29th week of 2022 patent applcation highlights part 48 |
Patent application number | Title | Published |
20220230266 | IMAGE MANAGEMENT METHOD AND DATA STRUCTURE OF METADATA - The present technology relates to an image management method and a data structure of metadata that allow for management of an image captured by an artificial satellite. A management device that manages a captured image captured by a satellite adds metadata that includes at least information regarding a person related to the captured image to the captured image. The present technology can be applied to, for example, artificial satellites that perform satellite remote sensing by a formation flight. | 2022-07-21 |
20220230267 | IMAGE PROCESSING METHOD AND APPARATUS BASED ON VIDEO CONFERENCE - Provided are an image processing method and apparatus based on a video conference. The image processing method includes: obtaining an image transmitted by an image acquisition terminal; obtaining identity information of a participant; adding the obtained identity information to the image in the form of a watermark to form a watermarked image; and outputting the watermarked image. | 2022-07-21 |
20220230268 | ADVANCED ARTIFICIAL INTELLIGENCE AGENT FOR MODELING PHYSICAL INTERACTIONS - Described herein are advanced artificial intelligence agents for modeling physical interactions. In one embodiment, an apparatus to provide an active artificial intelligence (AI) agent includes at least one database to store physical interaction data and compute cluster coupled to the at least one database. The compute cluster automatically obtains physical interaction data from a data collection module without manual interaction, stores the physical interaction data in the at least one database, and automatically trains diverse sets of machine learning program units to simulate physical interactions with each individual program unit having a different model based on the applied physical interaction data. | 2022-07-21 |
20220230269 | HANDLING PIPELINE SUBMISSIONS ACROSS MANY COMPUTE UNITS - One embodiment provides an apparatus comprising an interconnect fabric comprising one or more fabric switches, a plurality of memory interfaces coupled to the interconnect fabric to provide access to a plurality of memory devices, an input/output (IO) interface coupled to the interconnect fabric to provide access to IO devices, an array of multiprocessors coupled to the interconnect fabric, scheduling circuitry to distribute a plurality of thread groups across the array of multiprocessors, each thread group comprising a plurality of threads and each thread comprising a plurality of instructions to be executed by at least one of the multiprocessors, and a first multiprocessor of the array of multiprocessors to be assigned to process a first thread group comprising a first plurality of threads, the first multiprocessor comprising a plurality of parallel execution circuits. | 2022-07-21 |
20220230270 | METHOD AND APPARATUS FOR COMPRESSION OF GRAPHICS PROCESSING COMMANDS - Embodiments are generally directed to methods and apparatuses for compression of graphics processing commands. An embodiment of a method for data processing comprising: capturing a first graphics processing command including vertex data; constructing a data array having a plurality of data vectors from the vertex data; determining whether the data array is of a specific data type; in response to the data array being of the specific data type, determining whether a semantic property of the data array is color; and in response to the semantic property being color, determining a plurality of representative data vectors that are different from each other in the plurality of data vectors; constructing a palette array having a plurality of palette vectors each containing data elements of a corresponding one of the plurality of representative data vectors and a palette vector identifier; and generating a modified first graphics processing command by replacing the data array with the palette array and a sequence of palette vector identifiers. | 2022-07-21 |
20220230271 | FULL SCREEN PROCESSING IN MULTI-APPLICATION ENVIRONMENTS - Systems and methods for determining a foreground application and at least one background application from multiple graphics applications executing within an execution environment are disclosed. Pixel data rendered by the foreground application may be displayed in the execution environment while a rendering thread of the background application may be paused. | 2022-07-21 |
20220230272 | FULL SCREEN PROCESSING IN MULTI-APPLICATION ENVIRONMENTS - Systems and methods for determining a foreground application and at least one background application from multiple graphics applications executing within an execution environment are disclosed. Pixel data rendered by the foreground application may be displayed in the execution environment while a rendering thread of the background application may be paused. | 2022-07-21 |
20220230273 | METHOD FOR CALCULATING IMAGE HIGHLIGHT REFLECTION SEPARATION BASED ON POLARIZATION GUIDANCE - The embodiments of the present disclosure disclose method for calculating image highlight reflection separation. A specific implementation of the method includes: controlling a polarized color sensor to shoot a polarized color image, and calculating a polarized chromaticity image; clustering the pixels of diffuse reflection components whose chromaticity difference is within a preset range, to obtain a pixel sequence set; using a robust principal component analysis algorithm for each pixel, to obtain an initial separation result; further processing the polarized color image for highlight reflection separation, to obtain a highlight reflection separation result, and generating a diffuse reflection image. This implementation can achieve highlight reflection separation for images without being affected by the lighting information, and obtain a highlight reflection separation result with higher accuracy through the color and polarization information. | 2022-07-21 |
20220230274 | METHOD AND SYSTEM FOR DISPLAYING A VIDEO POSTER BASED ON ARTIFICIAL INTELLIGENCE - A method for displaying a video poster based on artificial intelligence is provided. The method includes obtaining a target video and at least one poster according to a user input, calculating a matching degree of an image description text of the at least one poster and a description text keyword of the target video, and sorting the at least one poster according to the matching degree in an order from high to low, to obtain a sorted poster sequence; performing element separation on one of the at least one poster with a highest matching degree in the poster sequence to obtain a main body element and a background element; and processing the main body element, the background element and title information of the target video according to requirements of a target scene to synthesize a new poster. | 2022-07-21 |
20220230275 | IMAGING SYSTEM, IMAGE PROCESSING APPARATUS, IMAGING DEVICE, AND RECORDING MEDIUM - An imaging system includes a plurality of imaging devices facing different directions and an output unit configured to output an output image generated based on the captured images. The plurality of imaging devices is configured to capture images. The output image having been generated based on the captured images covers a range of 360 degrees in at least a first direction. In the output image, an area where a subject is reflected in the captured images is placed at a predetermined position so as to prevent the area from being cut off at the edges of the output image. | 2022-07-21 |
20220230276 | Generative Adversarial Networks with Temporal and Spatial Discriminators for Efficient Video Generation - The present disclosure proposes the use of a dual discriminator network that comprises a temporal discriminator network for discriminating based on temporal features of a series of images and a spatial discriminator network for discriminating based on spatial features of individual images. The training methods described herein provide improvements in computational efficiency. This is achieved by applying the spatial discriminator network to a set of one or more images that have reduced temporal resolution and applying the temporal discriminator network to a set of images that have reduced spatial resolution. This allows each of the discriminator networks to be applied more efficiently in order to produce a discriminator score for use in training the generator, whilst maintaining accuracy of the discriminator network. In addition, this allows a generator network to be trained to more accurately generate sequences of images, through the use of the improved discriminator. | 2022-07-21 |
20220230277 | REMOTE DISTRIBUTION OF NEURAL NETWORKS - Remote distribution of multiple neural network models to various client devices over a network can be implemented by identifying a native neural network and remotely converting the native neural network to a target neural network based on a given client device operating environment. The native neural network can be configured for execution using efficient parameters, and the target neural network can use less efficient but more precise parameters. | 2022-07-21 |
20220230278 | CT SUPER-RESOLUTION GAN CONSTRAINED BY THE IDENTICAL, RESIDUAL AND CYCLE LEARNING ENSEMBLE (GAN-CIRCLE) - A system for generating a high resolution (HR) computed tomography (CT) image from a low resolution (LR) CT image is described. The system includes a first generative adversarial network (GAN) and a second GAN. The first GAN includes a first generative neural network (G) configured to receive a training LR image dataset and to generate a corresponding estimated HR image dataset, and a first discriminative neural network (D | 2022-07-21 |
