosed herein are methods and systems for detection and discrimination of optical signals from a densely packed substrate. These have broad applications for biomolecule detection near or below the diffraction limit of optical systems, including in improving the efficiency and accuracy of polynucleotide sequencing applications. | 2021-10-28 |
20210334958 | METHOD FOR ESTABLISHING THREE-DIMENSIONAL MEDICAL IMAGING MODEL - A method for establishing a 3D medical imaging model of a subject is to be implemented by an X-ray computed tomography (CT) scanner and a processor. The method includes: emitting X-rays on the subject sequentially from plural angles with respect to the subject to obtain M number of X-ray images of the subject in sequence; obtaining, for each pair of consecutive X-ray images, K number of intermediate image(s) by using the pair of consecutive X-ray images as inputs to a convolutional neural network (CNN) model that has been trained for frame interpolation; and establishing the 3D medical imaging model by using a 3D reconstruction technique based on the M number of X-ray images and the intermediate images obtained for the M number of X-ray images. | 2021-10-28 |
20210334959 | INFERENCE APPARATUS, MEDICAL APPARATUS, AND PROGRAM - To provide a technique with which precision of inference can be improved in the case that grayscale images, such as CT images, are handled, there is provided an inference apparatus comprising: an inference section | 2021-10-28 |
20210334960 | Systems and Methods for Analyzing Perfusion-Weighted Medical Imaging Using Deep Neural Networks - Systems and methods for analyzing perfusion-weighted medical imaging using deep neural networks are provided. In some aspects, a method includes receiving perfusion-weighted imaging data acquired from a subject using a magnetic resonance (“MR”) imaging system and modeling at least one voxel associated with the perfusion-weighted imaging data using a four-dimensional (“4D”) convolutional neural network. The method also includes extracting spatio-temporal features for each modeled voxel and estimating at least one perfusion parameter for each modeled voxel based on the extracted spatio-temporal features. The method further includes generating a report using the at least one perfusion parameter indicating perfusion in the subject. | 2021-10-28 |
20210334961 | SYSTEMS, METHODS, AND DEVICES FOR MEDICAL IMAGE ANALYSIS, DIAGNOSIS, RISK STRATIFICATION, DECISION MAKING AND/OR DISEASE TRACKING - The disclosure herein relates to systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and/or disease tracking. In some embodiments, the systems, devices, and methods described herein are configured to analyze non-invasive medical images of a subject to automatically and/or dynamically identify one or more features, such as plaque and vessels, and/or derive one or more quantified plaque parameters, such as radiodensity, radiodensity composition, volume, radiodensity heterogeneity, geometry, location, and/or the like. In some embodiments, the systems, devices, and methods described herein are further configured to generate one or more assessments of plaque-based diseases from raw medical images using one or more of the identified features and/or quantified parameters. | 2021-10-28 |
20210334962 | SYSTEMS, METHODS, AND DEVICES FOR MEDICAL IMAGE ANALYSIS, DIAGNOSIS, RISK STRATIFICATION, DECISION MAKING AND/OR DISEASE TRACKING - The disclosure herein relates to systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and/or disease tracking. In some embodiments, the systems, devices, and methods described herein are configured to analyze non-invasive medical images of a subject to automatically and/or dynamically identify one or more features, such as plaque and vessels, and/or derive one or more quantified plaque parameters, such as radiodensity, radiodensity composition, volume, radiodensity heterogeneity, geometry, location, and/or the like. In some embodiments, the systems, devices, and methods described herein are further configured to generate one or more assessments of plaque-based diseases from raw medical images using one or more of the identified features and/or quantified parameters. | 2021-10-28 |
20210334963 | METHOD AND SYSTEM FOR ASSESSING VESSEL OBSTRUCTION BASED ON MACHINE LEARNING - Methods and systems are provided for assessing the presence of functionally significant stenosis in one or more coronary arteries, further known as a severity of vessel obstruction. The methods and systems can implement a prediction phase that comprises segmenting at least a portion of a contrast enhanced volume image data set into data segments corresponding to wall regions of the target organ, and analyzing the data segments to extract features that are indicative of an amount of perfusion experiences by wall regions of the target organ. The methods and systems can obtain a feature-perfusion classification (FPC) model derived from a training set of perfused organs, classify the data segments based on the features extracted and based on the FPC model, and provide, as an output, a prediction indicative of a severity of vessel obstruction based on the classification of the features. | 2021-10-28 |
20210334964 | SYSTEMS, METHODS, AND DEVICES FOR MEDICAL IMAGE ANALYSIS, DIAGNOSIS, RISK STRATIFICATION, DECISION MAKING AND/OR DISEASE TRACKING - The disclosure herein relates to systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and/or disease tracking. In some embodiments, the systems, devices, and methods described herein are configured to analyze non-invasive medical images of a subject to automatically and/or dynamically identify one or more features, such as plaque and vessels, and/or derive one or more quantified plaque parameters, such as radiodensity, radiodensity composition, volume, radiodensity heterogeneity, geometry, location, and/or the like. In some embodiments, the systems, devices, and methods described herein are further configured to generate one or more assessments of plaque-based diseases from raw medical images using one or more of the identified features and/or quantified parameters. | 2021-10-28 |
20210334965 | SYSTEMS, METHODS, AND DEVICES FOR MEDICAL IMAGE ANALYSIS, DIAGNOSIS, RISK STRATIFICATION, DECISION MAKING AND/OR DISEASE TRACKING - The disclosure herein relates to systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and/or disease tracking. In some embodiments, the systems, devices, and methods described herein are configured to analyze non-invasive medical images of a subject to automatically and/or dynamically identify one or more features, such as plaque and vessels, and/or derive one or more quantified plaque parameters, such as radiodensity, radiodensity composition, volume, radiodensity heterogeneity, geometry, location, and/or the like. In some embodiments, the systems, devices, and methods described herein are further configured to generate one or more assessments of plaque-based diseases from raw medical images using one or more of the identified features and/or quantified parameters. | 2021-10-28 |
