Abstract: Techniques are described for automated analysis and use of images acquired of an object and of associated image acquisition metadata, such as for manmade largescale objects at fixed locations in outdoor environments, and to automatically generate a 3D computer model of the object (e.g., the 3D shape of the object exterior's surface) from visual data in the acquired images and from image acquisition device motion data during the image acquisition, to use the computer model to automatically determine measurements for object attribute(s), and to display or otherwise provide information about the generated computer model and/or determined object attributes. The image acquisition metadata may include motion data from IMU (inertial measurement unit) sensors on the image acquisition device, and include additional related data that is determined based at least in part on that motion data (e.g., acquisition pose data for particular acquired images, 3D positions on object exterior, etc.).

Abstract: The display system includes an automotive system, a display panel, and a panel driving circuit. The panel driving circuit receives a frame from the automotive system and determines if a panel error with respect to the display panel occurs. If the panel error occurs, the panel driving circuit replaces a portion of the frame with an error icon to generate a prompt frame, and transmit the prompt frame to the display panel. If the panel error does not occur, the panel driving circuit transmits the frame to the display panel.

Abstract: Automated inventory management and material (or container) handling removes the requirement to operate fully automatically or all-manual using conventional task dedicated vertical storage and retrieval (S&R) machines. Inventory requests Automated vehicles plan their own movements to execute missions over a container yard, warehouse aisles or roadways, sharing this space with manually driven trucks. Automated units drive to planned speed limits, manage their loads (stability control), stop, go, and merge at intersections according human driving rules, use on-board sensors to identify static and dynamic obstacles, and human traffic, and either avoid them or stop until potential collision risk is removed. They identify, localize, and either pick-up loads (pallets, container, etc.) or drop them at the correctly demined locations. Systems without full automation can also implement partially automated operations (for instance load pick-up and drop), and can assure inherently safe manually operated vehicles (i.

Abstract: The disclosed technology provides solutions for automatically generating customizable advertisements based on user preferred musical selection. In some aspects, a process of the disclosed technology can include steps for receiving a first video segment and a second video segment, receiving an audio file wherein the audio file comprises a musical selection corresponding with preferences of at least one user, and automatically editing the first video segment, based on the musical selection to produce a first edited segment. In some aspects, the process further includes operations for automatically editing the second video segment to produce a second edited segment, and automatically combining the first edited segment with the second edited segment and the musical selection. Systems and machine-readable media are also provided.

Abstract: Provided are an electronic device and operation method thereof. The electronic device may include: a display having a biometric sensing region; a biometric sensor disposed in the biometric sensing region; and a processor.

Abstract: A processor identifies an original drawing part that is originally drawn in a test image. Furthermore, the processor identifies a noise point in the test image. Furthermore, the processor determines which of predetermined two types of cause candidates is a cause of the noise point by determining a degree of overlapping between the original drawing part and the noise point. The two types of cause candidates are: waste toner dropping in which waste toner that has adhered to a transfer body that transfers a toner image to a sheet, is transferred to the sheet in the image forming device; and carrier developing in which magnetic carrier that has been mixed with toner is transferred to a sheet.

Abstract: A method of performing antimicrobial susceptibility testing (AST) on a sample uses a reader device that mounts on a mobile phone having a camera. A microtiter plate containing wells preloaded with the bacteria-containing sample, growth medium, and drugs of differing concentrations is loaded into the reader device. The wells are illuminated using an array of illumination sources contained in the reader device. Images of the wells are acquired with the camera of the mobile phone. In one embodiment, the images are transmitted to a separate computing device for processing to classify each well as turbid or not turbid and generating MIC values and a susceptibility characterization for each drug in the panel based on the turbidity classification of the array of wells. The MIC values and the susceptibility characterizations for each drug are transmitted or returned to the mobile phone for display thereon.

Abstract: Described herein are neural network-based systems, methods and instrumentalities associated with estimating the motion of an anatomical structure. The motion estimation may be performed utilizing pre-learned knowledge of the anatomy of the anatomical structure. The anatomical knowledge may be learned via a variational autoencoder, which may then be used to optimize the parameters of a motion estimation neural network system such that, when performing motion estimation for the anatomical structure, the motion estimation neural network system may produce results that conform with the underlying anatomy of anatomical structure.