20220230279 | OPTICAL INFORMATION READING DEVICE - To improve reading accuracy by enabling a read image to be restored by machine learning while reducing a calculation load in an optical information reading device. An optical information reading device includes: a storage part that stores a structure and a parameter of a neural network generated in advance by machine learning of a plurality of defective images and a plurality of ideal images; a processor that attempts restoration by inputting a read image to the neural network configured using the structure and parameter stored in the storage part and executes decoding processing on the restored read image; and a housing that accommodates a camera, the storage part, and the processor. | 2022-07-21 |
20220230280 | TEMPORAL DE-NOISING - Methods, systems, devices and computer software/program code products enable generating reduced-noise image frames based on image frames received from a digital camera pipeline; and enable efficient stereo image search between corresponding images generated by at least two cameras. | 2022-07-21 |
20220230281 | Pattern Measurement System, Pattern Measurement Method, and Program - Proposed is a technique that can detect a random noise component at high accuracy without measurement pattern limitation and enables edge roughness measurement at higher accuracy. According to this disclosure, pattern matching and edge position correction are performed with respect to each of the left edge and the right edge of a line pattern in an obtained line pattern image, and an image with no roughness is generated. A PSD value is measured from the image, and the average PSD value of all the frequencies is determined as a random noise component, so that the random noise component can be detected at high accuracy. Further, the PSD value (random noise component) is subtracted from the PSD value of an original image, thereby measuring edge roughness at high accuracy. | 2022-07-21 |
20220230282 | IMAGE PROCESSING METHOD, IMAGE PROCESSING APPARATUS, ELECTRONIC DEVICE AND COMPUTER-READABLE STORAGE MEDIUM - An image processing method, an image processing apparatus, an electronic device, and a computer-readable storage medium, relating to the technical field of image processing are provided. The image processing method may include performing blur classification on pixels of an image to obtain a classification mask image; and determining a blurred area of the image based on the classification mask image. | 2022-07-21 |
20220230283 | METHOD AND DEVICE FOR PROCESSING IMAGE, AND STORAGE MEDIUM - An image processing method, a device and a non-transitory computer-readable storage medium thereof are provided. The method includes that a first image of a target object, a second image of the target object, and a third image of the target object are acquired. Exposure of the first image is less than exposure of the second image. The exposure of the second image is less than exposure of the third image. Further, brightness of the first image is increased to acquire a fourth image. Moreover, ghost elimination is performed on the second image and the fourth image is taken as a first reference frame to acquire a second reference frame. Furthermore, ghost elimination is performed on the third image based on the second reference frame to acquire a fifth image. | 2022-07-21 |
20220230284 | EYEWEAR DISTORTION CORRECTION - Systems, methods, and non-transitory computer readable mediums including processes to correct for distortion in images introduced by eyewear (i.e., where the facial region surrounding the eye has a boundary that doesn't match the boundary of an uncovered facial region). The correction includes segmenting images to detect eyewear covered facial regions and facial regions not covered by the eyewear and altering the covered facial regions to match the covered facial boundary to the uncovered facial boundary. Alterations include processing using a machine learning model, applying anti-refraction algorithms, scaling the covered facial region to match boundaries of the uncovered facial region, or a combination thereof. | 2022-07-21 |
20220230285 | IMAGING METHOD WITH IMPROVED IMAGE QUALITY - A vessel image, which maps a vessel structure, and a device image, which maps a device, are created. A processor, depending on the device image and the vessel image, creates an overlaying image. At least one filter algorithm is applied to the device image, creating a filtered device image. The overlaying image is created by overlaying of the vessel image with the filtered device image. | 2022-07-21 |
20220230286 | IMAGING WITH ASYMMETRICAL CONTRAST AMPLIFICATION - In an imaging method an image is generated by an imaging device that includes a vessel structure of an object to be imaged and/or a device arranged in the object. A local asymmetrical contrast amplification algorithm is applied to the image to generate a filtered image that is displayed by a display device. | 2022-07-21 |
20220230287 | INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING SYSTEM, INFORMATION PROCESSING METHOD, AND NON-TRANSITORY STORAGE MEDIUM - The first processor is configured to acquire captured images that have been captured by plural vehicles and that each of the captured images satisfies plural predetermined conditions including an image capture freshness condition, an image capture condition, and a moving body condition relating to a moving body in the captured image, and also acquire vehicle information including position information corresponding to the respective captured images, and to detect the moving body present in one of the captured images. Then, based on the captured images and the vehicle information, the first processor is configured to, from other of the acquired captured images corresponding to an image capture position of the one captured image in which the moving body has been detected, select another of the captured images having a predetermined similarity level or higher to the one captured image, and to remove the detected moving body from the one captured image, extract an image corresponding to a removed region from the selected other captured image, and merge these images. | 2022-07-21 |
20220230288 | METHOD AND SYSTEM FOR COMPUTER-AIDED ANEURYSM TRIAGE - A system for computer-aided triage includes and/or interfaces with a computing system. A method for computer-aided triage includes receiving a data packet including a set of images; and processing the set of images to determine a suspected condition and/or associated features. Additionally or alternatively, the method can include any or all of: preprocessing the set of images; triggering an action based on the suspected condition and/or associated features; determining a recipient based on the suspected condition; preparing a data packet for transfer; transmitting information to a device associated with the recipient; receiving an input from the recipient and triggering an action based on the input; aggregating data; and/or any other suitable processes. | 2022-07-21 |
20220230289 | INSPECTION METHOD AND INSPECTION APPARATUS - According to one embodiment, there is provided an inspection method that includes determining, as a reference blur component, the magnitude of the blur component of a predetermined range, the predetermined range being a range where a number of first inspection images among the plurality of inspection images falling within the predetermined range is the largest among a plurality of ranges. The inspection method includes correcting, based on the reference blur component, a second inspection image among the plurality of inspection images having the magnitude of the blur component falling outside the predetermined range. The inspection method includes comparing the first inspection image and the corrected second inspection image with a reference image, the first inspection image having the magnitude of the blur component falling within the predetermined range, the reference image being generated in advance for the measurement object. | 2022-07-21 |
20220230290 | REINFORCED CONCRETE STRUCTURE EVALUATING DEVICE, METHOD, AND PROGRAM - An acquisition section ( | 2022-07-21 |
20220230291 | METHOD FOR DETECTING DEFECTS IN IMAGES, APPARATUS APPLYING METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM APPLYING METHOD - A method for detecting defects in products revealed by images of the products inputs images of the flaw-free products into an autoencoder for model training to obtain reconstructed images. The images are further processed to obtain target images. A group of testing errors are obtained by comparing the reconstructed images and the target images. An error threshold is selected from the group of the testing errors according to a specified rule. A to-be-analyzed image is inputted for obtaining a candidate be-analyzed reconstructed image, a candidate be-analyzed target image, and a potential be-analyzed error between the candidate be-analyzed reconstructed image and the candidate be-analyzed target image. A result of the to-be-analyzed image confirms defects existing or defects not existing according to the potential be-analyzed error and the error threshold. A defect detection apparatus, an electronic device, and a non-transitory computer-readable storage medium applying the method are also disclosed. | 2022-07-21 |
