Abstract: Missing image content is generated using a neural network. In an embodiment, a high resolution image and associated high resolution semantic label map are generated from a low resolution image and associated low resolution semantic label map. The input image/map pair (low resolution image and associated low resolution semantic label map) lacks detail and is therefore missing content. Rather than simply enhancing the input image/map pair, data missing in the input image/map pair is improvised or hallucinated by a neural network, creating plausible content while maintaining spatio-temporal consistency. Missing content is hallucinated to generate a detailed zoomed in portion of an image. Missing content is hallucinated to generate different variations of an image, such as different seasons or weather conditions for a driving video.

Abstract: A method including, accessing an occupancy of the workspace. The method also includes, in response to the occupancy status indicating vacancy: at a first time, recording a first image and a second image of the workspace, the first image and the second image characterized by a first resolution; and executing an arrival detection model based on the first and second image. The method further includes, in response to detecting arrival at the workspace: at a third time, recording a third image of the workspace, the third image characterized by a second resolution greater than the first resolution; and executing an occupancy detection model based on the third image. The method additionally includes, in response to detecting occupancy of the workspace: updating the occupancy status to indicate occupancy; and transmitting the occupancy status to a remote scheduling system.

Abstract: An image processing apparatus according to an embodiment includes a processing circuitry. The processing circuitry is configured to generate a first calculated image and a second calculated image through calculation using data obtained through an imaging in which magnetic resonance signals used for deriving a tissue quantitative value are acquired, wherein a signal value of a tissue other than a suppression-target tissue which is a target to be suppressed is low on the second calculated image as compared to the first calculated image. The processing circuitry is configured to generate a difference image between the first calculated image and second calculated image so as to generate an image on which a signal value of a tissue with a long relaxation time is suppressed.

Abstract: A method, system, device, and/or a non-transitory computer readable medium to provide a customized application associated with a television experience based on the recognition of users located in front of a television display and in the field of view of a camera. The method may include performing an initializing operation, the initializing operation including enrolling a plurality of users in a database of a computer system, acquiring a wide image using the camera and scanning the wide image for biometric information; and performing an identification operation requested by the application including, acquiring a second wide image with the camera, extracting an active area from the second wide image, storing the extracted active area as a second fast scanning area image, and extracting the biometric data of a face appearing in the second fast scanning area image.

Abstract: Provided is a stroke diagnosis apparatus based on AI that includes: an image obtainer obtaining a non-contrast CT image related to the brain of at least one patient; a preprocessor pre-processing the non-contrast CT image and determining whether the at least one patient is in a non-hemorrhage state or a hemorrhage state on the basis of the pre-processed image; an image processor normalizing the pre-processed image and dividing and extracting an ROI (Region of Interest) using a preset standard mask template; and a determiner determining whether there is a problem with a cerebral large vessel of the at least one patient using the divided and extracted ROI.

Abstract: The present disclosure relates to processing operations configured for an image recognition pipeline that is used to tailor real-time management of image recognition processing for technical scenarios across a plurality of different applications/services. Image recognition processing is optimized at run-time to ensure that latency requirements are met so that image recognition processing results are returned in a timely manner that aids task execution in an application-specific instances. An image recognition pipeline may manage a plurality of image recognition models that comprise a combination of image analysis service (IAS) models and deep learning models.

Abstract: Estimation of the ground plane of a three dimensional (3D) point cloud based modifications to the random sample consensus (RANSAC) algorithm is provided. The modifications may include applying roll and pitch constraints to the selection of random planes in the 3D point cloud, using a cost function based on the number of inliers in the random plane and the number of 3D points below the random plane in the 3D point cloud, and computing a distance threshold for the 3D point cloud that is used in determining whether or not a 3D point in the 3D point cloud is an inlier of a random plane.

Abstract: A system for dynamically tracking and indicating a path of an object comprises an object position system for generating three-dimensional object position data comprising an object trajectory, a software element for receiving the three-dimensional object position data, the software element also for determining whether the three-dimensional object position data indicates that an object has exceeded a boundary, and a graphics system for displaying the object trajectory.

Abstract: A process determines a position of an image capture device with respect to a physical object. The position corresponds to a vantage point for an initial image capture of the physical object performed by the image capture device at a first time. Further, the process generates an image corresponding to the position. In addition, the process displays the image on the image capture device. Finally, the process outputs one or more feedback indicia that direct a user to orient the image capture device to the image for a subsequent image capture at a second time within a predetermined tolerance threshold of the vantage point.

Abstract: A vehicle and a method for controlling the same are disclosed, which determine a region of interest (ROI) in a forward-view image based on braking information and steering information of the vehicle, and obtain driving assistance information from the ROI image. The vehicle includes an image acquisition part configured to acquire a forward-view image by capturing an image about a forward region of a vehicle, a steering information acquisition part configured to acquire steering information by detecting a steering direction and a steering angle of the vehicle, a braking information acquisition part configured to acquire braking information by detecting a braking or non-braking state and a braking deceleration of the vehicle, and a controller configured to determine a region of interest (ROI) within the forward-view image based on at least one of the steering information and the braking information of the vehicle.