20210334966 | SYSTEMS, METHODS, AND DEVICES FOR MEDICAL IMAGE ANALYSIS, DIAGNOSIS, RISK STRATIFICATION, DECISION MAKING AND/OR DISEASE TRACKING - The disclosure herein relates to systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and/or disease tracking. In some embodiments, the systems, devices, and methods described herein are configured to analyze non-invasive medical images of a subject to automatically and/or dynamically identify one or more features, such as plaque and vessels, and/or derive one or more quantified plaque parameters, such as radiodensity, radiodensity composition, volume, radiodensity heterogeneity, geometry, location, and/or the like. In some embodiments, the systems, devices, and methods described herein are further configured to generate one or more assessments of plaque-based diseases from raw medical images using one or more of the identified features and/or quantified parameters. | 2021-10-28 |
20210334967 | SYSTEMS AND METHODS FOR URIANLYSIS USING A PERSONAL COMMUNICATIONS DEVICE - Systems and methods for testing visible chemical reactions of a reagent are provided. In one implementation, the method may include receiving from an image sensor associated with a mobile communications device an image of a reagent with a plurality of colored test reagent pads in proximity to a colorized surface having a plurality of colored reference elements of differing shades. The method further includes using the differing shades of the plurality of colored reference elements to determine local illumination conditions. Thereafter, the method includes using the determined local illumination conditions and an analysis of a depiction of the plurality of colored test reagent pads in the image to determine an extent of a chemical reaction on the reagent. Then the method includes causing the mobile communications device to provide to the user an indication that the testing of the reagent is complete. | 2021-10-28 |
20210334968 | IMAGE ANALYSIS METHOD AND SYSTEM - A computer-implemented image analysis method and system. The method comprises: quantifying one or more features segmented and identified from a medical image of a subject; extracting clinically relevant features from non-image data pertaining to the subject; assessing the features segmented from the medical image and the features extracted from the non-image data with a trained machine learning model; and outputting one or more results of the assessing of the features. | 2021-10-28 |
20210334969 | Device and Method for Cancer Detection - A cancer cell detection device includes a computer with a database and a display and a microscope coupled to the computer. The microscope has a base upon which a biopsy sample can be placed. The device further includes a camera coupled to the microscope and computer. The camera is configured to capture images of the biopsy sample. The device also has a filter configured to attach to the microscope and a connection feature for connecting the computer to the camera and the filter. The computer further includes a processor that processes the images captured by the camera and classifies the images according to known variables stored in the database. | 2021-10-28 |
20210334970 | CLASSIFYING A LESION BASED ON LONGITUDINAL STUDIES - A computer-implemented method is for classifying a lesion. In an embodiment, the method includes receiving a first medical image of an examination volume, the first medical image corresponding to a first examination time; receiving a second medical image of the examination volume, the second medical image corresponding to a second examination time, different from the first examination time; determining a first lesion area corresponding to a lesion within the first medical image; determining a registration function based on a comparison of the first medical image and the second medical image; determining a second lesion area within the second medical image based on the registration function and the first lesion area; and classifying the lesion within the first medical image based on the second lesion area. A computer-implemented method for providing a trained classification function, a classification system, and computer program products and computer-readable media are also disclosed. | 2021-10-28 |
20210334971 | Enterobius Vermicularis Detection System | 2021-10-28 |
20210334972 | METHODS AND APPARATUS FOR HILN DETERMINATION WITH A DEEP ADAPTATION NETWORK FOR BOTH SERUM AND PLASMA SAMPLES - A method of characterizing a serum or plasma portion of a specimen in a specimen container provides an HILN (hemolysis, icterus, lipemia, normal) determination. Pixel data of an input image of the specimen container is processed by a classification network to identify whether the specimen contains plasma or serum. Specimen Pixel data representing a plasma sample are forwarded to a segmentation/classification/regression network trained with plasma samples for HILN determination. Pixel data representing a serum sample are forwarded to a transformation network, wherein the serum sample pixel data is transformed into pixel data that matches pixel data of a corresponding previously-collected plasma sample by changing sample color, contrast, intensity, and/or brightness. The transformed serum sample pixel data are forwarded to the segmentation/classification/regression network for HILN determination. Quality check modules and testing apparatus configured to carry out the method are also described, as are other aspects. | 2021-10-28 |
20210334973 | TEMPERATURE-SENSITIVE TRIGGER SKEW CORRECTION - Systems and methods include determination of a first relationship between change in photopeak energy and event time skew based on a first detection event signal acquired from a detector at a first temperature and a subsequent detection event signal acquired from the detector at a next temperature, acquisition of a subsequent detection event signal from the detector, determination of an event time associated with this detection event signal, determination of an event time skew based on an energy of this detection event signal and the first relationship, determination of a corrected event time based on the event time and the event time skew, and identification of a coincidence based on the corrected event time. | 2021-10-28 |
20210334974 | SYSTEMS AND METHODS FOR DEEP-LEARNING-BASED SEGMENTATION OF COMPOSITE IMAGES - Presented herein are systems and methods that provide for improved | 2021-10-28 |
20210334975 | IMAGE SEGMENTATION USING ONE OR MORE NEURAL NETWORKS - Apparatuses, systems, and techniques are presented to predict segmentations for objects in images. In at least one embodiment, a neural network is trained to determine one or more segmentation masks corresponding to one or more objects of one or more digital images based, at least in part, on one or more boundary regions of the one or more objects. | 2021-10-28 |