20220230292 | MACHINE LEARNING AND COMPUTER VISION BASED 3D PRINTER MONITORING SYSTEMS AND RELATED METHODS - Machine learning and computer vision based systems and methods for three-dimensional (3D) printer monitoring are described herein. An example method includes receiving an image of an object during a 3D printing process; determining a printing property associated with the object based upon the image of the object; inputting the printing property associated with the object into a machine learning module; and predicting, using the machine learning module, a 3D printing error. | 2022-07-21 |
20220230293 | METHOD AND SYSTEM FOR MIXED MODE WAFER INSPECTION - Mixed-mode includes receiving inspection results including one or more images of a selected region of the wafer, the one or more images include one or more wafer die including a set of repeating blocks, the set of repeating blocks a set of repeating cells. In addition, mixed-mode inspection includes adjusting a pixel size of the one or more images to map each cell, block and die to an integer number of pixels. Further, mixed-mode inspection includes comparing a first wafer die to a second wafer die to identify an occurrence of one or more defects in the first or second wafer die, comparing a first block to a second block to identify an occurrence of one or more defects in the first or second blocks and comparing a first cell to a second cell to identify an occurrence of one or more defects in the first or second cells. | 2022-07-21 |
20220230294 | SYSTEM AND METHOD FOR AUTOMATED GRAIN INSPECTION DURING HARVEST - A system and method for automated grain inspection and analysis of results during harvest, using an inspection system mounted on a combine harvester with geolocation tracking, allowing for real time analysis during harvest and tracking of grain quality by location of harvest. | 2022-07-21 |
20220230295 | Image Taking Method, Image Analysis Method, Method For Training An Image Analysis Neural Network, And Image Analysis Neural Network - The invention is an image taking method comprising: taking images with a microscope in an analyzing space ( | 2022-07-21 |
20220230296 | ELECTRONIC APPARATUS AND CONTROL METHOD THEREOF - An electronic apparatus includes a memory configured to store a plurality of images; and a processor configured to identify qualities of the plurality of images, process the plurality of images using at least one artificial intelligence model corresponding to the identified qualities, and obtain a graphic image including the processed plurality of images, and the at least one artificial intelligence model is trained to increase a quality of an input image. | 2022-07-21 |
20220230297 | EVALUATION APPARATUS, EVALUATION METHOD, AND NON-TRANSITORY STORAGE MEDIUM - An evaluation apparatus ( | 2022-07-21 |
20220230298 | DETERMINATION SYSTEM FOR ACHIEVEMENT DEGREE OF PROCESS, MEASUREMENT DEVICE, AND INFORMATION PROCESSING DEVICE - A determination system includes: a measurement unit configured to measure color information on a surface of an indicator having a discoloration area in which a color changes according to an achievement degree of a predetermined process; a determination unit configured to determine an initial defect in the indicator or the achievement degree of the predetermined process based on the color information of the discoloration area measured by the measurement unit; a storage unit configured to store a control parameter corresponding to a type of the indicator; and a processing unit configured to perform processing of setting the control parameter in the storage unit. The measurement unit is further configured to measure the color information of the discoloration area of the indicator based on the control parameter, stored in the storage unit, that corresponds to the type of the indicator to be measured. | 2022-07-21 |
20220230299 | PARTITIONING OF PORES AND THROATS IN 2D AND 3D DIGITAL TOMOGRAPHIC REPRESENTATIONS - A system and method to partition pores and throats in 2D or 3D scanned tomographic representations. To achieve partitioning, the methods employ a series of techniques that include the Maximum Inscribed Ball technique, Connected Component Labelling technique, and the 3D Binary Morphology technique. | 2022-07-21 |
20220230300 | Using Deep Learning to Process Images of the Eye to Predict Visual Acuity - Systems and methods disclosed herein relate to using a machine-learning model to process an input of a subject's eye and to predict a current or future visual acuity of the subject. The subject may have been diagnosed with age-related macular degeneration. The predicted current or future visual acuity may be used to (for example) facilitate diagnosing the subject (e.g., with a particular type of age-related macular degeneration), facilitate identifying a treatment strategy for the subject, and/or facilitate designing a clinical study. | 2022-07-21 |
20220230301 | Manufacturing Method And Image Processing Method and System For Quality Inspection Of Objects Of A Manufacturing Method - An automated method for manufacturing objects, the method using an image capturing device and a data processing device for quality inspection, wherein the method includes a learning phase and a manufacturing phase for manufacturing the objects, wherein the learning phase comprises producing N objects considered to be acceptable; taking at least one reference primary image of each of the N objects; dividing each reference primary image into (P | 2022-07-21 |
20220230302 | THREE-DIMENSIONAL AUTOMATIC LOCATION SYSTEM FOR EPILEPTOGENIC FOCUS BASED ON DEEP LEARNING - The present disclosure discloses a three-dimensional automatic location system for an epileptogenic focus based on deep learning. The system includes: a PET image acquisition and labelling module; a registration module mapping PET image to standard symmetrical brain template; a PET image preprocessing module generating mirror image pairs of left and right brain image blocks; a network SiameseNet training module containing two deep residual convolutional neural networks which share weight parameters, an output layer connecting a multilayer perceptron and a softmax layer, and using a training set of an epileptogenic focus image and an normal image to train the network to obtain a network model; a classification module and epileptogenic focus location module, using the trained network model to generate a probabilistic heatmap for the newly input PET image, a classifier determining whether the image is normal or epileptogenic focus sample, and then predicting a position for the epileptogenic focus region. | 2022-07-21 |
20220230303 | METHODS AND APPARATUSES FOR GENERATING ANATOMICAL MODELS USING DIAGNOSTIC IMAGES - A diagnostic imaging process and system may operate to generate a three-dimensional anatomical model based on monocular color endoscopic images. In one example, an apparatus may include a processor and a memory coupled to processor. The memory may include instructions that, when executed by the processor, may cause the processor to access a plurality of endoscopic training images comprising a plurality of synthetic images and a plurality of real images, access a plurality of depth ground truths associated with the plurality of synthetic images, perform supervised training of at least one computational model using the plurality of synthetic images and the plurality of depth ground truths to generate a synthetic encoder, and perform domain adversarial training on the synthetic encoder using the real images to generate a real image encoder for the at least one computational model. Other embodiments are described. | 2022-07-21 |
20220230304 | METHOD, COMPUTER PROGRAM PRODUCT AND COMPUTER SYSTEM FOR PROVIDING AN APPROXIMATE IMAGE - An approximate image of a patient can be provided by the following method:
| 2022-07-21 |
20220230305 | SYSTEM AND METHOD FOR PLANT DISEASE DETECTION SUPPORT - A computer-implemented method, computer program product and computer system ( | 2022-07-21 |
20220230306 | SYSTEM AND METHOD FOR RECONSTRUCTING MORPHOLOGY AND DYNAMICS OF BIOLOGICAL CELLS FROM HOLOGRAPHIC IMAGES - A reconstruction system is presented for reconstructing morphology of biological cells. The system includes data input and output utilities, memory, and a data processor, and is configured for data communication with an image data provider to receive raw image data comprising a sequence of image frames acquired from the cell during a movement of the cell and being indicative of optical path delay (OPD) of light propagation through the biological cell. The data processor is configured and operable to process the raw image data and determine 3D dynamic morphological data of the cell. The data processor includes: a modeling utility; a position recovery module; and an analyzer module. | 2022-07-21 |
20220230307 | IMAGE PROCESSING METHOD, IMAGE PROCESSING DEVICE, IMAGE PROCESSING PROGRAM - An image processing method includes acquiring a first direction fundus image imaged in a state in which an examined eye is directed in a first direction, and a second direction fundus image imaged in a state in which the examined eye is directed in a second direction different to the first direction, generating a combined image for analyzing a fundus-peripheral portion of the examined eye by combining the first direction fundus image and the second direction fundus image, and outputting the combined image. | 2022-07-21 |