Abstract: Provided herein are systems and methods for simultaneous imaging and stimulation using a microscope system. The microscope system can have a relatively small size compared to an average microscope system. The microscope can comprise in part an imaging light source and a stimulation light source. Light from the imaging light source and the stimulation light source can be spectrally separated to reduce cross talk between the stimulation light and the imaging light.

Abstract: A method of decoding video data includes generating a prediction block for a current block of the video data and decoding a residual block for the current block of the video data. The method includes combining the prediction block and the residual block to generate a reconstructed block of the video data and determining a variable M×N sample pattern based on a block size of the current block. The method includes estimating a local luma level for samples of the reconstructed block using the variable M×N sample pattern and applying, based on the estimated local luma level, a deblocking filter to the samples of the reconstructed block to generate filtered samples. The method includes generating final samples of the video data based on the filtered samples.

Abstract: Subject matter regards improving machine learning techniques using informed pseudolabels. A method can include receiving previously assigned labels indicating an expected classification for data, the labels having a specified uncertainty, generating respective pseudolabels for the data based on the previously assigned labels, the data, a class vector determined by an ML model, and a noise model indicating, based on the specified uncertainty, a likelihood of the previously assigned label given the class, and substituting the pseudolabels for the previously assigned labels in a next epoch of training the ML model.

Abstract: Systems and methods are disclosed configured to train an autoencoder using images that include faces, wherein the autoencoder comprises an input layer, an encoder configured to output a latent image from a corresponding input image, and a decoder configured to attempt to reconstruct the input image from the latent image. An image sequence of a face exhibiting a plurality of facial expressions and transitions between facial expressions is generated and accessed. Images of the plurality of facial expressions and transitions between facial expressions are captured from a plurality of different angles and using different lighting. An autoencoder is trained using source images that include the face with different facial expressions captured at different angles with different lighting, and using destination images that include a destination face.

Abstract: A medical imaging system having an image sensor, a birefringent mask coupled to the image sensor, and processing circuitry that obtains image data from the image sensor, and performs processing on the image data based on unique optical characteristics of a coupled medical device, wherein the processing includes selecting at least one of depth of field expansion and blur improvement based on the unique optical characteristics.

Abstract: Thermal imaging systems can include an infrared camera module (200), a user interface (208), a processor (222), and a memory. The memory can include instructions to cause the processor (222) to perform a method upon a detected actuation from the user interface (208). The method can include performing a non-uniformity correction (1702) to reduce or eliminate fixed pattern noise from infrared image data from the infrared camera module (200). The method can include capturing infrared images (1704) at a plurality of times and register the captured images via a stabilization process (1706). The registered, non-uniformity corrected images can be used to perform a gas imaging process (1700). A processor (222) can be configured to compare an apparent background temperature in each of a plurality of regions of infrared image data to a target gas temperature. The processor (222) can determine if such regions lack sufficient contrast to reliably observe the target gas.

Abstract: Apparatuses, systems, and techniques to receive, at one or more processors associated with an image signal processing (ISP) pipeline for a camera, an image generated using an image sensor of the camera, wherein the image comprises a plurality of channels associated with color information of the image; process, by the one or more processors, the plurality of channels of the image to generate a plurality of luminance and/or radiance values; generate, by the one or more processors, an updated version of the image using the plurality of luminance and/or radiance values; and output the updated version of the image.

Abstract: A shaping device is provided and includes a head portion that ejects a material of a shaped object, and a controller that controls the operation of the head portion based on ejecting position specifying data indicating a position to eject the material of each color, the ejecting position specifying data being data in which a color is expressed in a predetermined material color space. The controller generates the ejecting position specifying data based on input data in which colors are expressed in a predetermined input color space, and in the process of generating the ejecting position specifying data, performs a color conversion process of converting a color using at least a profile that associates the color in the input color space with the color in the material color space, and a color adjustment parameter which is a parameter used for adjustment performed for color conversion performed using the profile.