20210334976 | PANOPTIC GENERATIVE ADVERSARIAL NETWORK WITH EXPLICIT MODELING OF CATEGORY AND INSTANCE INFORMATION - Systems and methods for panoptic segmentation of an image of a scene, comprising: receiving a synthetic data set as simulation data set in a simulation domain, the simulation data set comprising a plurality of synthetic data objects; disentangling the synthetic data objects by class for a plurality of object classes; training each class of the plurality of classes separately by applying a Generative Adversarial Network (GAN) to each class from the data set in the simulation domain to create a generated instance for each class; combining the generated instances for each class with labels for the objects in each class to obtain a fake instance of an object; fusing the fake instances to create a fused image; and applying a GAN to the fused image and a corresponding real data set in a real-world domain to obtain an updated data set. The process can be repeated across multiple iterations. | 2021-10-28 |
20210334977 | IMAGE PROCESSING METHOD, APPARATUS, TERMINAL DEVICE AND STORAGE MEDIUM - Aspects of this disclosure can provide a method that is applied to an image with a rectangular shape. The method can include dividing the image into a plurality of areas based on right angles of the image, and establishing a corresponding rectangular coordinate system for the right angle within each of the plurality of areas. Further, an intersection of a first axis and a second axis is taken as an origin of the rectangular coordinate system and a quadrant where the right angle is located is taken as a first quadrant of the corresponding rectangular coordinate system. The method can further include determining whether a pixel in the image is located in the first quadrant, and, if it is determined that the pixel is located in the first quadrant of the rectangular coordinate system, performing an operation on the pixel, otherwise, performing no operation on the pixel. | 2021-10-28 |
20210334978 | SYSTEM AND METHOD FOR EXTRACTING A REGION OF INTEREST FROM VOLUME DATA - The present disclosure relates to a system and method for extracting a region of interest. Image data in a first sectional plane may be acquired. The image data in the first sectional plane may include at least one first slice image and one second slice image. A first region of interest (ROI) in the first slice image may be determined. A second ROI in the second slice image may be determined. A first volume of interest (VOI) may be determined based on the first ROI, the second ROI, and characteristic information of the image data in the first sectional plane. | 2021-10-28 |
20210334979 | Method and Apparatus of Segmenting Image, Electronic Device and Storage Medium - A method of segmenting an image includes acquiring a first segmentation probability map of an input portrait image and detecting a region where a target part of the input portrait image is located. The method also includes acquiring a partial image including the target part and corresponding to the region and acquiring a partial segmentation probability map of the region in the first segmentation probability map. The method further includes segmenting the partial image in accordance with the partial segmentation probability map to acquire a second segmentation probability map. The first segmentation probability map and the second segmentation probability map are combined to acquire a segmentation result of the input portrait image. | 2021-10-28 |
20210334980 | METHOD AND APPARATUS FOR DETERMINING LOCATION OF SIGNAL LIGHT, STORAGE MEDIUM, PROGRAM AND ROADSIDE DEVICE - A method and apparatus for determining a location of a signal light, a storage medium, a program and a roadside device provided by the present application, which relate to intelligent traffic technology and automatic driving technology, including: for a plurality of frames of images captured including the signal light, determining horizontal edges and vertical edges in each of the images; combining, according to the obtained horizontal edges and vertical edges, to obtain a plurality of rectangular frames; and determining, according to the plurality of rectangular frames and preset size information of a frame of the signal light, the location of the signal light in the image. | 2021-10-28 |
20210334981 | PIXEL-LEVEL OBJECT DETECTION SYSTEM AND PROGRAM THEREOF - A pixel-level object detection system that detects an object at a pixel level, includes: an imaging unit that acquires an inference image that is an image that captures a detection target; an area detection unit that detects an area including a detection target from the inference image; a detail detection unit that detects the detection target using only local information from the inference image; and a result integration processing unit that integrates an output of the area detection unit with an output of the detail detection unit to output a segmentation map indicating, as a probability map, which pixel in the image corresponds to the detection object. | 2021-10-28 |
20210334982 | TRACKING VULNERABLE ROAD USERS ACROSS IMAGE FRAMES USING FINGERPRINTS OBTAINED FROM IMAGE ANALYSIS - Systems and methods are disclosed herein for tracking a vulnerable road user (VRU) regardless of occlusion. In an embodiment, the system captures a series of images including the VRU, and inputs each of the images into a detection model. The system receives a bounding box for each of the series of images of the VRU as output from the detection model. The system inputs each bounding box into a multi-task model, and receives as output from the multi-task model an embedding for each bounding box. The system determines, using the embeddings for each bounding box across the series of images, an indication of which of the embeddings correspond to the VRU. | 2021-10-28 |
20210334983 | IMAGE MONITORING APPARATUS AND METHOD - An image monitoring apparatus including an image sensing module and a processor is provided. The image sensing module is configured to obtain an invisible light dynamic image of an objective scene. The invisible light dynamic image includes a plurality of frames. The processor is configured to perform operations according to at least one frame of the invisible light dynamic image to determine a status of at least one live body corresponding to the objective scene to be one of a plurality of status types and determine at least one status valid region of the invisible light dynamic image, and set scene information of each pixel of the at least one status valid region to be one of a plurality of scene types according to the status type of the at least one live body. An image monitoring method is also provided. | 2021-10-28 |
20210334984 | METHOD AND SYSTEM FOR AERODROME TAXIWAY SURFACE MARKING DETECTION - There is provided methods and systems for controlling airplane taxiing, including detecting aerodrome taxiway lines and estimating cross-track error. | 2021-10-28 |