20220230308 | BIOIMAGE ACQUIRING DEVICE, CONVERTER GENERATING DEVICE, BIOIMAGE GENERATING METHOD, CONVERTER GENERATING METHOD, AND RECORDING MEDIUM - A bioimage acquiring device includes a first conversion unit that performs a first conversion process wherein a negative bioimage is converted using a first converter so as to acquire a converted bioimage which is the result of the conversion, and a classifying unit that performs a first classifying process wherein a determination is made as to whether the converted bioimage is a positive bioimage or a negative bioimage, using a classifier for determining whether an image is a negative bioimage or a positive bioimage, wherein the first conversion unit performs a learning process using the determination result obtained by the classifying unit and the converted bioimage, performs an update process for updating the first converter, and receives a new negative bioimage, and the first conversion unit converts the new negative bioimage using the updated first converter to acquire a converted bioimage which is the result of the conversion. | 2022-07-21 |
20220230309 | OPERATING METHOD OF MEDICAL IMAGING SYSTEM AND MEDICAL IMAGING SYSTEM - Provided in the present application are an operating method of a medical imaging system and a medical imaging system. The operating method of the medical imaging system includes performing exposure setting of a next object during image processing of medical image data of a current object. | 2022-07-21 |
20220230310 | THREE-DIMENSIONAL OBJECT SEGMENTATION OF MEDICAL IMAGES LOCALIZED WITH OBJECT DETECTION - The present disclosure relates to techniques for segmenting objects within medical images using a deep learning network that is localized with object detection based on a derived contrast mechanism. Particularly, aspects are directed to localizing an object of interest within a first medical image having a first characteristic, projecting a bounding box or segmentation mask of the object of interest onto a second medical image having a second characteristic to define a portion of the second medical image, and inputting the portion of the second medical image into a deep learning model that is constructed as a detector using a weighted loss function capable of segmenting the portion of the second medical image and generating a segmentation boundary around the object of interest. The segmentation boundary may be used to calculate a volume of the object of interest for determining a diagnosis and/or a prognosis of a subject. | 2022-07-21 |
20220230311 | ENDOSCOPIC IMAGE PROCESSING METHOD AND APPARATUS, ELECTRONIC DEVICE, AND STORAGE MEDIUM - This application provides an endoscopic image processing method and apparatus, an electronic device, and a storage medium. The method includes: obtaining an endoscopic video stream, the endoscopic video stream including an original endoscopic image; detecting the original endoscopic image in a corresponding video frame through a first thread, and transmitting a detection result of the original endoscopic image to an integration module; forming a control instruction through the integration module according to the detection result; and adjusting, in response to the control instruction and through a second thread, an output result in the second thread, the output result corresponding to a use environment of the endoscopic video stream, the first thread and the second thread being parallel threads. | 2022-07-21 |
20220230312 | SYSTEMS AND METHODS FOR PROCESSING ELECTRONIC IMAGES TO PREDICT LESIONS - Systems and methods are disclosed for predicting the location, onset, or change of coronary lesions from factors like vessel geometry, physiology, and hemodynamics. One method includes: acquiring, for each of a plurality of individuals, a geometric model, blood flow characteristics, and plaque information for part of the individual's vascular system; training a machine learning algorithm based on the geometric models and blood flow characteristics for each of the plurality of individuals, and features predictive of the presence of plaque within the geometric models and blood flow characteristics of the plurality of individuals; acquiring, for a patient, a geometric model and blood flow characteristics for part of the patient's vascular system; and executing the machine learning algorithm on the patient's geometric model and blood flow characteristics to determine, based on the predictive features, plaque information of the patient for at least one point in the patient's geometric model. | 2022-07-21 |
20220230313 | SYSTEMS, DEVICES, AND METHODS FOR DETECTING FERTILITY AND GENDER OF UNHATCHED EGGS - Disclosed are systems, devices, and methods for detecting characteristics of an unhatched egg. A set of images of an unhatched egg are obtained, where each of the spectral images is obtained in a particular wavelength range. The set of images is processed to extract image features, where the image features includes an image texture feature. The extracted image features are processed to classify the unhatched egg according to at least one characteristic. The at least one characteristic may include fertility and/or gender. | 2022-07-21 |
20220230314 | INTELLIGENT PATTERN RECOGNITION SYSTEMS FOR WIRE BONDING AND OTHER ELECTRONIC COMPONENT PACKAGING EQUIPMENT, AND RELATED METHODS - A method of operating a pattern recognition system of an electronic device packaging machine is provided. The method includes the steps of: (a) imaging a portion of a workpiece on an electronic device packaging machine using an image acquisition recipe; (b) utilizing a pattern recognition recipe in connection with an image from step (a) to determine if an acceptable level of matching occurs; and (c) automatically varying at least one parameter of at least one of (i) the image acquisition recipe and (ii) the pattern recognition recipe if the acceptable level of matching does not occur in step (b). | 2022-07-21 |
20220230315 | MAGNETIC-RESONANCE-BASED METHOD FOR MEASURING MICROSCOPIC HISTOLOGIC SOFT TISSUE TEXTURES - A method for measuring soft tissue texture to identify diseased as opposed to normal tissue by identifying textural markers that distinguish diseased tissue from normal tissue and selecting a MRμT excitation sequence and associated parameters to reveal those markers. Data is then acquired in an MR scanner responsive to the selected MRμT excitation sequence to establish a multipoint time series data set. The acquired data is then analyzed for presence of the markers. | 2022-07-21 |
20220230316 | IMAGE DIAGNOSTIC SYSTEM, AND METHODS OF OPERATING THEREOF - Various image diagnostic systems, and methods of operating thereof, are disclosed herein. Example embodiments relate to operating the image diagnostic system to identify one or more tissue types within an image patch according to a hierarchical histological taxonomy, identifying an image patch associated with normal tissue, generating a pixel-level segmented image patch for an image patch, generating an encoded image patch for an image patch of at least one tissue, searching for one or more histopathological images, and assigning an image patch to one or more pathological cases. | 2022-07-21 |
20220230317 | Spectral Unmixing of Fluorescence Imaging Using Radiofrequency-Multiplexed Excitation Data - Disclosed herein include embodiments of a system, a device, and a method for sorting a plurality cells of a sample. A plurality of raw images comprising pixels of complex values in a frequency space can be generated from a plurality of channels of fluorescence intensity data of fluorescence emissions of fluorophores, the fluorescence emissions being elicited by fluorescence imaging using radiofrequency-multiplexed excitation in a temporal space. Spectral unmixing can be performed on the raw images prior to a sorting decision being made. | 2022-07-21 |
20220230318 | NON-RESPIRATORY BODY MOVEMENT DETECTION IN RESPIRATORY TRIGGERING - A medical imaging method for detecting a movement and a magnetic resonance imaging system, wherein the method includes: receiving, through a plurality of channels, a plurality of original first time domain signals recording a movement of an object under examination; transforming, based on a plurality of respiratory frequency components as bases, the plurality of first time domain signals into a vector matrix including representations of phases; computing an eigenvector based on the vector matrix; transforming the first time domain signals into second time domain signals based on the eigenvector, and removing a maximum energy term related to a respiratory movement from the second time domain signals; and determining whether a portion of a non-respiratory body movement is detected, and determining to execute a sequence based on only a first time domain signal in which a portion of a non-respiratory body movement is not detected. | 2022-07-21 |
20220230319 | SYSTEM AND METHOD FOR TRAINING A MACHINE LEARNING MODEL AND FOR PROVIDING AN ESTIMATED INTERIOR IMAGE OF A PATIENT - A deep learning model may be trained to provide an estimated image of the interior of a patient, based on a number of image sets, each image set comprising an interior image of the interior of a person and a contour image of the person's outer contour at a specific point in time. The model is trained to establish an optimized parametrized conversion function G specifying the correlation between the interior of the person and the persons outer contour based on the image sets. The conversion function G can then be used to provide estimated images of patient's interior based on their contours. | 2022-07-21 |
