Abstract: Techniques for determining a configuration for deployment of a public transportation system including a plurality of electric public transportation vehicles, in particular electric buses, are disclosed. At least one processor may determine, prior to deployment of the public transportation system and based on received information on timetables and geographical route profiles, a fleet size of a fleet of electric public transportation vehicles, on-board battery parameters of on-board batteries to be installed in electric public transportation vehicles, and charging infrastructure parameters associated with a charging infrastructure to be installed for charging the on-board batteries of the electric public transportation vehicles.

Abstract: The embodiments disclosed herein relate to an address management system that includes a registration service for receiving and validating address information for a user. Validation of a user's address information may involve consulting authoritative sources of information such as a governmental agency. Once validated, the registration service may issue and/or enable a user code that may be used as a key for retrieving the address information for the user. When a user requests a service from an application that requires an address, the user may supply the user code instead of an address. The application may retrieve from an address server at least a portion of the address associated with the registered user code.

Abstract: Apparatus and methods for queueing transportation providers and passengers are described. A method includes queuing in a first queue, first broadcast messages received from passenger mobile devices and queuing in a second queue, second broadcast messages received from transportation provider mobile devices. The method also includes comparing, via a processor, each of the first broadcast messages in the first queue to the second broadcast messages in the second queue to identify a match between one of the first broadcast messages and one of the second broadcast messages.

Abstract: Methods, computer-readable media, software, and apparatuses provide a system that may facilitate communications between drivers who share a route. The system may allow communications to be sent from one driver to another driver and allow drivers to post queries to other drivers sharing a route. Computing devices in the vehicle may collect route data for the system to evaluate and to use in identifying drivers sharing a route.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for calculating graphics resources for a virtual machine. One of the methods includes determining resources available on a graphics card device included in a computer executing a plurality of virtual machines, each virtual machine configured to execute a virtual desktop; determining, based on data received from a hypervisor that manages execution of at least one of the plurality of virtual machines, a graphics profile for a virtual machine included in the plurality of virtual machines executing on the computer; determining a portion of the available resources on the graphics card device allocated to the virtual machine using the graphics profile; and computing an amount of resources on the graphics card device consumed by a virtual desktop of the virtual machine based on the portion of the available resources on the graphics card device allocated to the virtual machine.

Abstract: A method is provided for buffer allocation on a graphics processing unit. The method includes analyzing, by the graphics processing unit, a program to be executed on the graphics processing unit to determine, for an object in the program, a set of elements in the object that are designated to be accessed during an execution of the program. The method further includes allocating, by the graphics processing unit, a placement of the object in a device buffer on the graphics processing unit based on the set of elements to minimize a number of memory accesses during the execution of the program.

Abstract: Systems, devices, and techniques are generally described to transmit image data. An image file including image data may be identified. The image data may be divided into a plurality of portions. The plurality of portions may include a first portion corresponding to a first position in the image data and a second portion corresponding to a second position in the image data. The image data may be modified to produce a shuffled image. The shuffled image may indicate that the first portion corresponds to a third position and the second portion corresponds to a fourth position. The shuffled image may be sent to a recipient computing device. The recipient computing device may render the first portion at the first position and the second portion at the second position to display the image data.

Abstract: A panorama image alignment method method comprises: obtaining multipath spherical images; calculating rotation Euler angles between each spherical image and a middle portion, a left portion and a right portion of an adjacent spherical image according to a middle portion, a left portion and a right portion of each spherical image to obtain a first left portion rotation matrix and a second right portion rotation matrix; obtaining a first left panorama image, a first right panorama image, a second left panorama image and a second right panorama image; aligning the second left panorama image to the first left panorama image, obtaining a second left portion rotation matrix by means of calculation, and then obtaining a rotation matrix of a left panorama; aligning the second right panorama image to the first right panorama image, obtaining a second right portion rotation matrix by means of calculation, and obtaining a rotation matrix of a right panorama.

Abstract: An image processing apparatus includes an image acquisition unit that acquires a first image and a second image acquired by capturing images of a subject including a plurality of bone parts at different times, a converted image acquisition unit that performs super-resolution processing for at least one of the first image or the second image to acquire at least one of a first converted image or a second converted image, a registration processing unit that performs a registration process for the plurality of bone parts in at least one of a combination of the first converted image and the second image, a combination of the first image and the second converted image, or a combination of the first converted image and the second converted image, and a difference image acquisition unit that applies a result of the registration process to the first image and the second image to acquire a difference image between the first image and the second image.

