Abstract: Systems, and method and computer readable media that store instructions for high-resolution face recognition.

Abstract: A display device includes: at least one fingerprint sensor configured to sense a fingerprint of a user corresponding to a first fingerprint sensing area of a display panel; an image generator configured to generate a target fingerprint image based on a sensing signal output from the at least one fingerprint sensor; an image analyzer configured to detect a defect in the target fingerprint image based on at least one first fingerprint image corresponding to the first fingerprint sensing area and at least one second fingerprint image corresponding to a second fingerprint sensing area spaced apart from the first fingerprint sensing area of the display panel; and an image corrector configured to correct the defect in the target fingerprint image.

Abstract: Optically computed phase imaging systems and methods are provided. An example system includes an interferometer configured to output 3D spatial-spectral data of a sample including an interferometric signal and an optical computation assembly having a spatial light modulator configured to modulate the 3D spatial-spectral data with a modulation pattern. The modulation pattern modulates the interferometric signal along a spectral dimension to select a depth to obtain a sample signal at the selected depth and modulates the interferometric signal along a first spatial dimension to create a waveform to facilitate phase extraction. The system further includes a detector configured to detect 2D spatial data of the sample. The system further includes a processor coupled to a memory, the processor configured to process the 2D spatial data to extract phase information of the sample.

Abstract: A method for detecting blood-tissue barrier breakdown or disruption is provided. The method includes acquiring first image data of a target region of a subject with a predetermined spatial resolution; administrating exogenous or endogenous tracer into the subject; acquiring second image data of the target region with the predetermined spatial resolution after administration of the tracer; differentiating healthy tissue and pathological tissue with blood-tissue barrier breakdown in the target region based on the first image data and the second image data; and visualizing or analyzing the blood-tissue barrier breakdown of pathological tissue based on the differentiation.

Abstract: A three-dimensional data encoding method includes: assigning three-dimensional points to one of layers, based on items of geometry information of the three-dimensional points; searching three-dimensional points surrounding a current three-dimensional point to be encoded, to select, from the three-dimensional points, a three-dimensional point to be referred to when a predicted value of attribute information of the current three-dimensional point is calculated, the current three-dimensional point belonging to a first layer among the layers; and calculating the predicted value of the attribute information of the current three-dimensional point using the three-dimensional point selected. In the searching of the three-dimensional points, a search range for a same layer as the current three-dimensional point is different from a search range for a layer higher than the first layer.

Abstract: A system, method, and apparatus for displaying a fused reconstructed image with a multidimensional image are disclosed. An example imaging system receives a selection corresponding to a portion of a displayed multidimensional visualization of a surgical site. At the selected portion of the multidimensional visualization, the imaging system displays a portion of a three-dimensional image which corresponds to the selected multidimensional visualization such that the displayed portion of the at least one of the three-dimensional image or model is fused with the displayed multidimensional visualization.

Abstract: A photographing guide device includes a detection means and an output means. The detection means compares a candidate image of a structure captured from a capturing candidate position in a capturing candidate direction with a registered image of the structure captured from a given capturing position in a given capturing direction and stored in advance, thereby detecting a positional difference between the capturing candidate position and the given capturing position. The output means outputs information indicating the detected positional difference.

Abstract: This document describes techniques for enabling de-aliased imaging for a synthetic aperture radar. Radar signals processed by a synthetic aperture radar (SAR) system may include false detections in the form of aliasing induced by grating lobes. The techniques described herein can reduce the adverse effects of grating lobes by obtaining an initial SAR image using a back-projection algorithm. Aliasing effects (e.g., false detections) in this initial image may be common due to the limitations of an SAR system moving at non-uniform speeds. A refined image is produced from the initial image by applying a de-aliasing filter to the initial image. The refined image may have reduced or eliminated false detections that attribute to aliasing effects, resulting in a better representation of the environment of the vehicle.

Abstract: By processing an image in which a plurality of articles (such as products) placed on a shelf are captured, an image processing unit (120) determines the article name (such as the product name) of each of the plurality of articles captured in the image. Determining an article name also includes determining identification information tied to the article name. When a specific condition is satisfied for an article the article name of which is indeterminable by the image processing unit (120) (hereinafter described as an undetermined article), an article inference unit (130) infers the article name of the undetermined article to be the article name of an article positioned adjacent to the undetermined article.