Abstract: In various examples, systems and methods are disclosed that preserve rich spatial information from an input resolution of a machine learning model to regress on lines in an input image. The machine learning model may be trained to predict, in deployment, distances for each pixel of the input image at an input resolution to a line pixel determined to correspond to a line in the input image. The machine learning model may further be trained to predict angles and label classes of the line. An embedding algorithm may be used to train the machine learning model to predict clusters of line pixels that each correspond to a respective line in the input image. In deployment, the predictions of the machine learning model may be used as an aid for understanding the surrounding environment—e.g., for updating a world model—in a variety of autonomous machine applications.

Abstract: A head-mounted display device has more convenient functions, which is usable in, e.g., surveying. An eyeglass display device includes a display unit and an operation content receiving unit. The display unit is configured to be placed on the head of a user and to be viewed by the user. The operation content receiving unit receives content of operation performed by the user. The display unit displays an image that shows a location relationship between positioning information of a target positioned by a location measuring device by using laser light and a predetermined placement planned location of the target. Multiple coordinate systems are prepared for a coordinate system of the displayed image. The operation content receiving unit receives designation of one coordinate system from among the multiple coordinate systems by the user.

Abstract: In a solid-state imaging element that transfers data in a vertical direction, the number of times of transfer is reduced. The solid-state imaging element is provided with a plurality of storage units and a data transfer circuit. In the solid-state imaging element, each of the plurality of storage units is provided with a holding unit that holds predetermined reset data and signal data according to an amount of light, and an arithmetic circuit that obtains a difference between the reset data and the signal data to output as pixel data. Furthermore, the data transfer circuit in the solid-state imaging element transfers the output pixel data.

Abstract: Systems and methods are provided for analyzing messages generated by a plurality of computing devices associated with a plurality of users in a messaging system to generate training data to train a machine learning model to determine a probability that a media content item was generated inside an enclosed location or outside, receiving a media content item from a computing device, analyzing the media content item using the trained machine learning model to determine a probability that the media content item was generated inside an enclosed location or outside, determining, based on the probability generated by the trained machine learning model, that the media content item was generated inside an enclosed location, and determining an inside temperature associated with the venue based on messages generated by a plurality of computing devices in a messaging system comprising media content items and temperature information for the venue or a similar venue type.

Abstract: Systems, devices, and methods for driving projectors are described. The actual area projected over by a laser projector for a given pixel may not exactly match a desired projection area for the pixel, especially at edge regions of an image. In the present systems, devices, and methods, projection data is provided for at least one image to be projected by a laser projector. The projection data can include sets of alternative data sections at edge regions of the at least one image, effectively increasing resolution for the edge regions of the image. Depending on a projection pattern being used by a laser projector at a given time, select alternative data sections can be projected which closely match the actual area covered by the projection pattern, improving image quality.

Abstract: The application provides an information processing device, system and method. The information processing device mainly includes a storage module and a data processing module, where the storage module is configured to receive and store input data, instruction and output data, and the input data includes one or more key features; the data processing module is configured to identify the key features included in the input data and score the input data in the storage module according to a judgment result. The information processing device, system and method provided by the application automatically scores text, pictures, audio, video, and the like instead of manually scoring, which is more accurate and faster.

Abstract: A method of data collection of stool data via a mobile device operable to enable monitoring of gastrointestinal function. A related method of long-term monitoring of patient gastrointestinal function, using one or more signal processing tools (e.g. machine learning algorithms) for automatically interpreting patient stool data, including real-time patient-assessments, in order to detect an adverse clinical event from patient stool data. A system for facilitating real-time monitoring the gastrointestinal function, the system comprising: a camera on a mobile device, a user interface that facilitates self-monitoring of stool characteristics, so as to create health-monitoring data; mobile device storage, server storage, and remote storage (with at least one communication link between them) for storing some or all of the health-monitoring data; and a processor for interpreting such health-monitoring data for clinical or other health-monitoring application.

Abstract: A method of aligning a wafer for semiconductor fabrication processes may include applying a magnetic field to a wafer, detecting one or more residual magnetic fields from one or more alignment markers within the wafer, responsive to the detected one or more residual magnetic fields, determining locations of the one or more alignment markers. The marker locations may be determined relative to an ideal grid, followed by determining a geometrical transformation model for aligning the wafer, and aligning the wafer responsive to the geometrical transformation model. Related methods and systems are also disclosed.