20220230320 | AUTONOMOUS SEGMENTATION OF CONTRAST FILLED CORONARY ARTERY VESSELS ON COMPUTED TOMOGRAPHY IMAGES - A computer-implemented method for autonomous segmentation of contrast-filled coronary artery vessels includes receiving a CT scan volume representing a 3D volume of a region of anatomy that includes a pericardium; preprocessing the CT scan volume to output a preprocessed scan volume; dividing the CT scan volume into a first set of subvolumes; extracting a region of interest by autonomous segmentation of the heart region as outlined by the pericardium, by means of a neural network trained on 3D subvolumes and combining the results of the individual subvolume predictions for the first set to output a mask denoting a heart region as delineated by the pericardium; combining the preprocessed scan volume with the mask to obtain a masked volume; converting the masked volume to a second set of 3D subvolumes; and performing autonomous coronary vessel segmentation to output a mask denoting the coronary vessels. | 2022-07-21 |
20220230321 | GENERATING CLASS-AGNOSTIC OBJECT MASKS IN DIGITAL IMAGES - The present disclosure relates to a class-agnostic object segmentation system that automatically detects, segments, and selects objects within digital images irrespective of object semantic classifications. For example, the object segmentation system utilizes a class-agnostic object segmentation neural network to segment each pixel in a digital image into an object mask. Further, in response to detecting a selection request of a target object, the object segmentation system utilizes a corresponding object mask to automatically select the target object within the digital image. In some implementations, the object segmentation system utilizes a class-agnostic object segmentation neural network to detect and automatically select a partial object in the digital image in response to a target object selection request. | 2022-07-21 |
20220230322 | DEPTH-AWARE METHOD FOR MIRROR SEGMENTATION - The invention belongs to scene segmentation's field in computer vision and is a depth-aware method for mirror segmentation. PDNet successively includes a multi-layer feature extractor, a positioning module, and a delineating module. The multi-layer feature extractor uses a traditional feature extraction network to obtain contextual features; the positioning module combines RGB feature information with depth feature information to initially determine the position of the mirror in the image; the delineating module is based on the image RGB feature information, combined with depth information to adjust and determine the boundary of the mirror. This method is the first method that uses both RGB image and depth image to achieve mirror segmentation in an image. The present invention has also been further tested. For mirrors with a large area in a complex environment, the PDNet segmentation results are still excellent, and the results at the boundary of the mirrors are also satisfactory. | 2022-07-21 |
20220230323 | Automatically Segmenting and Adjusting Images - A device automatically segments an image into different regions and automatically adjusts perceived exposure-levels or other characteristics associated with each of the different regions, to produce pictures that exceed expectations for the type of optics and camera equipment being used and in some cases, the pictures even resemble other high-quality photography created using professional equipment and photo editing software. A machine-learned model is trained to automatically segment an image into distinct regions. The model outputs one or more masks that define the distinct regions. The mask(s) are refined using a guided filter or other technique to ensure that edges of the mask(s) conform to edges of objects depicted in the image. By applying the mask(s) to the image, the device can individually adjust respective characteristics of each of the different regions to produce a higher-quality picture of a scene. | 2022-07-21 |
20220230324 | CAMOUFLAGED OBJECT SEGMENTATION METHOD WITH DISTRACTION MINING - A method for segmenting a camouflaged object image based on distraction mining is disclosed. PFNet successively includes a multi-layer feature extractor, a positioning module, and a focusing module. The multi-layer feature extractor uses a traditional feature extraction network to obtain different levels of contextual features; the positioning module first uses RGB feature information to initially determine the position of the camouflaged object in the image; the focusing module mines the information and removes the distraction information based on the image RGB feature information and preliminary position information, and finally determines the boundary of the camouflaged object step by step. The method of the present invention introduces the concept of distraction information into the problem of segmentation of the camouflaged object and develops a new information exploration and distraction information removal strategy to help the segmentation of the camouflaged object image. | 2022-07-21 |
20220230325 | COMPUTER BASED METHOD FOR CLASSIFYING A MASS OF AN ORGAN AS A CYST - A computer based method for classifying a mass of an organ such as a cyst is provided. The computer based method provides a class indicating a presence of a serum and a solid in the cyst and a subclass indicating a presence of one or more serous loculi or one or more solid. loculi in the cyst. The computer based method is advantageous applications for a diagnosis of ovarian cysts. | 2022-07-21 |
20220230326 | 3D MODELING METHOD FOR CEMENTING HYDRATE SEDIMENT BASED ON CT IMAGE - The present invention belongs to the technical field of petroleum exploitation engineering, and discloses a 3D modeling method for cementing hydrate sediment based on a CT image. Indoor remolding rock cores or in situ site rock cores without hydrate can be scanned by CT; a sediment matrix image stack and a pore image stack are obtained by gray threshold segmentation; then, a series of cementing hydrate image stacks with different saturations are constructed through image morphological processing of the sediment matrix image stack such as dilation, erosion and image subtraction operation; and a series of digital rock core image stacks of the cementing hydrate sediment with different saturations are formed through image subtraction operation and splicing operation to provide a relatively real 3D model for the numerical simulation work of the basic physical properties of a reservoir of natural gas hydrate. | 2022-07-21 |
20220230327 | GRAPHICS PROCESSING SYSTEMS - A graphics processing system and method of operating a graphics processing system that generates “spacewarped” frames for display is disclosed. Motion vectors are used to determine the motion of objects appearing in rendered application frames. The so-determined motion is then used to generate “spacewarped” versions of the rendered application frames. | 2022-07-21 |
20220230328 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND NON-TRANSITORY STORAGE MEDIUM - An information processing apparatus comprising: an extraction unit configured to extract a predetermined region of an anatomical part from an examination image of a subject; a first feature amount acquisition unit configured to acquire a first feature amount of the predetermined region related to a movement of the anatomical part; a second feature amount acquisition unit configured to acquire a second feature amount of the predetermined region related to the movement; a division unit configured to divide the predetermined region; and an integration unit configured to integrate the first feature amount and the second feature amount based on a result of division by the division unit. | 2022-07-21 |
20220230329 | MOTION VECTOR CALCULATION DEVICE, IMAGING DEVICE, AND MOTION VECTOR CALCULATION METHOD - An optical device acquires event data based on an output of an event sensor detecting a change in luminance of a subject image and maps the event data acquired in a mapping time to generate a frame. The optical device performs control such that the mapping on the event data is overlapped partially in a plurality of the frames and calculates a motion vector based on the plurality of frames in which there is a difference of the mapping time at a start time of the mapping. | 2022-07-21 |
20220230330 | ESTIMATION DEVICE, ESTIMATION METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM - In an estimation device, an acquisition unit acquires a “plurality of images”. The “plurality of images” are images in each of which a “real space” is captured, and have mutually different capture times. The acquisition unit acquires information related to a “capture period length”, which corresponds to a difference between an earliest time and a latest time of the plurality of times that correspond the “plurality of images”, respectively. An estimation unit estimates a position of an “object under estimation” on an “image plane” and a movement velocity of the “object under estimation” in the real space, based on the “plurality of images” and the information related to the “capture period length” acquired. The “image plane” is an image plane of each acquired image. | 2022-07-21 |
20220230331 | METHOD AND ELECTRONIC DEVICE FOR DETERMINING MOTION SALIENCY AND VIDEO PLAYBACK STYLE IN VIDEO - Embodiments of the disclosure disclose a method for applying an effect in a video by an electronic device. The method includes: detecting a first object and a second object in an image frame of the video; determining a type of motion of the first object and the second object in video; determining a speed of the motion of the first object and the second object in the video; determining a first effect to be applied to the first object and a second effect to be applied to the second object based on the type of motion of the first object and the second object and the speed of the motion of the first object and the second object; and applying the first effect to the first object and the second effect to the second object. | 2022-07-21 |