Abstract: Aspects described herein provide a computer-implemented method and system for generating topographic map data at different scales. More specifically, the topographic map data is reduced from large scale to small scale, wherein the scale of the vector features is reduced according to their geometry, feature type and attributes. In order to quickly and easily output digital maps at different scales so that a user may quickly zoom in and out of a map, different zoom levels are produced for different scales, each zoom level containing a variable amount of detail according to its scale, with larger scale zoom levels generally containing more detail than small scale zoom levels. Each zoom level is made up of one or more vector tiles representative of a geographic area, wherein the vector tiles may contain one or more vector features that are representative of objects within that geographic area, and other information related to that geographical area.

Abstract: A user device may capture an image including an object, and may identify the object, including determining an outline of the object. The user device may determine a first center point of the object and an angle of orientation of the object in relation to the image. The user device may rotate the image based on the angle of orientation, including changing one or more dimensions of the image. The user device may, after rotating the image, determine the one or more dimensions of the rotated image, calculate one or more offset values associated with changing the one or more dimensions of the rotated image, and determine a second center point of the object based on the first center point and the one or more offset values. The user device may perform an action related to the rotated image based on determining the second center point of the object.

Abstract: An image processing device includes an image corrector configured to perform at least one correction of cut-out, rotation, and projective transformation on an input image to generate an output image, in which the image corrector is configured to perform the at least one correction based on an aspect ratio of the input image or the output image, or an orientation of an imaging device at a time when the input image is imaged.

Abstract: The disclosure provides a background suppression method and a detecting device in automatic optical detection for a display panel, wherein the background suppression method includes the following steps: S1: collecting a pure color image of the display panel; S2: performing multi-level wavelet decomposition on the pure color image to obtain a series of high-frequency sub-bands and low-frequency sub-bands; S3: performing coefficient smoothing process on high-frequency sub-bands in multiple directions of each level, and performing contrast enhancement process on each level of low-frequency sub-bands; S4: the processed high-frequency sub-bands and the processed low-frequency sub-bands are subjected to wavelet reconstruction to obtain a defect image after background suppression.

Abstract: This disclosure presents a method to denoise a ray traced scene where the ray tracing uses a minimal number of rays. The method can use temporal reprojections to compute a weighted average to the scene data. A spatial filter can be run on the scene data, using the temporal reprojection count to reduce the size of the utilized spatial filter radius. In some aspects, additional temporal filters can be applied to the scene data. In some aspects, global illumination temporal reprojection history counts can be used to modify the spatial filter radius. In some aspects, caustic photon tracing can be conducted to compute a logarithmic cost, which can then be utilized to reduce the denoising radius used by the spatial filter. The modified and adjusted scene data can be sent to a rendering process to complete the rendering to generate a final scene.

Abstract: Noise reduction in images is provided by performing a noise reduction step on blocks of pixels within a video-processing pipeline. The noise reduction step consists of applying a discrete cosine transform (DCT) to the block of pixels, quantizing the resulting DCT coefficients, and performing an inverse of the DCT to the quantized coefficients. The output of that noise reduction step is a block of image pixels similar to the input pixels, but with significantly less image noise. Because the noise reduction step can be performed quickly on small blocks of pixels, the noise reduction can be performed in real-time in a video processing pipeline.

Abstract: Various approaches are disclosed to temporally and spatially filter noisy image data—generated using one or more ray-tracing effects—in a graphically rendered image. Rather than fully sampling data values using spatial filters, the data values may be sparsely sampled using filter taps within the spatial filters. To account for the sparse sampling, locations of filter taps may be jittered spatially and/or temporally. For filtering efficiency, a size of a spatial filter may be reduced when historical data values are used to temporally filter pixels. Further, data values filtered using a temporal filter may be clamped to avoid ghosting. For further filtering efficiency, a spatial filter may be applied as a separable filter in which the filtering for a filter direction may be performed over multiple iterations using reducing filter widths, decreasing the chance of visual artifacts when the spatial filter does not follow a true Gaussian distribution.