20210334985 | METHOD AND APPARATUS FOR TRACKING TARGET - A method and apparatus for tracking a target are provided. The method may include: generating a position of a candidate box of a to-be-tracked target in a to-be-processed image; determining, for a pixel in the to-be-processed image, a probability that each anchor box of at least one anchor box arranged for the pixel includes the to-be-tracked target, and determining a deviation of the candidate box corresponding to the anchor box relative to the anchor box; determining candidate positions of the to-be-tracked target corresponding to the at least two anchor boxes respectively; and combining at least two candidate positions among the determined candidate positions to obtain a position of the to-be-tracked target in the to-be-processed image. | 2021-10-28 |
20210334986 | METHOD FOR DETECTING VEHICLE LANE CHANGE, ROADSIDE DEVICE, AND CLOUD CONTROL PLATFORM - The present disclosure provides a method and apparatus for detecting a lane change. The method may include: performing object detection on a vehicle image acquired by a camera to obtain two-dimensional vehicle information of a vehicle in the vehicle image; determining three-dimensional vehicle information corresponding to the two-dimensional vehicle information using a ground equation and a parameter of the camera; and determining, in response to meeting a detection condition, based on lane location information in a high definition map and the three-dimensional vehicle information, whether the vehicle has a lane change, to obtain a lane change detection result. | 2021-10-28 |
20210334987 | CODE POINT-DRIVEN THREE-DIMENSIONAL POINT CLOUD DEFORMATION METHOD - Disclosed herein is a code point-driven three-dimensional (3D) point cloud deformation method. In the method, movable code points and fixed code points are respectively pasted on a moving structure and a static structure. Reference poses of the movable code points and fixed code points are obtained by a dual-camera measurement system, and a 3D point cloud reference model containing the moving structure and the static structure is obtained by 3D laser scanning. A transformation matrix of each code point is calculated, and a real-time point cloud model is established based on the transformation matrix to complete the real-time and dynamic measurement of the moving structure. | 2021-10-28 |
20210334988 | A RGB POINT CLOUDS BASED MAP GENERATION SYSTEM FOR AUTONOMOUS VEHICLES - In one embodiment, a system receives a number of point clouds captured by one or more LIDAR sensors of an ADV and corresponding poses. The system receives a number of RGB images from one or more image capturing sensors of the ADV. The system synchronizes the RGB images with the point clouds to obtain RGB point clouds. The system extracts features from the RGB point clouds, the features including contextual and spatial information of the RGB point clouds. The system registers the RGB point clouds based on the extracted features and generates a point cloud map based on the registration of the RGB point clouds. | 2021-10-28 |
20210334989 | IMAGE ALIGNMENT FOR NOISY IMAGES - Methods and systems for aligning images of a specimen are provided. One method includes reducing noise in a test image generated for a specimen by an imaging subsystem thereby generating a denoised test image. The method also includes detecting one or more patterned features in the denoised test image extending in at least a horizontal or vertical direction. In addition, the method includes designating an area of the denoised test image in which the detected one or more patterned features are located as a region of interest in the denoised test image. The method further includes aligning the denoised test image to a reference image for the specimen using only the region of interest in the denoised test image and a corresponding area in the reference image. | 2021-10-28 |
20210334990 | Method, System and Terminal for Generating Verification Template - The present disclosure provides a method for generating a verification template. The verification template includes an infrared template and a depth template. The method includes: obtaining an infrared image of a target object and storing the infrared image into a trusted execution environment as the infrared template; controlling a laser projector to project laser light to the target object; obtaining a laser pattern modulated by the target object; and processing the laser pattern to obtain a depth image and storing the depth image into the trusted execution environment as the depth template. | 2021-10-28 |
20210334991 | OPTICAL DEVICE, CAMERA DEVICE, AND ELECTRONIC APPARATUS INCLUDING THE SAME - An optical device includes: a first light emitting device that emits a plurality of line pattern lights spaced apart from each other to a target area; at least one sensor device that detects a received light, which is the emitted line pattern light, that is reflected from the target area; and a controller that calculates a parallax distance from a pattern of the detected received light, and acquires depth information of the target area by using the calculated parallax distance, wherein the first light emitting device includes: at least one light emitting unit including at least one light emitting element and emitting light of a specific wavelength; and a first optical member that generates light emitted from the at least one light emitting unit into at least one line pattern light. | 2021-10-28 |
20210334992 | SENSOR-BASED DEPTH ESTIMATION - Various implementations disclosed herein include techniques for estimating depth using sensor data indicative of changes in light intensity. In one implementation a method includes acquiring pixel events output by an event sensor that correspond to a scene disposed within a field of view of the event sensor. Each respective pixel event is generated in response to a specific pixel sensor within a pixel array of the event sensor detecting a change in light intensity that exceeds a comparator threshold. Mapping data is generated by correlating the pixel events with multiple illumination patterns projected by an optical system towards the scene. Depth data is determined for the scene relative to a reference position based on the mapping data. | 2021-10-28 |
20210334993 | PHOTOMETRIC-BASED 3D OBJECT MODELING - Aspects of the present disclosure involve a system and a method for performing operations comprising: accessing a source image depicting a target structure; accessing one or more target images depicting at least a portion of the target structure; computing correspondence between a first set of pixels in the source image of a first portion of the target structure and a second set of pixels in the one or more target images of the first portion of the target structure, the correspondence being computed as a function of camera parameters that vary between the source image and the one or more target images; and generating a three-dimensional (3D) model of the target structure based on the correspondence between the first set of pixels in the source image and the second set of pixels in the one or more target images based on a joint optimization of target structure and camera parameters. | 2021-10-28 |