Abstract: A method for automatically enhancing an image from a device includes obtaining a first image using an imaging device. Recognition software is configured to recognize an object or individual in the first image. An initial image profile is configured based on the first image. Editing software is used to edit at least one attribute of the initial image profile. At least one subsequent image is taken or received. The recognition software is used to recognize the object or individual in the at least one subsequent image. The at least one attribute of the at least one subsequent image is automatically edited based on the initial image profile.

Abstract: To provide a video projector which improves visibility in response to changes in projection environment, a video projector has an initial level setter, a level adjuster, a projection display, an image capture, and a projection histogram calculator. The initial level setter performs a prescribed initial level setting on an input video signal and outputs an initial display signal. The level adjuster adjusts the level of the initial display signal on the basis of a projection image and outputs a display signal. The image capture captures the projection image projected on a projection surface by the projection display based on the display signal. The projection histogram calculator prepares a projection histogram for each color. The level adjuster adjusts the level of the initial display signal for each color on the basis of the projection histogram.

Abstract: A method for processing an image and an electronic device therefor are provided. The electronic device includes an image sensor, a memory, and a processor.

Abstract: An apparatus for measuring movement characteristics of a first hair switch includes a movement rig, a camera, and a computer. The first hair switch is mountable on the movement rig. The movement rig is operable to apply a forced oscillation to the first hair switch. The camera is for capturing images of the first hair switch during movement of the first hair switch during and after application of the forced oscillation. The computer is communicably connected to the camera. The computer includes a processor for processing the images and extracting quantitative measurements of the first hair switch from the images. A filter is applied to the images to remove any stray hairs detected before subsequent analysis of the images is carried out.

Abstract: Apparatus and method for inter-frame prediction. For example, one embodiment of a method comprises extracting a first set of key points from a current frame and a second set of key points from a reference frame; projecting a key point p into the reference frame as p? based on a motion vector associated a region in the current frame in which key point p is found; locating n key points in the reference frame which are closest to p?; and matching one of the n key points in the reference frame to key point p in the current frame based on descriptor distances between each of the n key points and p?.

Abstract: Provided is a method of processing data corresponding to a fingerprint image including obtaining first image data corresponding to a group including a plurality of pixels, and dividing the first image data into second image data corresponding to each of the plurality of pixels based on a plurality of weights corresponding to the plurality of pixels, respectively.

Abstract: The disclosed techniques generally relate to devices and methods for generating cropped images in which one or more features of interest are preserved or emphasized. In one implementation, such features of interest may include facial features. In accordance with certain implementations, location and extent of such features may be identified and used in conjunction with information regarding display characteristics so as to generate cropped images preserving or emphasizing the feature of interest when displayed on a given device.

Abstract: A system includes an imager, a processor, and an output module. The imager is configured to provide a plurality of tissue images. The processor is coupled to the imager and is configured to receive the plurality of images. The processor is coupled to a memory. The memory has instructions for determining classification of a region of tissue associated with the plurality of tissue images. Determining classification includes fusing discriminator outputs from a region covariance descriptor and from a normalized color histogram discriminator. The output module is coupled to the processor. The output module is configured to provide a three dimensional representation of the tissue.

Abstract: A system for estimating a Lambertian equivalent reflectance for reflective band imagery is disclosed. In some embodiments, the system estimates an equivalent reflectance and performs atmospheric correction of reflective band imagery without user interaction and accounts for the effect of background reflectance mixing with individual target reflectances. Some of these embodiments use a dark pixel-based technique to improve the characterization of the atmosphere.

Abstract: There is provided an encoding device, encoding method, decoding device, and decoding method that make it possible to improve the coding efficiency. The encoding device and the decoding device each perform classification of classifying a pixel of interest of a decoding in-progress image into any of a plurality of classes by using an inclination feature amount, and perform a filter arithmetic operation with the decoding in-progress image by using a tap coefficient of a class of the pixel of interest among tap coefficients of the respective classes. The inclination feature amount indicates a tangent direction of a contour line of pixel values of the pixel of interest. The decoding in-progress image is obtained by adding a residual of predictive coding and a predicted image together. The tap coefficients of the respective classes are each obtained through learning for minimizing an error by using the decoding in-progress image and an original image.