Abstract: Techniques for removing artefacts, such as RF interference and/or noise, from magnetic resonance data. The techniques include: obtaining input magnetic resonance (MR) data using at least one radio-frequency (RF) coil of a magnetic resonance imaging (MRI) system; and generating an MR image from input MR data at least in part by using a neural network model to suppress at least one artefact in the input MR data.

Abstract: Provided is an apparatus for processing image blurring configured to extract a sample image by calculating a blur generation area through scales of a horizontal length and a vertical length of an original image, read a pixel value corresponding to the blur generation area calculated from the original image and perform a bitwise operation on the sample image, and set, at a pixel of the sample image changed by the bitwise operation, a result value of the bitwise operation. In this case, the bitwise operation performed on the sample image includes applying the same blurring value on n pixel regions adjacent to a corresponding pixel of the sample image to reduce the time for removing image noise.

Abstract: Provided is an image processing apparatus capable of assuredly finding a lung field that appears in an image even if a subject image appears in a radiation image in a rotated manner and assuredly performing a contrast adjustment with excellent visibility for the lung field. The image processing apparatus is provided with a sideways determination means 13 configured to determine that the subject image is turned sideways in the original image P0 when a minimum point P of a profile generated by summing or averaging pixel values belonging to each pixel column of the original image P0 for each pixel column is away from the center position of the subject image. The original image P0 determined as being turned sideways by the sideways determination portion 13 is rotated by the image rotation portion 16 and used for searching of the lung field.

Abstract: A display device and an image processing method thereof are provided. An image processing method of a display device, according to the present disclosure, comprises the steps of: dividing a display unit of the display device into a plurality of regions; measuring brightness expression performance of the display device, including a value of a relation between the average brightness of the display unit and the brightness of one region among the plurality of regions; calculating an average brightness of an image inputted to the display device; mapping, to the measured brightness expression performance, the calculated average brightness of the inputted image; adjusting the brightness of a region, excluding an emphasized region, of the inputted image so as to generate an adjusted image; and outputting the adjusted image.

Abstract: A method for image processing, an electronic device, and a non-transitory computer readable medium are disclosed. The method includes obtaining an image in a chrominance-luminance separated color mode; traversing luminance components of all pixels in the image to determine a number of pixels corresponding to the respective luminance component; generating an original luminance distribution of the image based on the luminance components and the number of the pixels corresponding to the respective luminance component; generating a luminance mapping relationship between a preset standard luminance distribution and the original luminance distribution; and adjusting the luminance components of the pixels in the image based on the luminance mapping relationship to obtain a processed image.

Abstract: An image processing method includes acquiring an image in a chrominance-luminance separation color mode; performing scene recognition of the image to determine a scene of the image; traversing luminance components of respective pixel points in the image, and generating a luminance distribution of the image according to a traversing result of the luminance components; generating a luminance mapping relation based on a standard luminance distribution corresponding to the scene of the image and the luminance distribution of the image; and adjusting the luminance components of the respective pixel points in the image according to the luminance mapping relation to generate a first processed image.

Abstract: A method for image processing, an electronic device, and a non-transitory storage medium are disclosed. The method includes obtaining an image captured by the camera and performing edge identification on the image; determining a filtering kernel for a filtering processing on the image according to a result of the edge identification; performing the filtering processing on the image based on the filtering kernel to obtain a low-frequency image and a high-frequency image corresponding to the image; and performing an enhancement processing for the high-frequency image and performing image fusion for the low-frequency image and the enhanced high-frequency image to obtain a processed image.

Abstract: Disclosed is an image processing apparatus. The present image processing apparatus comprises: an input unit for inputting an image; and a processor for shrinking the inputted image to a predetermined ratio, extracting a visual feature from the shrunken image, performing an image quality enhancement process reflecting the extracted visual feature in the inputted image, repeatedly performing, for a predetermined number of times, the shrinking, the extracting, and the image quality enhancement process on the image that has undergone the image quality enhancement process. The present disclosure relates to an artificial intelligence (AI) system and an application thereof that simulate the functions of a human brain, such as recognition, judgment, etc., by using a machine learning algorithm such as deep learning, etc.