20210334994 | MULTIPLE INSTANCE LEARNING METHOD - A multiple instance learning device for analyzing 3D images, comprises a memory in which a multiple instance learning model is stored and at least one processor electrically connected to the memory, wherein the multiple instance learning model comprises a convolution block configured to derive a feature map for each of 2D instances of a 3D image inputted to the multiple instance learning model, a spatial attention block configured to derive spatial attention maps of the instances from the feature maps derived from the convolution block, an instance attention block configured to receive a result of combining the feature maps and the spatial attention maps and derive an attention score for each instance, and derive an aggregated embedding for the 3D image by aggregating embeddings of the instances according to the attention scores. | 2021-10-28 |
20210334995 | SYSTEM AND METHOD OF MEASURING DISTANCES RELATED TO AN OBJECT UTILIZING ANCILLARY OBJECTS - A system and method for measuring distances related to a target object depicted in an image. A captured digital image is obtained containing a scene with a target object whose dimension is to be measured. The digital image may contain a target object dimension identified by one or more ancillary objects and a reference object in the same or different planes. Image processing is performed to find the reference object using known fiducial patterns printed on the reference object, metadata supplied by a user and/or by the detection of colored papers in the scene of the captured image. Once located and measured, the reference object is used to calculate a pixel scale factor used to measure the target object dimensions. Target object dimensions are provided to an automated or semi-automated measurement process, design and manufacturing system such that customized parts for a supplemental fenestration are provided to end users. | 2021-10-28 |
20210334996 | UNSUPERVISED OBJECT SIZING METHOD FOR SINGLE CAMERA VIEWING - An unsupervised method is presented for determining size of an object captured in an image. The method includes: capturing a set of images with a camera, where each image in the set of images is captured with the camera set at a different f-number; for each image in the set of images, computing a quality metric for the image, where the qualitymetric quantifies focus using contrast; identifying a given image in the set of images using the contrast metrics and the f-number of the camera; calculating a hyperfocal distance using parameters of the camera when taking the given image; and quantifying one or more dimensions of the object as a function of the hyperfocal distance; and if the object is known, using a view classifier to estimate the dimension in 3D. | 2021-10-28 |
20210334997 | FLUID SAMPLING APPARATUS AND METHOD - The present invention relates generally to a sampling apparatus and a method for bodily fluids, and, more specifically, a blood sampling apparatus and a method for using the same. A blood collection system includes a housing having at least one open end, and an absorbent material positioned within the housing. The absorbent material has at least one end positioned proximate the at least one open end of the housing. A method of collecting blood samples includes positioning an absorbent material near a source of blood, holding the absorbent material with a housing, the absorbent material absorbing a volume of blood, and moving the housing and absorbent material to a position where the absorbent material can dry. | 2021-10-28 |
20210334998 | IMAGE PROCESSING METHOD, APPARATUS, DEVICE AND MEDIUM FOR LOCATING CENTER OF TARGET OBJECT REGION - There are provided in the present disclosure an image processing method, apparatus, device and medium for locating a center of a target object region. The image processing method includes: acquiring a binary image including the target object region; extracting a boundary line of the target object region from the binary image, wherein the boundary line includes a plurality of boundary points; selecting one of the plurality of boundary points as an initiation point, and determining a first connected region, wherein a starting point of the first connected region is the initiation point; determining the center of the target object region based on the first connected region. | 2021-10-28 |
20210334999 | POSE ESTIMATION METHOD OF BENDABLE INTERVENTIONAL MEDICAL DEVICE USING SINGLE-VIEW X-RAY IMAGE - The present invention relates to a pose estimation method of an interventional medical device using a single-view X-ray image which is captured using a bendable interventional medical device equipped with a plurality of radiopaque markers and using an X-ray source. The pose estimation method includes an operation (a) of defining a circle assuming that the interventional medical device is bent at a constant curvature, an operation (b) of extracting a position value of the marker from an X-ray image obtained by the X-ray source projecting X-rays onto the markers, and an operation (c) of setting a projection plane and estimating a shape of the circle using a position value of the marker extracted from a projected image obtained by perspective-projecting the circle onto the projection plane and using the position value of the marker extracted from the X-ray image. | 2021-10-28 |
20210335000 | CAMERA HEIGHT CALCULATION METHOD AND IMAGE PROCESSING APPARATUS - A camera height calculation method that causes a computer to execute a process, the process includes obtaining one or more images captured by an in-vehicle camera, extracting one or more feature points from the one or more images, identifying first feature points that exist over a road surface from the one or more feature points, and calculating a height of the in-vehicle camera from the road surface, based on positions of the identified first feature points. | 2021-10-28 |
20210335001 | IMAGE-PROCESSING DEVICE, IMAGE-PROCESSING METHOD, AND IMAGE-PROCESSING PROGRAM - An image-processing device that includes at least one processor which is configured to: set discrete measurement regions in a standard image and a reference image selected from images acquired in a time series manner and calculate motion vectors in the respective measurement regions; set a region of interest in the standard image; select, from the calculated motion vectors, the motion vectors in the set region of interest; estimate a homographic-transformation matrix that represents a motion in the region of interest by using the selected motion vectors; evaluate an error in the homographic-transformation matrix on the basis of the estimated homographic-transformation matrix and the calculated motion vectors; and set, on the basis of the evaluation result for the homographic-transformation matrix estimated on the basis of a first region of interest, a second region of interest a size of which is increased as compared with that of the first region of interest. | 2021-10-28 |