20220230332 | SYSTEMS AND METHODS FOR DETECTING MOTION DURING 3D DATA RECONSTRUCTION - In some aspects, the techniques described herein relate to systems, methods, and computer readable media for detecting movement in a scene. A first temporal pixel image is generated based on a first set of images of a scene over time, and a second temporal pixel image is generated based on a second set of images. One or more derived values are determined based on values of the temporal pixels in the first temporal pixel image, the second temporal pixel image, or both. Correspondence data is determined based on the first temporal pixel image and the second temporal pixel image indicative of a set of correspondences between image points of the first set of images and image points of the second set of images. An indication of whether there is a likelihood of motion in the scene is determined based on the one or more derived values and the correspondence data. | 2022-07-21 |
20220230333 | INFORMATION PROCESSING SYSTEM, INFORMATION PROCESSING METHOD, AND PROGRAM - According to one embodiment, an information processing system includes a processor configured to detect a first object in an image in time-series image data and output object information indicating a detection of the first object. The processor calculates a movement status of one or more pixels included in the image by using a plurality of images in the time-series image data, and then outputs movement information indicating the movement status of the one or more pixels. The processor then detects whether a second object moves in conjunction with the first object based on the object information and the movement information. | 2022-07-21 |
20220230334 | PEN-TYPE MEDICAL FLUORESCENT IMAGING DEVICE AND SYSTEM FOR ALIGNING MULTIPLE FLUORESCENT IMAGES USING THE SAME - The present invention relates to a pen-type medical fluorescent imaging device comprising: a probe which is elongated in the longitudinal direction and has an image capture unit at one end; a plurality of light source units surrounding the image capture unit; and a control unit for controlling the light source units, wherein the light source units comprise: a first light source for emitting light of a first wavelength range so that a blood vessel is marked by a first fluorescent material; and a second light source for emitting light of a second wavelength range so that a glioma is marked by a second fluorescent material, wherein the first and second light sources are selectively controlled by the control unit. | 2022-07-21 |
20220230335 | One-shot high-accuracy geometric modeling of three-dimensional scenes - A method for providing three-dimensional (3-D) digitization of a scene with increased accuracy, speed and detail detection establishing a bijective association of distinguishable plurality of strips projected onto a 3-D scene. | 2022-07-21 |
20220230336 | METHOD AND SYSTEM FOR OPTIMIZING DEPTH IMAGING - There is provided a system and method for optimizing depth imaging. The method including: illuminating one or more scenes with illumination patterns; capturing one or more images of each of the scenes; reconstructing the scenes; estimating the reconstruction error and a gradient of the reconstruction error; iteratively performing until the reconstruction error reaches a predetermined error condition: determining a current set of control vectors and current set of reconstruction parameters; illuminating the one or more scenes with the illumination patterns governed by the current set of control vectors; capturing one or more images of each of the scenes while the scene is being illuminated with at least one of the illumination patterns; reconstructing the scenes from the one or more captured images using the current reconstruction parameters; and estimating an updated reconstruction error and gradient; and outputting at least one of control vectors and reconstruction parameters. | 2022-07-21 |
20220230337 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM - A plurality of images obtained by image capturing by a plurality of cameras and camera parameters are obtained, whether or not an object of interest exists within a depth of field of each camera is determined based on the camera parameters, and processing relating to shape data representing a three-dimensional shape of the object of interest is performed based on an image of the camera for which it has been determined that the object of interest exists within the depth of field. | 2022-07-21 |
20220230338 | DEPTH IMAGE GENERATION METHOD, APPARATUS, AND STORAGE MEDIUM AND ELECTRONIC DEVICE - A depth image generation method, apparatus, and storage medium and electronic device. The method includes: acquiring a plurality of target images; performing multi-stage convolution processing on the plurality of target images through a plurality of convolutional layers in a convolution model to obtain feature map sets respectively outputted by the plurality of convolutional layers; performing view aggregation on a plurality of feature maps in each feature map set respectively to obtain an aggregated feature corresponding to each feature map set; and performing fusion processing on the plurality of obtained aggregated features to obtain a depth image. The plurality of acquired target images are obtained by photographing the target object from different views respectively, so that the plurality of obtained target images include information from different angles, which enriches information content of the acquired target images. | 2022-07-21 |
20220230339 | SYSTEM AND METHOD FOR AUTOMATIC CONTAINER CONFIGURATION USING FIDUCIAL MARKERS - Methods and systems for determining rotation and clipping parameters for images of unit load devices (ULDs) are disclosed herein. An example method includes capturing a set of image data featuring a ULD. The example method may further include locating a fiducial marker proximate to the ULD within the set of image data. The example method may further include cropping the set of image data, based upon the located fiducial marker, to generate a set of marker point data and a set of floor point data. The example method may further include rotating the set of image data based upon the set of marker point data and the set of floor point data, and clipping the rotated set of image data based upon the set of marker point data and the set of floor point data. | 2022-07-21 |
20220230340 | SYSTEM AND METHOD FOR OBJECT RECOGNITION USING 3D MAPPING AND MODELING OF LIGHT - Described herein are a method and a system for object recognition via a computer vision application, where at least one object to be recognized is illuminated by at least one light source having light source specific radiance values, and radiance data of a scene including the object are measured when the scene is illuminated by the light source. | 2022-07-21 |
20220230341 | STEREO DEPTH ESTIMATION - Depth information is extracted from a stereoscopic image pait by an image processing system. For each pixel of a target image of the stereoscopic image pair, a final disparity cost vector is computed having cost components corresponding to different disparities. The final disparity cost vector is stored in association with that pixel. That pixel is assigned the disparity corresponding to the lowest cost component of the final disparity cost vector, wherein the extracted depth information comprises the disparities assigned to the pixels of the target image. For at least a subset of the pixels of the target image, the final disparity cost vector is computed for each of those pixels by computing, with respect to the reference image, a set of matching costs for that pixel and the different disparities, and combining the matching costs with the one or more final disparity cost vectors stored in association with one or more of the adjacent pixels of the target image. | 2022-07-21 |
20220230342 | INFORMATION PROCESSING APPARATUS THAT ESTIMATES OBJECT DEPTH, METHOD THEREFOR, AND STORAGE MEDIUM HOLDING PROGRAM THEREFOR - An information processing apparatus includes an extraction unit configured to extract a region of an object from each of two images captured from two viewpoints, a processing unit configured to process each of the two images based on the region of the object, a detection unit configured to detect correspondence points from the regions of the object in the two images that have been processed by the processing unit, and an estimation unit configured to estimate a depth of the object from the two viewpoints based on locations of the two viewpoints and locations of the correspondence points in the two images. | 2022-07-21 |
20220230343 | STEREO MATCHING METHOD, MODEL TRAINING METHOD, RELEVANT ELECTRONIC DEVICES - A computer-implemented stereo matching method includes: obtaining a first binocular image; inputting the first binocular image into an object model for a first operation to obtain a first initial disparity map and a first offset disparity map with respect to the first initial disparity map; and performing aggregation on the first initial disparity map and the first offset disparity map to obtain a first target disparity map of the first binocular image. The first initial disparity map is obtained through stereo matching on a second binocular image corresponding to the first binocular image, a size of the second binocular image is smaller than a size of the first binocular image, and the first offset disparity map is obtained through stereo matching on the first binocular image within a predetermined disparity offset range. | 2022-07-21 |