Abstract: A digital filter for filtering signals includes a processer and a memory. The processer receives a plurality of input signal values and a plurality of input aggregated values corresponding to the plurality of input signal values. The memory saves a signal value set and a statistical information set. The processer generates a check result according to the plurality of input signal values and the signal value set. The processer updates the statistical information set of the memory according to the check result, and decides whether to insert at least one new signal value into the signal value set of the memory, wherein the processer generates an output value according to the signal value set and the statistical information set of the memory.

Abstract: An inspection device includes: an image acquirer that acquires an inspection target image; an edge extractor that extracts an edge from each of the inspection target image and a reference image to be used in inspecting the output image; a defect candidate region extractor that extracts a defect candidate region having a possibility of a defect by comparing the inspection target image with the reference image; an edge direction calculator that calculates a direction of the edge in the inspection target image and a direction of the edge in the reference image; and a defect determiner that determines whether the defect candidate region is a defect, on a basis of the direction of the edge in the inspection target image and the direction of the edge in the reference image at a position corresponding to the defect candidate region.

Abstract: The present invention provides an image analysis device which is capable of automatically responding to various environmental variations caused by a camera installation condition or an environmental factor without consuming unnecessary calculation resources. The image analysis device is provided with: a plurality of process execution units which are capable of executing different processes on an input image; an analysis unit which analyzes, on the basis of the image, an image variation caused by external environment; and a process selection unit which selects, on the basis of the analyzed variation, at least one from among the plurality of process execution units.

Abstract: System and methods for solder void analysis with an optical inspection component are described, including a plurality of optical fibers longitudinally disposed through a glass tube such that ends of the optical fibers are exposed from corresponding ends of the glass tube. A solderable fill encompassing each of the optical fibers by filling spaces between each of the optical fibers and between the optical fibers and the glass tube such that the ends of the glass tube include the ends of the optical fibers surrounded by the solderable fill to form an interface around the optical fibers for soldering one of the ends of the glass tube to a solder pad.

Abstract: A system for use in inspection of patterned structures, including a data input utility for receiving first type of data indicative of image data on at least a part of the patterned structure, and a data processing and analyzing utility configured and operable for analyzing the image data, and determining a geometrical model for at least one feature of a pattern in said structure, and using said geometrical model for determining an optical model for second type of data indicative of optical measurements on a patterned structure.

Abstract: Apparatus and methods for shot peening evaluation are disclosed herein. An example apparatus for evaluating a surface that has undergone a shot peening process includes a camera to generate first image data of a first portion of the surface. The example apparatus includes a processor to determine an impact coverage value for the first portion based on the first image data and determine an effectiveness of the shot peening process for the surface based on the impact coverage value.

Abstract: A system for creating component shape data for image processing to be used when performing image recognition of a component to be mounted by a component mounter, the system including: a display section; a wire frame drawing section configured to draw a wire frame on top of the component image, and to move a position of a side of the wide frame in accordance with a drag operation of an operator; a minimum unit specifying section configured to specify a minimum unit for when measuring the shape data of the measurement target portion surrounded by the wire frame; and a component shape data creation section configured to create the component shape data for image processing by measuring with an accuracy using the minimum unit specified by the minimum unit specifying section for the shape data of the measurement target portion surrounded by the wire frame.

Abstract: A method for correcting a processing condition includes imaging a substrate using an imaging device before start and after completion of a series of processings; specifying a processing apparatus estimated as having an abnormality, based on an imaging result and information on the processing apparatus; performing the unit processing in the processing apparatus on an inspection substrate under a predetermined processing condition, and imaging the inspection substrate by the imaging device before and after performing the unit processing; determining presence/absence of an actual abnormality in the processing apparatus specified in the specifying; and correcting, with respect to the processing apparatus determined as having the actual abnormality in the determining presence/absence of an actual abnormality, the processing condition of the unit processing in the processing apparatus based on the imaging result in the imaging the inspection substrate for determining an abnormality.

Abstract: A method, apparatus, and computer-readable medium, for assessing image quality of an image produced by a scanning imaging system. The method comprises acquiring (S10) image data of an image produced by the scanning imaging system and calculating (S20 to S40), for each section of the image: a respective first value measuring at least one of sharpness or contrast of at least a part of the section, the measuring depending on noise, a respective second value measuring noise in at least a part of the section, and a respective third value indicating image quality, by combining the first and second values. The combining is such that calculated third values have a weaker dependency on the noise than the first values. The method further comprises determining (S50) a quality score that is indicative of image quality of the image based on a variation of the calculated third values among the sections.