20210335002 | METHOD, APPARATUS, TERMINAL, AND STORAGE MEDIUM FOR TRAINING MODEL - This application disclose a method for training a model performed at a computing device. The method includes: acquiring a template image and a test image; invoking a first object recognition model to process a feature of a tracked object in the template image to obtain a first reference response, and a second object recognition model to process the feature in the template image to obtain a second reference response; invoking the first model to process a feature of a tracked object in the test image to obtain a first test response, and the second model to process the feature to obtain a second test response; tracking the first test response to obtain a tracking response of the tracked object; and updating the first object recognition model based on differences between the first and second reference responses, that between the first and second test responses, and that between a tracking label and the tracking response. | 2021-10-28 |
20210335003 | SYSTEMS AND METHODS TO FACILITATE INTERACTION BY ONE OR MORE PARTICIPANTS WITH CONTENT PRESENTED ACROSS MULTIPLE DISTINCT PHYSICAL LOCATIONS - This disclosure presents systems and methods to facilitate interaction by one or more participants with content presented across multiple distinct physical locations. A current distinct physical location of a participant may be determined. In response to determining the current distinct physical location in which the participant is located, operation of one or more content devices physically present in the current distinct physical location may be effectuated. | 2021-10-28 |
20210335004 | TEXTURE-BASED POSE VALIDATION - Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing a program and a method for detecting a pose of a user. The program and method include operations comprising: receiving a monocular image that includes a depiction of a body of a user in a given pose; detecting a plurality of skeletal joints of the body depicted in the monocular image; generating an outline of the body of the user based on the plurality of skeletal joints; retrieving a mask that represents a target pose; comparing the outline of the body depicted in the monocular image with the mask that represents the target pose; and determining that the given pose of the body of the user matches the target pose in response to comparing the outline of the body with the mask. | 2021-10-28 |
20210335005 | Enterprise System Augmented Reality Detection - A system, method, and computer-readable medium are disclosed for augmented reality detection of enterprise systems in a data center. Ann augmented reality view is captured of an enterprise system and objects of the enterprise system. Significant areas are detected of the enterprise. In the captured augmented reality view bounding boxes are added around the significant areas. Determination is performed of three-dimensional orientation of the significant areas. Depth of the signification areas is determined based on the three-dimensional orientation. | 2021-10-28 |
20210335006 | INFORMATION PROCESSING APPARATUS, IMAGE ORIENTATION DETERMINATION METHOD, AND MEDIUM - An information processing apparatus includes a processor to store a determination feature in a predetermined partial area in an image having a predetermined format and a position of the partial area in a state in which the predetermined format image is erect, and determine whether a feature corresponding to the determination feature is present at a position in an at least one input determination target image corresponding to the position of the partial area in the predetermined format image to thereby determine whether the determination target image is erect. | 2021-10-28 |
20210335007 | ACTIVE TARGETS FOR AUTOMATIC OPTICAL SENSOR ALIGNMENT - A system and method to perform automatic alignment of an optical sensor of a vehicle involve disposing two or more active targets at known locations in an alignment station. Each of the two or more active targets have at least two visibly different states. The method includes coding a change among the at least two visibly different states for the two or more active targets. Images obtained by the optical sensor of the two or more active targets are processed to identify features and perform the alignment of the optical sensor with another sensor of the vehicle or with the vehicle. | 2021-10-28 |
20210335008 | METHOD AND APPARATUS FOR PROCESSING VIDEO FRAME - Embodiments of the present disclosure provide a method and apparatus for processing a video frame, and relates to the field of computer vision technology. The method may include: acquiring a plurality of candidate first-order radial distortion parameters preset for a to-be-processed video frame, and acquiring a specified value of a specified radial distortion parameter; performing radial distortion correction on the to-be-processed video frame to obtain a first initial corrected video frame; selecting a first initial corrected video frame in which a local region except for a center region after distortion correction includes a largest number of straight line segments; and determining a candidate first-order radial distortion parameter corresponding to the selected first initial corrected video frame for use as a target first-order radial distortion parameter of the to-be-processed video frame. | 2021-10-28 |
20210335009 | IMAGE CALIBRATION METHOD AND IMAGE CALIBRATION DEVICE - An image calibration method applied to an image calibration device includes comparing a first image with a second image to acquire a first overlapping region of the first image and a second overlapping region of the second image, analyzing color distribution of the first overlapping region to acquire at least one first base color value, analyzing color distribution of the second overlapping region to acquire at least one second base color value, setting a ratio of the at least one first base color value to the at least one second base color value as an luminance compensation value when the at least one first base color value is greater than the at least one second base color value, and utilizing the luminance compensation value to adjust pixels of the second image. The first overlapping region is overlapped with the second overlapping region. | 2021-10-28 |
20210335010 | CALIBRATION METHOD AND CALIBRATION APPARATUS - A calibration method of calibrating, using a processor, parameters of a plurality of imaging apparatuses that capture a common three-dimensional space, includes: obtaining images captured by the plurality of imaging apparatuses; obtaining the parameters of the plurality of imaging apparatuses; for each of the images, generating at least one search window to extract a plurality of feature points of the image using the parameters; for each of the images, extracting the plurality of feature points from an inside of the at least one search window; performing feature point matching between the images using the plurality of feature points; and calibrating the parameters based on a plurality of matching results obtained. | 2021-10-28 |