Abstract: Method for inspecting a geometry (10) having a surface (11), which method uses an inspection device (100) having a digital image capturing means (120) and a shape scanning means (130), comprising the steps of a) orienting the inspection device (100) in a first orientation; b) depicting the surface (11) to produce a first image; c) measuring a shape of a first geometry part to produce a first shape; d) moving the inspection device (100) to a second orientation; e) depicting the surface (11) to produce a second image; f) measuring a second part of said geometry (10) to produce a second shape; g) using digital image processing based on said first and second images, determining a geometric orientation difference between said first and second orientations; h) determining a geometric relation between the first and second shapes; and i) producing a data representation of said geometry based on said first shape, said second shape and said geometric relation. The invention also relates to a device.

Abstract: A method for producing an image of a subject with a magnetic resonance imaging (MRI) comprises acquiring a first set of partial k-space data from the subject and generating a phase corrected image based on a phase correction factor and the first set of the partial k-space data. The method further includes transforming the phase corrected image into a second set of partial k-space data and reconstructing the image of the subject from the second set of the partial k-space data and a weighting function.

Abstract: Techniques for automated facial measurement are provided. A set of coordinates for a set of landmarks on a face of a user are extracted by processing an image using a machine learning model. An orientation of the face of the user is determined. It is determined that impedance conditions are not present in the images, and a reference distance on the face of the user is estimated based on the image, where the image depicts the user facing towards the imaging sensor. A nose depth of the user is estimated based on a second image based at least in part on the reference distance, where the second image depicts the user facing at an angle relative to the imaging sensor. A facial mask is selected for the user based on the nose depth.

Abstract: Provided are an image-processing system, an image-processing device, an image-processing method, and an image-processing program capable of appropriately inspecting, measuring, or recognizing targets by using a plurality of imaging units even in a case where there is an individual difference in performance of each imaging unit. An image correction-processing unit that individually acquires pieces of image data from a first camera and a second camera to individually correct image deterioration caused by each of the cameras by pieces of image-processing and an inspection processing unit that individually acquires the pieces of image data after the correction from the image correction-processing unit to individually inspect imaged targets by pieces of image-processing are provided.

Abstract: Embodiments herein provide for a method of determining an optical device modulation transfer function (MTF). The method described herein includes projecting a baseline image of a pattern from a light engine to a detector. The baseline image is analyzed to determine a baseline function. A baseline fast Fourier transform (FFT) or a baseline MTF of the baseline function is obtained. The method further includes projecting an image of the pattern from the light engine to one or more optical devices. The pattern is outcoupled from the one or more optical devices to the detector. The image is analyzed to determine a function. A function FFT or a function MTF is obtained corresponding to the image. An optical device MTF of the one or more optical devices is determined by comparing the baseline FFT and the function FFT determined by analyzing the image or by comparing the baseline MTF and the function MTF determined by analyzing the image.

Abstract: An object is to provide a technique allowing photographed data acquired by a camera to be converted properly to an image having a resolution necessary for inspection. An imaging device includes a camera, an image data output unit, and an external output signal generator. The camera outputs photographed data obtained by photographing an image on the basis of a camera output signal generated with a constant period. The image is printed on a printing medium transported in a transport direction X. The image data output unit outputs image data based on the photographed data to an inspection device. The external output signal generator generates an external output signal indicating timing of output of the image data by the image data output unit.

Abstract: A method and a system for automatically loading parameters, and a client-end server thereof are provided, and the method and the system, by a reversible information hiding technology, entrain various required parameters in an engineering drawing hiddenly to generate an encrypted file; and then, after decrypting the encrypted file by a pre-stored cipher key, obtain and automatically load the required parameters. Therefore, the parameters can be automatically loaded quickly, accurately and safely.