Abstract: A method for increasing spatial resolution of a MS image using a PAN image. For a portion of the scene, values of parameters of a scene model are obtained according to a resemblance between a simulated MS reflectance and the MS reflectance. A relative variation in the simulated MS reflectance is determined with respect to a simulated PAN reflectance near the values of parameters obtained. A difference between the PAN reflectance and a reflectance of a PAN image with reduced spatial resolution is estimated. An MS image with increased spatial resolution is determined, by adding to the MS reflectance a correction corresponding to a product of this difference and this relative variation. A corresponding image-processing system is also provided.

Abstract: A method for selecting important digital images in a collection of digital images, comprising: analyzing the digital images in the collection of digital images to identify one or more sets of similar digital images; identifying one or more sets of similar digital images having the largest number of similar digital images; selecting one or more digital images from the identified largest sets of similar digital images to be important digital images; and storing an indication of the selected important digital image in a processor accessible memory.

Abstract: The present invention relates to a method for signaling image information and to a decoding method using same. The method for signaling image information according to the present invention comprises: a step of performing inter-prediction for a current picture; and a step of signaling information including the result of said inter-prediction and reference picture information indicating reference pictures usable in said inter prediction, wherein said reference picture information contains pieces of picture order count (POC) information of said usable reference pictures. The POC information of said usable reference pictures in said reference picture information is configured such that POCs for the pictures existing before said current picture in terms of a POC sequence are located at the front, and POCs for the pictures existing after said current picture in terms of a POC sequence are located following the POCs located at the front.

Abstract: Methods, systems, and computer program products for storing data in, and reading data from, machine-readable optical labels are disclosed. A machine-readable optical label includes a data storage layer and a substrate having a reflective surface. The data storage layer defines a plurality of data storage patterns in each of a corresponding number of absorption bands. Each of the data storage patterns encodes a portion of the data stored in the label as a reflectivity of the label in the absorption band of the data storage pattern. The label is read by capturing images of the label in each of a plurality of color channels, with each color channel including one absorption band and excluding the other absorption bands. The data stored by each data storage pattern is then decoded from the image in the corresponding color channel.

Abstract: A method and device for blurring an image background, a storage medium, and an electronic apparatus. The method for blurring an image background comprises: using a preset classification model to divide an image to be processed into a foreground region and a background region (201); detecting a contour edge of a photographic subject in the foreground region obtained from the division (S202); and performing blurring on a background of the image according to the contour edge of the photographic subject (S203).

Abstract: In one implementation, a method of estimating optical parameters of surfaces within image data is performed at an electronic device including one or more processors and non-transitory memory. The method includes obtaining an image data frame of a physical environment; obtaining an estimate of an environmental light source summary of the physical environment based on the image data frame; generating, from the image data frame and the estimate of the environmental light source summary, estimated values for optical parameters of a surface within the physical environment, wherein the surface corresponds to at least a portion of the image data frame; and presenting a computer-generated reality (CGR) environment including the surface based at least in part on the estimated values for the optical parameters of the surface and CGR content.

Abstract: A method includes generating, using first restoration parameters, a first guide tile for a degraded tile of the degraded frame, the degraded tile corresponding to a source tile of the source frame; generating, using second restoration parameters, a second guide tile for the degraded tile of the degraded frame, the second restoration parameters being different from the first restoration parameters; determining a first tile difference between the source tile and the first guide tile; determining a second tile difference between the source tile and the second guide tile; calculating projection parameters that minimize a difference between a restored tile of the degraded tile and the source tile; and encoding, in an encoded bitstream, the projection parameters. The difference between the restored tile of the degraded tile and the source tile is a linear combination, using the projection parameters, of the first tile difference and the second tile difference.

Abstract: Persistent scatterers on images and a target object are readily associated with each other. There is provided an image processing apparatus including a persistent scatterer specifier, a phase acquirer, and a clustering unit. The persistent scatterer specifier of the image processing apparatus specifies persistent scatterers at which reflection is stable in a plurality of images. The phase acquirer of the image processing apparatus acquires phases of the specified persistent scatterers. The clustering unit of the image processing apparatus clusters the persistent scatterers based on the positions of the persistent scatterers and the phases.