20210335011 | CALIBRATION OF MOBILE ELECTRONIC DEVICES CONNECTED TO HEADSETS WEARABLE BY USERS - A mobile electronic device is provided for use with a headset. A camera outputs digital pictures of a portion of the headset. A display device displays information for viewing by a user wearing the headset. A processor retrieves calibration parameters that characterize at least a pose of the camera relative to the display device, and processes a digital picture from the camera to identify a pose of an optically identifiable feature within the digital picture. A pose of the mobile electronic device is identified relative to the holder based on the identified pose of the optically identifiable feature within the digital picture and based on at least the pose of the camera relative to the display device as characterized by the calibration parameters. The processor controls where graphical objects are rendered on the display device based on the identified pose of the mobile electronic device relative to the holder. | 2021-10-28 |
20210335012 | TEMPERATURE REFERENCE SYSTEMS AND METHODS THEREOF FOR THERMAL IMAGING - The disclosure relates to various temperature reference systems capable of generating at least one reference temperature. Such systems may provide the reference temperature to an IR camera which may then use the reference temperature in measuring a temperature of a target who has an unknown temperature. More particularly, this disclosure discloses various temperature reference units or their pink bodies of which temperature is to be detected and used as the reference temperature by the IR camera, and various configurations and methods of preventing or minimizing inherent errors which are caused by thermal conduction as well as thermal convection on and across such a temperature reference unit. This disclosure also relates to various methods of fabricating, installing, and using the pink bodies, temperature reference units, and temperature reference systems, in conjunction with an IR camera, a processor or other thermal imaging equipment. | 2021-10-28 |
20210335013 | METHOD FOR CHARACTERIZING POLARIZATION IMAGE INFORMATION AND METHOD FOR COMPUTING CHARACTERIZATION PARAMETERS - A method for characterizing polarization image information and a method for computing characterization parameters are provided. The method includes: obtaining n polarized subimages of a polarization imaging target, wherein each polarized subimage corresponds to a different polarization angle and n≥3; and computing a parameter matrix [I | 2021-10-28 |
20210335014 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND RECORDING MEDIUM - An information processing apparatus includes circuitry to: divide an image into a first block and a second block; encode the first block using fixed-length coding based on a determination that a first data size is equal to or greater than a threshold, the first data size being a data size for the first block in a case where the first block is encoded using variable-length coding; and encode the first block using variable-length coding based on a determination that the first data size is less than the threshold. | 2021-10-28 |
20210335015 | THREE-DIMENSIONAL DATA POINT ENCODING AND DECODING METHOD AND DEVICE - A three-dimensional data point encoding method, decoding method, and encoding device. The encoding method includes: determining maximum values of side lengths of a cuboid of three-dimensional data points to be encoded in three directions according to position coordinates of the three-dimensional data points to be encoded; performing at least one octree partition process on the cuboid, to obtain a plurality of first-type sub-blocks; performing at least one quadtree partition process or binary tree partition process on at least one first-type sub-block of the plurality of first-type sub-blocks; and encoding the three-dimensional data points to be encoded according to partition results of the cuboid. | 2021-10-28 |
20210335016 | METHOD AND DEVICE FOR ENCODING OR DECODING THREE-DIMENSIONAL DATA POINT SET - The present disclosure provides a three-dimensional (3D) data point set encoding method. The method includes performing position coordinate encoding on position coordinates of one or more 3D data points in the 3D data point set to obtain a first binary bitstream; performing binary encoding on attributes of the one or more 3D data points based on a position coordinates sequence after encoding the position coordinates of the one or more 3D data points to obtain a second binary bitstream; and performing entropy encoding on the first binary bitstream and the second binary bitstream respectively. | 2021-10-28 |
20210335017 | STOP CODE TOLERANT IMAGE COMPRESSION NEURAL NETWORKS - Methods, systems, and apparatus, including computer programs encoded on computer storage media, for image compression and reconstruction. A request to generate an encoded representation of an input image is received. The encoded representation of the input image is then generated. The encoded representation includes a respective set of binary codes at each iteration. Generating the set of binary codes for the iteration from an initial set of binary includes: for any tiles that have already been masked off during any previous iteration, masking off the tile. For any tiles that have not yet been masked off during any of the previous iterations, a determination is made as to whether a reconstruction error of the tile when reconstructed from binary codes at the previous iterations satisfies an error threshold. When the reconstruction quality satisfies the error threshold, the tile is masked off. | 2021-10-28 |
20210335018 | DATA GENERATING DEVICE, TRAINING DEVICE, AND DATA GENERATING METHOD - A data generating device includes at least one memory, and at least one processor configured to perform a data augmentation process on intermediate data before a decompressing process is completed, and generate decompressed data from the intermediate data on which the data augmentation process has been performed. | 2021-10-28 |
20210335019 | METHOD AND DEVICE FOR PROCESSING THREE-DIMENSIONAL DATA POINT SET - The present disclosure provides a three-dimensional (3D) data point set processing method, the 3D data point set being divided by a multi-tree method. The 3D) data point set processing method includes encoding or decoding a Nth layer of the multi-tree in by using a breadth-first approach; and encoding or decoding a first node by using a depth-first approach when all 3D data points in the first node of the Nth layer fall into a same node of a Mth layer under the first node, wherein N and M are integers greater than or equal to one. | 2021-10-28 |