Abstract: The present invention seeks to provide a method of analyzing medical image, the method comprises receiving a medical image; applying a model stored in a memory; analyzing the medical image based on the model; determining the medical image including a presence of fracture; and, transmitting an indication indicative of the determination.

Abstract: An endoscopic image processing device includes one or more processors. The processors perform: detecting a region of interest for an observation image, the observation image being obtained by picking up an image of an object and being sequentially input to the processors, judging whether detection of the region of interest continues or not to acquire a judgment result, emphasizing with adding visual information for emphasizing a position of the region of interest to the observation image during a period during which the region of interest is detected. The processors cause an appearance of the visual information added to the observation image to differ between a case where the detection of the region of interest continues for a predetermined time period or more and a case where the detection of the region of interest discontinues in a time period shorter than the predetermined time period, based on the judgment result.

Abstract: A computer implemented method and a system choosing optimal disease treatment among several possible treatment options for a patient are provided. The system computes cancer-free survival rates for each considered treatment based on predicting recurrence rate of a disease and/or cancer outcome for a particular patient. The treatment survival models use quantitative data from histopathological images of the patient, clinical data and other patient information. The system segments the histopathological images into biologically meaningful components; automatically determines disease-affected regions in one or more of the segmented image components. The system also partitions the disease-affected regions in each image into a number clusters. Those that are determined to be the most associated with the disease outcome are used as a source of the imaging information for the survival modeling.

Abstract: This disclosure relates to digital image segmentation, region of interest identification, and object recognition. This disclosure describes a method, a system, for image segmentation based on fully convolutional neural network including an expansion neural network and contraction neural network. The various convolutional and deconvolution layers of the neural networks are architected to include a coarse-to-fine residual learning module and learning paths, as well as a dense convolution module to extract auto context features and to facilitate fast, efficient, and accurate training of the neural networks capable of producing prediction masks of regions of interest. While the disclosed method and system are applicable for general image segmentation and object detection/identification, they are particularly suitable for organ, tissue, and lesion segmentation and detection in medical images.

Abstract: A device includes software instructions for a circular plot analysis agent and at least one circular plot definition. The circular plot analysis agent obtains a digital image of a circular plot, detects a perimeter of the circular plot within the digital image, detects a plurality of edges within the perimeter, identifies a set of endpoints on the perimeter as a function of the plurality of edges, generates a plot descriptor from the set of endpoints, and initiates a transaction with a second device as a function of the plot descriptor.

Abstract: An image processing method including acquiring depth information on at least one of a first portion of a specific object included in a target image or a second portion in a region of the target image that excludes the specific object based on reference pattern information, the reference pattern information including first information on a shape of an object included in an image and second information on a relative position between at least two objects included in the image, and applying a dynamic effect to at least one of the first portion or the second portion based on the acquired depth information may be provided.

Abstract: An image tracking method of the present invention includes the following steps: (A) obtaining a plurality of original images by using an image capturing device; (B) transmitting the plurality of original images to a computing device, and generating a position box based on a preset image set; (C) obtaining an initial foreground image including a target object, and an identified foreground image is determined based on a pixel ratio and a first threshold; (D) obtaining a feature and obtaining a first feature score based on the feature of the identified foreground images; and (E) generating a target object matching result based on the first feature score and a second threshold, and recording a moving trajectory of the target object based on the target object matching result.

Abstract: The present disclosure relates to an image processing method, an electronic device and a computer-readable storage medium. A method comprises: acquiring a wide-angle image and a non-wide-angle image acquired by a wide-angle acquisition apparatus and a non-wide-angle acquisition apparatus respectively, a view finding range of the wide-angle image including that of a non-wide-angle image; performing image matching between the wide-angle image and the non-wide-angle image to identify a first sub-image in the wide-angle image corresponding to the non-wide-angle image; cutting out edge images from the wide-angle image, which comprise at least a first edge sub-image and a second edge sub-image at two opposite sides of the first sub-image; stitching the edge images and the non-wide-angle image to obtain a stitched image, wherein the first edge sub-image and the second edge sub-image are stitched to corresponding sides of the non-wide-angle image, respectively; and outputting the stitched image for display.