Abstract: A video processing unit can include a non-object-based region-of-interest detection neural network, a threshold selection module and a region-of-interest map generator. The non-object-based region-of-interest detection neural network can be configured to receive a video frame and generate a plurality of candidate non-object-based region-of-interest blocks. The threshold selection module can be configured to receive the plurality of candidate non-object-based region-of-interest blocks and identify a plurality of selected region-of-interest blocks based on a predetermined threshold. The region-of-interest map generator can be configured to receive the selected non-object-based region-of-interest blocks and generate a region-of-interest map.

Abstract: The present invention discloses an image processing circuit, wherein the image processing circuit comprises a receiving circuit, a sharpness processing circuit, a luminance variation processing circuit and an output circuit. In the operations of the image processing circuit, the receiving circuit is configured to receive image data; the sharpness processing circuit is configured to perform a high-pass filtering operation on the image data to generate processed image data; the luminance variation processing is configured to determine a high frequency component of each pixel within the image data, and for each pixel, the luminance variation processing circuit is configured to calculate a difference between high frequency components of the pixel and neighboring pixel(s) to generate auxiliary image data; and the output circuit is configured to generate output image according to the processed image data and the auxiliary image data.

Abstract: A gaze tracking system includes a contact lens, a photodetector element, a light conditioning element and electronics. The contact lens includes a fiducial having a position. The photodetector element receives a light signal from the fiducial and provides a photodetector output signal. The light signal provides a light intensity pattern at the photodetector. The optical conditioning element receives the light signal and provides a variation in the light intensity pattern on the photodetector in response to changes in the position of the fiducial. And the electronics process the photodetector output signal to calculate the position of the fiducial. A method includes detecting a light signal from a fiducial included in a contact lens, and tracking the contact lens by analyzing the light signal.

Abstract: According to one embodiment, a data compression apparatus includes processing circuitry. The processing circuitry generates reconstructed data by performing reconstruction processing on data. The processing circuitry generates decompressed reconstructed data by performing the reconstruction processing on decompressed data obtained by decompressing compressed data that is generated by performing compression processing on the data. The processing circuitry determines a parameter relating to a compression ratio of the data based on comparison between the reconstructed data and the decompressed reconstructed data.

Abstract: In an image processing apparatus, an image acquirer is configured to acquire a captured image from a camera mounted to a vehicle. A histogram generator is configured to generate a histogram representing a relationship between a luminance and a pixel count of the captured image. The pixel count is a number of pixels in the captured image. An image corrector is configured to generate a corrective tone-curve for correcting the relationship between the luminance and the pixel count of the captured image based on the histogram of the captured image, and correct the captured image using the corrective tone-curve to generate a corrected image. The corrective tone-curve is a tone-curve representing a relationship between input and output values of luminance.

Abstract: An image processing apparatus includes an acquisition unit configured to acquire a parameter about atmospheric fluctuation, a determination unit configured to determine a method and condition for noise reduction processing, a processing unit configured to perform, on input image data, noise reduction processing corresponding to the determined method and condition for noise reduction processing, and a generation unit configured to generate image data corrected by a speckle imaging method, based on a plurality of pieces of image data on which the noise reduction processing has been performed. The determination unit determines the method and condition for noise reduction processing based on the parameter.

Abstract: A method and device for recognizing an image, electronic equipment and a storage medium are provided. The method includes: acquiring an image to be recognized; determining a potential recognition region based on a target algorithm model; determining an up-sampled potential recognition region by up-sampling the potential recognition region; and determining a classification recognition result based on the up-sampled potential recognition region.

Abstract: A signal output unit outputs an acquired signal. A signal accumulation unit accumulates signals. A signal attribute value display unit displays a value of an attribute related to an element constituting a target represented by the acquired signal or a signal generation source in a state in which an instruction for changing the value of the attribute is able to be received. A changed attribute value acquisition unit acquires a changed value of the attribute when the instruction for changing the value of the attribute is received. A signal retrieval unit retrieves, from the signals accumulated in the signal accumulation unit, a signal similar to a changed signal when the value of the attribute has been changed on the basis of the changed value of the attribute acquired by the changed attribute value acquisition unit.