20210335020 | Generation and Implementation of Multi-Layer Encoded Data Images - Provided are embodiments for obtaining time series datasets, determining resolution and section layout for a multi-layer encoded data image, determining, based on the image resolution and the section layout, a section resolution, generating image section arrays for the datasets that includes scaling the time series datasets to the section resolution to generate scaled time series datasets, generating an image section array for the time series datasets that include a first pixel value at points in the image section array corresponding to a data point of the scaled time series dataset and a second pixel value at points in the image section array that do not correspond to a data point of the scaled time series dataset, and generating, based on the image section arrays, the multi-layer encoded data image where each image section array is populated into a respective section of a respective layer of the image. | 2021-10-28 |
20210335021 | METHOD AND SYSTEM FOR CREATING VIRTUAL IMAGE BASED DEEP-LEARNING - A method and system for creating a virtual image based on deep learning according to an embodiment of the present disclosure creates a virtual image based on deep learning by an image application executed by a processor of a computing device, where the method comprises obtaining a plurality of product images with respect to one product; classifying the obtained product images into a plurality of categories according to different pose types; determining a target category from among the plurality of categories for which the virtual image is to be created; creating a virtual image of a first pose type matched to the determined target category based on at least one product image among the plurality of product images; and displaying the created virtual image. | 2021-10-28 |
20210335022 | METHOD OF REGULARLIZATION DESIGN AND PARAMETER TUNING FOR DYNAMIC POSITRON EMISSION TOMOGRAPHY IMAGE RECONSTRUCTION - A method of imaging includes obtaining a plurality of dynamic sinograms, each dynamic sinogram representing detection events of gamma rays at a plurality of detector elements, summing the plurality of dynamic sinograms to generate an activity map based on a radioactivity level of the gamma rays; reconstructing, using the plurality of dynamic sinograms, a plurality of dynamic images, each of the plurality of dynamic images corresponding to one of the each of the plurality of dynamic sinograms, and generating, using the plurality of dynamic sinograms and the activity map, at least one parametric image. | 2021-10-28 |
20210335023 | METHOD AND APPARATUS FOR SCATTER ESTIMATION IN POSITRON EMISSION TOMOGRAPHY - The present disclosure relates to an apparatus for estimating scatter in positron emission tomography, comprising processing circuitry configured to acquire an emission map and an attenuation map, each representing an initial image reconstruction of a positron emission tomography scan, calculate, using a radiative transfer equation (RTE) method, a scatter source map of a subject of the positron emission tomography scan based on the emission map and the attenuation map, estimate, using the RTE method and based on the emission map, the attenuation map, and the scatter source map, scatter, and perform an iterative image reconstruction of the positron emission tomography scan based on the estimated scatter and raw data from the positron emission tomography scan of the subject. | 2021-10-28 |
20210335024 | NON-TRANSITORY COMPUTER-READABLE RECORDING MEDIUM HAVING STORED THEREIN DISPLAYING PROGRAM, METHOD FOR DISPLAYING, AND INFORMATION PROCESSING APPARATUS - A non-transitory computer-readable recording medium having stored therein a displaying program for causing a computer to execute a process including; accepting production plans of a plurality of items; determining whether the plurality of accepted items are produced simultaneously or sequentially; when the plurality of items are determined to be produced simultaneously or sequentially, displaying a display component representing a material common to the plurality of items such that the display component indicates a time period containing the production plans of the plurality of items, and displaying display components associated with each of the plurality of items in a time period in which the display component representing the material is arranged. | 2021-10-28 |
20210335025 | DATA PROCESSING METHOD AND APPARATUS, ELECTRONIC DEVICE, AND STORAGE MEDIUM - A data processing method is provided. In the method, a historical walk vertex adjacent to a target walk vertex is determined. An edge transition probability between the target walk vertex and each of a set of next possible vertexes in a first out-neighbor set is determined according to first out-edge information. A to-be-reached vertex of the set of next possible vertexes in the first out-neighbor set is determined according to the edge transition probabilities. Second out-edge information corresponding to the target walk vertex is generated based on the first out-neighbor set. Walking from the target walk vertex to the to-be-reached vertex is performed. The second out-edge information is transmitted to the to-be-reached vertex. Further, a random walk sequence corresponding to the target walk vertex is generated based on a walk quantity corresponding to the target walk vertex reaching a preset threshold for walk steps. | 2021-10-28 |
20210335026 | SHAPE AWARE TRANSFORMATION - Systems and methods for editing an image based on multiple constraints are described. Embodiments of the systems and methods may identify a change to a vector graphics data structure, generate an update for the vector graphics data structure based on strictly enforcing a handle constraint, a binding constraint, and a continuity constraint, adjust the vector graphics data structure sequentially for each of a plurality of sculpting constraints according to a priority ordering of the sculpting constraints, generate an additional update for the vector graphics data structure based on strictly enforcing the binding constraint and the continuity constraint and approximately enforcing the handle constraint and the sculpting constraints, adjust the vector graphics data structure sequentially for each of a plurality of sculpting constraints, and display the vector graphic based on the adjusted vector graphics data structure. | 2021-10-28 |
20210335027 | SYSTEMS AND METHODS FOR AUTHORING CROSS-BROWSER HTML 5 MOTION PATH ANIMATION - The present disclosure provides systems and methods for implementations of motion paths via pure CSS3 and HTML5, working in all major browsers and requiring no JavaScript. For each motion path degree of freedom (e.g., x translation), the system may insert an additional element into the document object model (DOM) to host its animation. In some implementations, the system may apply an optimization process to fit CSS3 keyframes rules that approximate the ideal motion path trajectory to a predetermined tolerance while minimizing the storage footprint. In addition to supporting CSS3 motion paths, this authoring model retains the ability to supply arbitrary standard CSS3 animations to transform channels, which allows users to, e.g., animate the scale and rotation of an element independent of its progress along a motion path. | 2021-10-28 |