20220230344 | RETRIEVING IMAGES THAT CORRESPOND TO A TARGET BODY TYPE AND POSE - Techniques are provided for providing a user with retrieved images of a specific article of clothing or accessory worn by models having a particular body type and pose as selected by the user. The images have been analyzed to identify both a body type and pose of the model wearing the article of clothing in each of the images. The images are labeled based on at least body type and pose of the model and clustered based on their labels, and are thus available for retrieval by subsequent requests by a user. In particular, a user that is interested in the article of clothing can input one or more requests for images of models having a selected body type and pose. Any of the images labeled with the selected body type and pose can then be provided to the user in any number ways. | 2022-07-21 |
20220230345 | IMAGE BASED MEASUREMENT ESTIMATION - Systems and methods for providing measurement estimates for a building feature include receiving an image including the building feature. The method includes receiving, by a server, an image, the captured image including a building feature. The server locates a reference object in the image. The method includes segmenting the building feature to form a segmented image. A measurement of the building feature is estimated based on the segmented image and the reference object. The estimated measurement of the building feature is output by the server. | 2022-07-21 |
20220230346 | IMAGE PROCESSING APPARATUS, MEDICAL IMAGE CAPTURING APPARATUS, IMAGE PROCESSING METHOD, AND STORAGE MEDIUM - An image processing apparatus comprises: a model obtaining unit configured to obtain a learned model that has learned, based on a position of a predetermined feature point, a contour of a target in an image obtained by capturing the target; an image obtaining unit configured to obtain an input image; a position obtaining unit configured to obtain a position of an input point input on the input image by a user; a normalization unit configured to obtain a normalized image generated by coordinate-transforming the input image such that the position of the input point matches the position of the predetermined feature point in the learned model; and an estimation unit configured to estimate the contour of the target in the input image using the normalized image and the learned model. | 2022-07-21 |
20220230347 | POINT CLOUD ANALYSIS DEVICE, ESTIMATION DEVICE, POINT CLOUD ANALYSIS METHOD, AND PROGRAM - It is possible to estimate a slack level accurately in consideration of a shape of a deformed cable. A point cloud analysis device sets a plurality of regions of interest obtained by window-searching a wire model including a quadratic curve model representing a cable obtained from a point cloud consisting of three-dimensional points on an object, the region of interest being divided into a first region and a second region. The point cloud analysis device compares information on the first region with information on the second region based on the point cloud included in the region of interest and the quadratic curve model for each of the plurality of regions of interest, calculates a degree of division boundary representing a degree to which a division position between the first region and the second region of the plurality of regions of interest is a branch point of the cable, and detects a division boundary point that is a branch point of a cable represented by the quadratic curve model based on the degree of division boundary calculated for each of the plurality of regions of interest. | 2022-07-21 |
20220230348 | METHOD AND APPARATUS FOR DETERMINING A THREE-DIMENSIONAL POSITION AND POSE OF A FIDUCIAL MARKER - Apparatuses and methods train a model and then use the trained model to determine a global three dimensional (3D) position and orientation of a fiduciary marker. In the context of an apparatus for training a model, a wider field-of-view sensor is configured to acquire a static image of a space in which the fiducial marker is disposed and a narrower field-of-view sensor is configured to acquire a plurality of images of at least a portion of the fiducial marker. The apparatus also includes a pan-tilt unit configured to controllably alter pan and tilt angles of the narrower field-of-view sensor during image acquisition. The apparatus further includes a control system configured to determine a transformation of position and orientation information determined from the images acquired by the narrower field-of-view sensor to a coordinate system for the space for which the static image is acquired by the wider field-of-view sensor. | 2022-07-21 |
20220230349 | ALIGNMENT METHOD FOR USE IN PLANT - The alignment method includes: an acquisition step of acquiring a first two-dimensional image data group on a acquired first target object, and acquiring a second two-dimensional image data group on a acquired second target object; a conversion step of converting the first two-dimensional image data group into first three-dimensional image data, and converting the second two-dimensional image data group into second three-dimensional image data; a designation step of designating the target serving as an origin in each of images based on the first three-dimensional image data and the second three-dimensional image data; a setting step of setting three-dimensional coordinates with respect to the origin in the first and second three-dimensional image data through use of information on the origin designated in the designation step; and a position examination step of examining positions of the corresponding targets in the first three-dimensional image data and the second three-dimensional image data. | 2022-07-21 |
20220230350 | POSITION RECOGNITION METHOD AND SYSTEM BASED ON VISUAL INFORMATION PROCESSING - A position recognition method and a system based on visual information processing are disclosed A position recognition method according to one embodiment including the steps of: generating a frame image through a camera; transmitting, to a server, a first global pose of the camera and the generated frame image; and receiving, from the server, a second global pose of the camera estimated on the basis of a pose of an object included in the transmitted frame image. | 2022-07-21 |
20220230351 | 3D RECONSTRUCTION USING WIDE-ANGLE IMAGING DEVICES - The pose of a wide-angle image is determined by dewarping regions of the wide-angle image, determining estimated poses of the dewarped regions of the wide-angle image and deriving a pose of the wide-angle image from the estimated poses of the of the dewarped regions. The estimated poses of the dewarped regions may be determined by comparing features in the dewarped regions with features in prior dewarped regions from one or more prior wide-angle images, as well as by comparing features in the dewarped regions with features in a point cloud. | 2022-07-21 |
20220230352 | SYSTEM AND METHODS FOR GRAPHICS RENDERING AND TRACKING - One embodiment is directed to controlling a computing system based on an interpreted user intention. Another embodiment is directed to generating a smoothed position of a feature based upon detected and reprojected positions of the feature. Another embodiment is directed to performing one or more image treatments on a facial region of a user until the perceived SQS satisfies the predetermined target SQS. Another embodiment is directed to video conferencing monitoring the quality of video feed coming from the participants of the video conferencing and creating an image or video from the feed when that participant's feed is good and replacing the live video with the newly created good quality image or video when the feed is bad. Another embodiment is directed to a process of baked triplanar projection using triangles generated from a tessellation, where the baked triplanar projection can generate a 2D mesh including UV coordinates. | 2022-07-21 |
20220230353 | METHOD AND SYSTEM FOR LEARNING A NEURAL NETWORK TO DETERMINE A POSE OF A VEHICLE IN AN ENVIRONMENT - Methods and systems are provided for learning a neural network and to determine a pose of a vehicle in an environment. A first processor performs a first feature extraction on sensor-based image data to provide a first feature map. The first processor also performs a second feature extraction on the aerial image data to provide a second feature map. Both feature maps are correlated to provide a correlation result. The first processor learns a neural network using the correlation result and ground-truth data, wherein each of the first feature extraction and the second feature is learned to extract a portion of features from the respective image data. A geo-tagged second feature map can then be retrieved by an on-board processor of the vehicle which, along with on-board processed sensor-based data by the network trained by the first processor, determines the pose of the vehicle. | 2022-07-21 |