Abstract: A method includes receiving image data at a first tracking system. The image data represents a region in an image of a sequence of images. The method also includes generating a first tracking fingerprint based on the image data. The method further includes comparing the first tracking fingerprint and a second tracking fingerprint. The method also includes providing an output from the first tracking system to a second tracking system based on a result of the comparison of the first tracking fingerprint and the second tracking fingerprint. The output includes an instruction associated with an object model stored at the second tracking system.

Abstract: A high content analysis computing system, computer program product and method provides receiving two or more sets of microscopic images of respective sites of selected biological cell assay. Each set of microscopic images comprises one or more images having an aggregate field of view sufficient to encompass all of the cells within the respective site and a resolution sufficient to image cellular bodies within each of encompassed cells. For each set of microscopic images, a library of algorithms is executed that evaluate image features for each cell in each site producing a quantified feature measurement for each cell. Quantified feature measurements are compared for each one of the two or more sets of microscopic images. A subset of the library of algorithms is identified that discriminate at least two of the two sets or more microscopic images and deployed as a computer program product for evaluating additional biological cell assays.

Abstract: Disclosed are various embodiments for optimizing cubic utilization when loading packages into a loading space. A current loading configuration of the loading space can be determined according to image data obtained by 3D sensors. Package data (e.g., volume, mass, type, dimensions, etc.) can be determined for incoming packages to be loaded into the package data. The current loading configuration and the package data are used to determine a package sequence and optimal placement location for the next package to be loaded such that a cubic efficiency of the loading space is maximized and amount of air gaps between packages is minimized.

Abstract: The present disclosure relates to a method, system and non-transitory computer readable medium. In some embodiments, the method includes: acquiring image data of a target subject positioned on a scanning table; determining, by a processor, first position information of the target subject based on the image data; determining, by the processor, second position information related to a scan region of the target subject based on the image data; and scanning, using an imaging device, the target subject based on the first position information and the second position information.

Abstract: Provided is an image processing device including: a memory; and a processor comprising hardware, the processor configured to: calculate a feature value; detect, as peak positions, pixel positions the feature value of which are greater than a prescribed feature value threshold value; record the detected peak positions; form, one at a time for the detected peak positions, a cell region; identify a center position of the formed cell region; determine, by using at least one of the peak position, a morphology of the cell region, and the center position of the cell region, a proximity state between the currently formed cell region and a previously formed cell region; and correct, when it is determined that the proximity state is satisfied, at least one of the currently formed cell region and the previously formed cell region.

Abstract: A method, a computer readable medium, and a system for cell annotation are disclosed. The method includes receiving at least one new cell image for cell detection; extracting cell features from the at least one new cell image; comparing the extracted cell features to a matrix of cell features of each class to predict a closest class, wherein the matrix of cell features has been generated from at least initial training data comprising at least one cell image; detecting cell pixels from the extracted cell features of the at least one new cell image using the predicted closest class to generate a likelihood map; extracting individual cells from the at least one cell image by segmenting the individual cells from the likelihood map; and performing a machine annotation on the extracted individual cells from the at least one new cell image to identify cells, non-cell pixels, and/or cell boundaries.

Abstract: An image processing system and method for determining one or more attributes of a fashion apparel is provided. The system includes a pattern template. The pattern template further includes a plurality of patterns and the fashion apparel is positioned on top of the patterned template. The system further includes an imaging device configured to capture an image of the fashion apparel positioned on top of the pattern template. In addition, the system includes a size and color determination module coupled to the imaging sensor and configured to receive the image and extract a size and a color of the fashion apparel by using the plurality of patterns in the pattern template.

Abstract: A system for visibility enhancement comprises a first sensor means comprising a camera adapted to record at least one image. A second sensor means is adapted to generate at least one position profile of at least one object located within a critical range of the first sensor means. An image processing means is adapted to receive a first input signal from the first sensor means containing the at least one image and a second input signal from the second sensor means containing the at least one position profile of the at least one object located within the critical range. The image processing means further manipulates the at least one image to generate a manipulated image by altering the contrast of that part of the image that shows the at least one object located within the critical range. A corresponding method of visibility enhancement is also disclosed.

Abstract: Methods and systems integrate digital fingerprint authentication-based identification and location tracking into a single, continuous process in which an authentication-integrated tracking system is simultaneously aware of both the identity and location of each physical object at all times as they move along a conveyance system. Insertion or removal of an object is quickly detected and reported. Rapid reestablishment and continuation of authentication-integrated tracking is enabled in the event of any temporary interruption or failure of tracking in the system. An exemplary system comprises plural tracking units networked together, each tracking unit including a camera or scanner to observe a corresponding field of view, the tracking units arrange to realize a continuous field of view of a physical conveyance system.

Abstract: A medical device monitoring system and method extract information from screen images from medical device controllers, with a single OCR process invocation per screen image, despite critical information appearing in different screen locations, depending on which medical device controller's screen image is processed. For example, different software versions of the medical device controllers might display the same type of information in different screen locations. Copies of the critical screen information, one copy from each different screen location, are made in a mosaic image, and then the mosaic image is OCR processed to produce text results. Text is selectively extracted from the OCR text results, depending on contents of a selector field on the screen image, such as a software version number or a heart pump model identifier.