Abstract: An array-based light detection and ranging (LiDAR) unit includes an array of emitter/detector sets configured to cover a field of view for the unit. Each emitter/detector set emits and receives light energy on a specific coincident axis unique for that emitter/detector set. A control system coupled to the array of emitter/detector sets controls initiation of light energy from each emitter and processes time of flight information for light energy received on the coincident axis by the corresponding detector for the emitter/detector set. The time of flight information provides imaging information corresponding to the field of view. Interference among light energy is reduced with respect to detectors in the LiDAR unit not corresponding to the specific coincident axis, and with respect to other LiDAR units and ambient sources of light energy. In one embodiment, multiple array-based LiDAR units are used as part of a control system for an autonomous vehicle.

Abstract: A quantum key distribution (QKD) system comprising: an emitter (110) adapted to generate a QKD free-space signal, a transmitter station (220) adapted to receive the free-space signal from the emitter (110), and a remote QKD receiving station (250) supporting a QKD receiver (160) located at a different location than the transmitter station, wherein the transmitter station is adapted to receive said free space signal from the emitter and to forward said signal through a fiber link (400) to the QKD receiver (160) in said remote QKD receiving station (250).

Abstract: Embodiments are disclosed for characterizing and quantifying composite laminate structures. The embodiments take a composite laminate of unknown ply stack composition and sequence and determine various information about the individual plies, such as ply stack, orientation, microstructure, and type. The embodiments distinguish between weave types that exhibit similar planar stiffness behaviors, but produce different failure mechanisms. Individual ply information is then used to derive the laminate bulk properties from externally provided constitutive properties of the fiber and matrix, including extensional stiffness, bending-extension coupling stiffness, bending stiffness, and the like. The laminate bulk properties are then used to generate a probabilistic failure envelope for the composite laminate. In some embodiments, ply stack type and sequence are also determined for a curved composite laminate using the disclosed embodiments by adding a rotational stage.

Abstract: A lung region can be appropriately divided with a region dividing device, method, and program for dividing a lung region included in a medical image. A bronchus extracting unit 30 of a region dividing unit 22 extracts a bronchus from a lung region included in a medical image acquired by imaging a subject including a lung. A first dividing unit 31 to a fourth dividing unit 34 identify a plurality of branch positions of the bronchus and divide, based on the branch positions, the lung region into a plurality of regions.

Abstract: A three-dimensional data encoding method includes: assigning three-dimensional points to one of layers, based on items of geometry information of the three-dimensional points; searching three-dimensional points surrounding a current three-dimensional point to be encoded, to select, from the three-dimensional points, a three-dimensional point to be referred to when a predicted value of attribute information of the current three-dimensional point is calculated, the current three-dimensional point belonging to a first layer among the layers; and calculating the predicted value of the attribute information of the current three-dimensional point using the three-dimensional point selected. In the searching of the three-dimensional points, a search range for a same layer as the current three-dimensional point is different from a search range for a layer higher than the first layer.

Abstract: A method for detecting defects on a sample based on a defect inspection apparatus is provided. In the method, an image data set that includes defect data and non-defect data is organized. A convolutional neural network (CNN) model is defined. The CNN model is trained based on the image data set. The defects on the sample are detected based on inspection data of the defect inspection apparatus and the CNN model. The sample includes uniformly repeating structures, and the inspection data of the defect inspection apparatus is generated by filtering out signals of the uniformly repeating structures of the sample.

Abstract: A computer-implemented method for determining a position of a vehicle is disclosed, wherein the vehicle is equipped with a sensor for capturing scans of a vicinity of the vehicle, wherein the method comprises at least the following steps carried out by computer-hardware components: capturing at least one scan by means of the sensor with a plurality of sensor data samples given in a sensor data representation; determining, from a database, a predefined map with at least one element is given in a map data representation; determining a transformed map by transforming the at least one element of the predefined map from the map data representation into the sensor data representation; matching at least a subset of the sensor data samples of the at least one scan and the at least one element of the transformed map; and determining the position of the vehicle based on the matching.