Abstract: An image processing device includes: an image acquiring unit configured to acquire a plurality of images that are captured with a same angle of view and are different from each other in a wavelength band of illumination light; a processor including hardware. The processor is configured to determine, based on a first image and a second image different from the first image in the plurality of images, whether a first light absorber in a living body in the first image and a second light absorber in a living body in the second image overlap in a depth direction of a living body, and extract light-absorption information as a result of absorption by the first light absorber, by using the first image, the second image, and a determination result.

Abstract: A vegetation index calculation apparatus (10) is provided with a specification unit (11) that collates height distribution data indicating a distribution of the height of plants that exist in a target region with predicted height data of a crop targeted for calculation of a vegetation index, and specifies a region where the crop exists within the target region, and a vegetation index calculation unit (12) that calculates the vegetation index of the crop that exists in the region specified by the specification unit (11).

Abstract: Disclosed techniques relate to forming a block sum of picture elements employing a vector dot product instruction to sum packed picture elements and the mask producing a vector of masked horizontal picture element. The block sum is formed from plural horizontal sums via vector single instruction multiple data (SIMD) addition.

Abstract: An image processing apparatus includes a mobile body, a computer mounted on the mobile body, and a camera mounted on the mobile body. The computer is configured to carry out an image processing method which includes, with respect to each of images captured at different positions, determining an image recognition target region corresponding to a target object in a captured image, determining an image recognition hindrance region within the image recognition target region, and generating an image recognition result, and a likelihood of the image recognition result based on a size of the image recognition hindrance region relative to a size of the image recognition target region. Further, the image processing method includes generating an integrated image recognition result based on image recognition results and likelihoods of respective images.

Abstract: Disclosed is a method, a device, a system and/or a manufacture of object positioning in space for virtual reality. For example, in one embodiment real-time positioning of a person in a hybrid physical and virtual environment is achieved through recognition of graphical markers placed in the physical environment and stored in a recognition library. The method includes capturing a marker with a gyroscopically stabilized camera, normalizing and filtering the image, search and identification of the recognized markers, evaluation of a quality of each recognized marker, selection of a best marker based a quality metric, calculation of a set of physical coordinates of the camera based on the best marker, filtration of the set of physical coordinates, and sending the set of filtered coordinates of the camera through a transceiver to one or more computing devices.

Abstract: The purpose of the present invention is to improve the accuracy of line-of-sight estimation based on an image. A line-of-sight estimation device 100 comprises: an estimation unit 110 which estimates lines of sight from a face included in a face image, using a plurality of estimators; and a determination unit 120 which determines a line of sight for the face on the basis of first condition information including conditions relating to the capture of the face image, and a plurality of sets of second condition information, each including conditions associated with one of the plurality of estimators, and on the basis of a plurality of estimated lines of sight.

Abstract: A computer-implemented method for automatically obtaining pose and shape parameters of a human body. The method includes obtaining a sequence of digital 3D images of the body, recorded by at least one depth camera; automatically obtaining pose and shape parameters of the body, based on images of the sequence and a statistical body model; and outputting the pose and shape parameters. The body may be an infant body.

Abstract: An encoding device includes a voxel-data acquiring unit and an encoding unit. The voxel-data acquiring unit acquires voxel data expressing a three-dimensional object to be fabricated and containing, for each voxel constituting the three-dimensional object, a value of the voxel and link information indicating a link direction of the voxel. The encoding unit encodes the voxel data by setting a code based on a predicting unit that has made a correct prediction of a value of a target voxel among multiple predicting units that predict the value of the target voxel based on a value of at least one reference voxel surrounding the target voxel, the target voxel being encoded based on the link information of the target voxel.

Abstract: A head up display arrangement for a motor vehicle includes a global positioning system module emitting geographic location coordinates associated with the motor vehicle. A database includes lane marking location data stored in association with corresponding geographic location coordinates. An electronic processing device is communicatively coupled to the global positioning system module and to the database. The electronic processing device receives the geographic location coordinates and retrieves from the database lane marking location data stored in association with the received geographic location coordinates. The electronic processing device transmits the retrieved lane marking location data. A head up display is communicatively coupled to the electronic processing device and receives the transmitted lane marking location data. The head up display displays virtual lane markings dependent upon the received lane marking location data.