20220230354 | NAVIGATION SYSTEM AND METHOD - A navigation system for one or more vehicles located within a control volume includes: a first camera configured to observe the one or more vehicles and first, second and third reference points disposed within the control volume and having first, second and third known spatial positions, respectively, the first camera being further configured to produce a first output signal from observation of the observed vehicles and reference points; a second camera configured to observe the one or more vehicles and the first, second and third reference points, the second camera being further configured to produce a second output signal from observation of the observed vehicles and reference points; and a processor operatively connected with the first and second cameras and configured to determine a respective spatial position for each of the one or more vehicles from the first and second output signals. | 2022-07-21 |
20220230356 | METHODS AND SYSTEMS FOR VOLUMETRIC MODELING INDEPENDENT OF DEPTH DATA - An illustrative image processing system determines that an object depicted in an image is an instance of an object type for which a machine learning model is available to the image processing system. In response to the determining that the object is the instance of the object type, the image processing system obtains pose data generated based on the machine learning model to represent how objects of the object type are capable of being posed. The image processing system generates a volumetric representation of the object in an estimated pose. The estimated pose is estimated independently of depth data for the object based on the image and the pose data. Corresponding methods and systems are also disclosed. | 2022-07-21 |
20220230357 | DATA PROCESSING - A data processing device includes a plurality of cameras arranged according to a predetermined configuration, where each camera is configured to capture successive images and to detect a current location of one or more elements in the captured images with respect to a coordinate system of the camera, a processor to generate a common camera coordinate system in dependence upon the respective coordinate systems of the plurality of cameras, the common camera coordinate system comprising a set of locations in a three-dimensional space included within the field of view of the plurality of cameras, and a detector to detect a current location of a given element with respect to the common camera coordinate system based on images captured by the plurality of cameras, wherein for each camera, the processor is configured, in response to a detection by the detector that the current location of the given element corresponds to a location in the set of locations of the common camera coordinate system, to generate first data for that location in the set of locations indicative of a mapping between the coordinate system for the camera and the common camera coordinate system, and wherein in response to a detection of a location in the set of locations for which the first data is indicative of the mapping for two or more cameras with respect to the common camera coordinate system, the processor is configured to generate second data for that location indicative of a mapping between the coordinate systems for the two or more cameras. | 2022-07-21 |
20220230358 | IMAGE PROCESSING APPARATUS FOR PROCESSING CAPTURED IMAGE, METHOD THEREFOR, AND STORAGE MEDIUM - An image processing apparatus includes an acquisition unit configured to acquire color information about an object and color information about a background in a first image captured by an image capturing apparatus, a storage unit configured to store the acquired color information about the object and the acquired color information about the background, an expansion unit configured to expand, in a three-dimensional color space, the color information about the object and the color information about the background stored in the storage unit, and an extraction unit configured to extract an area of the object from a second image captured by the image capturing apparatus, based on the respective pieces of the color information expanded by the expansion unit. | 2022-07-21 |
20220230359 | Method and Device for Generating a Resultant Image Based on Colors Extracted from an Input Image - In some implementations, a method includes: obtaining a first image; determining characterization properties for each of a plurality of pixels within the first image; determining a dominant hue based on the one or more characterization properties for each of the plurality of pixels within the first image; determining a plurality of hues that satisfy a predetermined perception threshold relative to the dominant hue based on the characterization properties for each of the plurality of pixels within the first image, wherein the plurality of hues is different from the dominant hue; and generating a second image based at least in part on the dominant hue and the plurality of hues. In some implementations, the second image corresponds to a color gradient generated based on the dominant hue within the first image. In some implementations, the second image is set as a wallpaper for a user interface. | 2022-07-21 |
20220230360 | POINT CLOUD DATA TRANSMISSION DEVICE, POINT CLOUD DATA TRANSMISSION METHOD, POINT CLOUD DATA RECEPTION DEVICE, AND POINT CLOUD DATA RECEPTION METHOD - Disclosed herein is a method of transmitting point cloud data, including encoding point cloud data, and transmitting a bitstream including the point cloud data. Disclosed herein a method of receiving point cloud data, including receiving a bitstream including point cloud data, and decoding the point cloud data. | 2022-07-21 |
20220230361 | INFORMATION PROCESSING METHOD, AND ENCODING DEVICE - Disclosed are an information processing method and an encoding device. In the information processing method performed by the encoding device, pieces of depth information and video frames are collected, where each piece of the depth information corresponds one of the video frames. The pieces of depth information and the video frames are jointly or separately encoded to obtain pieces of encoded information. The pieces of encoded information are written into at least one code stream, and the at least one code stream is sent to an encoding device such that the encoding device performs image processing on the basis of the pieces of encoded information. | 2022-07-21 |
20220230362 | METHOD AND APPARATUS FOR ADAPTIVE NEURAL IMAGE COMPRESSION WITH RATE CONTROL BY META-LEARNING - A method of adaptive neural image compression with rate control by meta-learning includes receiving an input image and a hyperparameter; and encoding the received input image, based on the received hyperparameter, using an encoding neural network, to generate a compressed representation. The encoding includes performing a first shared encoding on the received input image, using a first shared encoding layer having first shared encoding parameters, performing a first adaptive encoding on the received input image, using a first adaptive encoding layer having first adaptive encoding parameters, combining the first shared encoded input image and the first adaptive encoded input image, to generate a first combined output, and performing a second shared encoding on the first combined output, using a second shared encoding layer having second shared encoding parameters. | 2022-07-21 |
20220230363 | MEDICAL INFORMATION PROCESSING APPARATUS - A medical information processing apparatus according to an embodiment includes a processing circuitry. The processing circuitry is configured to acquires one or more first images that are images of parts obtained by classifying a subject appearing in a medical image into each part, generates, from the acquired one or more first images, a second image that is an image of the subject spatially continuous according to an anatomical criterion, and synthesizes the generated second image with a background to generate a third image. | 2022-07-21 |
20220230364 | Method And Apparatus For Processing Radar Image - Disclosed is a method for processing a radar image performed by a computing device including at least one processor. The method may include: creating a first polarization image by performing a first decomposition operation with respect to an input radar image; creating a synthetic image through an image creation model based on the input radar image; and creating result information through an image processing model based on the first polarization image and the synthetic image. | 2022-07-21 |
20220230365 | IN-APPLICATION ADJACENT COLOR CONTRAST DETECTION - Methods and systems disclosed relate to color controls for visual accessibility within applications. Within a content editor of an application, a user may choose one or more colors for a content element. Upon choosing the color for the content element, a color control generates a contrast ratio between the chosen color of the content element and a background color upon which the content element may be seen. If a contrast ratio is not met or exceeded, an indicator is provided to a user. In some embodiments, the color control may further recommend an accessible color to the user in place of the chosen color, such that the contrast ratio between the accessible color and the background color meets or exceeds the threshold. | 2022-07-21 |
20220230366 | X-RAY BAGGAGE AND PARCEL INSPECTION SYSTEM WITH EFFICIENT THIRD-PARTY IMAGE PROCESSING - In an approach to X-ray inspection image display systems, a colorized X-ray inspection image is received comprising a monochrome X-ray inspection image that is colorized in accordance with an X-ray inspection system false colorization scheme. The colorized X-ray inspection image is filtered by performing pixel shading on the colorized X-ray inspection image to generate a custom colorized X-ray inspection image having a custom false colorization scheme that is different from the X-ray inspection system false colorization scheme. | 2022-07-21 |