Abstract: One or more devices, systems, methods and storage mediums for performing optical coherence tomography (OCT) while detecting one or more lumen edges, one or more stent struts, and/or one or more artifacts are provided. Examples of applications include imaging, evaluating and diagnosing biological objects, such as, but not limited to, for Gastro-intestinal, cardio and/or ophthalmic applications, and being obtained via one or more optical instruments, such as, but not limited to, optical probes, catheters, capsules and needles (e.g., a biopsy needle). Preferably, the OCT devices, systems methods and storage mediums include or involve a method, such as, but not limited to, for removing the detected one or more artifacts from the image(s).

Abstract: This application discloses a precoding method and apparatus, and an information transmission method and apparatus, and relates to the field of communications technologies, to help improve overall performance of a plurality of data streams corresponding to a same codeword. The precoding method includes: decomposing a channel matrix into a product of a matrix Q, a matrix R, and a matrix PH, where the matrix PH is a conjugate transpose matrix of a matrix P, both the matrix Q and the matrix P are unitary matrices, and the matrix R is an upper triangular matrix; and precoding to-be-sent data based on the matrix P.

Abstract: Systems, and method and computer readable media that store instructions for high-resolution face recognition.

Abstract: A method and system for processing thermal video images and thermal video images of patients, using a method of real-time demarcation of the macro aspect of the region of interest, generated by MIR and LIR electromagnetic wave emission and merging of the real image, with improvement of the image, also in real time, allowing for analysis of the micro aspect by means of NIR electromagnetic wave emission, for spectral identification of the sample by infrared vibrational spectroscopy. The method and system pertains to the fields of medicine, biomedicine, and electrical engineering.

Abstract: An example laser system includes a laser, a plurality of pulse stretchers coupled together in series, a feedback module, and a lens assembly. The plurality of pulse stretchers is configured to stretch pulse widths of laser pulses provided by the laser and to output stretched laser pulses. The feedback module includes a pulse delay comparator that is configured to compare a first laser pulse of the laser pulses to a corresponding first stretched laser pulse of the stretched laser pulses. The feedback module also includes a computing device that is configured to determine, based on a result of the comparing by the pulse delay comparator, an adjustment to a pulse stretcher of the plurality of pulse stretchers, and apply the adjustment to the pulse stretcher so as to modify a shape of a second stretched laser pulse of the stretched laser pulses.

Abstract: An electronic device is provided. The electronic device includes an input interface and a processor that performs noise removal processing on an image input through the input interface, obtains first information on a first texture block among a plurality of first pixel blocks included in the input image, obtains second information on a second texture block among a plurality of second pixel blocks included in the noise-removed image, obtains third information on maximum energy amount among energy amount of each of the plurality of second pixel blocks, and identifies whether the input image is an upscaled image based on the first, second and third information.

Abstract: Described examples relate to an apparatus comprising one or more image sensors coupled to a vehicle and at least one processor. The at least one processor may be configured to capture, in a burst sequence using the one or more image sensors, multiple frames of an image of a scene, the multiple frames having respective, relative offsets of the image across the multiple frames and perform super-resolution computations using the captured, multiple frames of the image of the scene. The at least one processor may also be configured to accumulate, based on the super-resolution computations, color planes and combine, using the one or more processors, the accumulated color planes to create a super-resolution image of the scene.

Abstract: A technique making use of a few-shot model to determine graphical features present in an image based on a small set of examples with known graphical features. Where a support set including a number of images that each have a known combination of graphical features, the image recognition can identify unknown combinations of those graphical features in any number of query images. In an embodiment of the present disclosure examples of a filled-out form are used to interpret any number of additional filled out versions of the form.

Abstract: An access control apparatus includes a sensor and an authentication circuit coupled to the sensor. The sensor detects eye movement of a user. The authentication circuit stores predetermined access code data corresponding to the user. The authentication circuit compares the detected eye movement of the user to the predetermined access code data. Based on the comparison indicating that the detected eye movement matches the predetermined access code data, the authentication circuit permits access beyond an access control point.

Abstract: The present technology relates to image signal processing. One aspect of the present technology involves analyzing reference imagery gathered by a camera system to determine which parts of an image frame offer high probabilities of—relative to other image parts—containing decodable watermark data. Another aspect of the present technology whittles-down such determined image frame parts based on detected content (e.g., a cereal box) vs expected background within such determined image frame parts.

Abstract: A training method of a neural network, and a recognition method and apparatus using the neural network are disclosed. The recognition method using the neural network includes obtaining a feature vector generated from a hidden layer of the neural network, in response to data being entered to an input layer of the neural network, and determining a reliability of a recognition result for the data using the feature vector and clusters.

Abstract: A vehicle includes one or more cameras that capture a plurality of two-dimensional images of a three-dimensional object. A light detector and/or a semantic classifier search within those images for lights of the three-dimensional object. A vehicle signal detection module fuses information from the light detector and/or the semantic classifier to produce a semantic meaning for the lights. The vehicle can be controlled based on the semantic meaning. Further, the vehicle can include a depth sensor and an object projector. The object projector can determine regions of interest within the two-dimensional images, based on the depth sensor. The light detector and/or the semantic classifier can use these regions of interest to efficiently perform the search for the lights.

Abstract: The embodiments of the disclosure provide a method for inputting characters with eye gazes, a host, and a computer readable storage medium. The method includes: providing a character inputting interface, wherein the character inputting interface comprises a first character set, and the first character set comprises a plurality of first characters; obtaining a first eye gaze position on the character inputting interface; and in response to determining that the first eye gaze position triggers a first specific character among the first characters, inputting the first specific character.

Abstract: An image processing apparatus includes a change detection unit configured to detect a phase change having a predetermined amount of change from phase changes in a subregion of an edge image having a predetermined resolution, a change amount adjustment unit configured to adjust the amount of change of the detected phase change, an adjusted image generation unit configured to generate an edge image having the predetermined resolution in which the amount of change of a motion change is adjusted based on the phase change in which the amount of change of the phase change is adjusted, and a region decision unit configured to decide a new subregion of an edge image having a new predetermined resolution based on the edge image having the predetermined resolution in which the amount of change of the motion change is not adjusted and the edge image having the predetermined resolution in which the amount of change of the motion change is adjusted.

Abstract: An image decoding method includes splitting a current block into a plurality of coefficient groups based on the current block is the non-square block, wherein the plurality of coefficient groups include a non-square coefficient group, obtaining coefficients corresponding to the plurality of coefficient groups based on a first scan order and a second scan order, wherein the first scan order represents a scan order among coefficients of the non-square coefficient group and wherein the second scan order represents a scan order among the plurality of coefficient groups, and reconstructing the image based on the coefficients.

Abstract: Methods, devices and non-transitory computer-readable storage medium for processing a sequence of respective top view images of a same terrestrial location are provided. One of the method may comprise choosing one image, called reference image, among the respective top view images, estimating for each respective top view image a respective geometric deformation between the respective top view image and the reference image, computing by the respective geometric deformations respective subpixel positions of the respective top view images relative to one high-resolution coordinate system, interpolating at the respective subpixel positions to sample at least part of at least some of the respective top view images on a prescribed grid to obtain a high-resolution image.

Abstract: Disclosed are systems and methods including starting with a first number of images, generating a second number of images by digital operations on the first number of images, extracting features from the second number of images, and generating a classification model by training a neural network on the second number of images wherein the classification model provides a percentage likelihood of an image's categorisation, embedding the classification model in a processor and receiving an image for categorisation, wherein the processor is in communication with a POS system, the processor running the classification model to provide output to the POS system of a percentage likelihood of the image's categorisation.

Abstract: An image sensor, electronic device and method thereof that performs on-sensor single object class detection using an on-sensor single object class detection deep neural network (DNN), such as a face detection DNN. The single object class detection DNN includes a pixel array layer configured to capture an image and transfer image data of the captured image, and a logic and single object class detection deep neural network (DNN) layer that receives the image data directly from the pixel array layer and outputs the image data with the single object class detection data to a communication bus of an electronic device.

Abstract: A system, method, and apparatus for displaying a fused reconstructed image with a multidimensional image are disclosed. An example imaging system receives a selection corresponding to a portion of a displayed multidimensional visualization of a surgical site. At the selected portion of the multidimensional visualization, the imaging system displays a portion of a three-dimensional image which corresponds to the selected multidimensional visualization such that the displayed portion of the at least one of the three-dimensional image or model is fused with the displayed multidimensional visualization.

Abstract: A method comprising: receiving an image stream of a mammalian cardiac muscle cell; defining or having defined a region of interest (ROI) within said cell; calculating a fast Fourier transform (FFT) of said ROI; detecting peaks in said FFT; and determining at least one of sarcomere length, mitochondrial length, and mitochondrial width, based, at least in part, in said detected peaks.

Abstract: A method and apparatus for correcting aberrations over the entire field of view of an optical system, in which a first part of the apparatus applies different pre-compensating aberrations individually to different portions of the field of view, such that aberrations caused by a second part of the apparatus cancel the aberrations applied by the first part. The first part of the apparatus is temporally, angularly, or spatially multiplexed and the second part of the apparatus is spatially or angularly multiplexed such that ray bundles corresponding to subsets of contiguous pixels in an image source are each subjected to corresponding pre-compensating aberrations and subsequent aberrations, resulting in a substantially non-aberrated performance over the entire field of view of the optical system.

Abstract: A workpiece image search apparatus includes: a workpiece image deformation unit that generates a third workpiece image by deforming a second workpiece image so that a difference in workpiece shape between a first workpiece image and the second workpiece image becomes smaller, wherein the first workpiece image is obtained by projecting a first workpiece shape of a first workpiece on a two-dimensional plane, and the second workpiece image is obtained by projecting a second workpiece shape of a second workpiece on a two-dimensional plane; and a similarity calculation unit that calculates a similarity between the first workpiece shape and the second workpiece shape by comparing the third workpiece image with the first workpiece image.

Abstract: Provided is a state determination apparatus that appropriately performs pattern classification processing and/or pattern determination processing even when a map generated by the SOM technique includes discontinuous image regions. In the state determination apparatus, the matching processing unit obtains adaptability data indicating a correlation degree between template data indicating a state and the SOM output data. The state determination unit obtains a state evaluation value based on an activity value obtained by the activity value obtaining unit and the adaptability value. The time series estimation unit determines a state of an input data based on the state evaluation value and state transition probability between states. This allows for appropriately performing pattern classification processing and/or pattern determination processing even when a map generated by the SOM technique includes discontinuous image regions.

Abstract: A method of applying a confidence classifier for intent classification in association with an automated chat bot according to an embodiment includes processing, by a computing system, an utterance with an intent classifier to determine a probability distribution of possible intents associated with the utterance, generating, by the computing system, a plurality of measures of peakedness of the probability distribution, and applying, by the computing system, a trained confidence classifier to determine a single normalized probability of a most likely intent associated with the utterance based on the plurality of measures of peakedness of the probability distribution.

Abstract: Techniques for providing perceptually motivated video pre-filtering are described.

Abstract: Embodiments are disclosed for characterizing and quantifying composite laminate structures. The embodiments take a composite laminate of unknown ply stack composition and sequence and determine various information about the individual plies, such as ply stack, orientation, microstructure, and type. The embodiments can distinguish between weave types that may exhibit similar planar stiffness behaviors, but would produce different failure mechanisms. Individual ply information may then be used to derive the laminate bulk properties from externally provided constitutive properties of the fiber and matrix, including extensional stiffness, bending-extension coupling stiffness, bending stiffness, and the like. The laminate bulk properties may then be used to generate a probabilistic failure envelope for the composite laminate. In some embodiments, ply stack type and sequence may also be determined for a curved composite laminate using the disclosed embodiments by adding a rotational stage.

Abstract: In a method for deconvolving image data, image data of an object are captured with a number n of confocal beam paths. The image data are converted into resultant image data by means of a point spread function. The resultant image data are deconvolved again in the frequency domain using a deconvolution function, wherein the deconvolution function contains the formation of at least a number n of sum terms and a Wiener parameter w. The results of the sum terms are stored in retrievable fashion; the Wiener parameter W is modified at least once proceeding from its original value and the deconvolution is carried out by means of the deconvolution function with the modified Wiener parameter w and the stored results of the sum terms.