Abstract: An exemplary embodiment of the present inventive concept provides a display device including: a display unit including a plurality of pixels disposed on a display area; a display controller configured to control the display unit; a sensor including a plurality of first sensing electrodes and a plurality of second sensing electrodes disposed in the display area; and a sensor controller configured to recognize a touch of a user inputted into the sensor in a touch sensing mode and to recognize a fingerprint of the user inputted into the sensor in a fingerprint sensing mode, wherein the sensor controller changes a mode to the fingerprint sensing mode when no touch is inputted for a predetermined time period in the touch sensing mode and changes the mode to the touch sensing mode when authorization on a fingerprint inputted into the sensor is succeeded in the fingerprint sensing mode.

Abstract: A data verification method is provided. Fingerprint information of N (N being an integer greater than 1) slices of to-be-sent data of a second device is received, the fingerprint information including first fingerprint information corresponding to an ith (i being an integer greater than 1) slice of the to-be-sent data and second fingerprint information corresponding to an (i?1)th slice of the to-be-sent data. The first fingerprint information is based on updating, by using the ith slice of the to-be-sent data, the second fingerprint information. An ith slice of data is received from the second device. The received second fingerprint information is updated by using the ith slice of data, to obtain third fingerprint information. Data verification failure indication information is transmitted to the second device in response to the third fingerprint information not matching the received first fingerprint information.

Abstract: Systems and methods for optical imaging using an optical sensor in an active area of the display are described. The optical sensor includes a set of detector elements positioned in a detector plane; a transparent layer; and a set of first reflective surfaces in the transparent layer. Each reflective surface in the first set of reflective surfaces is positioned to receive light from a portion of a sensing region of the display and to reflect the received light. The optical sensor further includes a second set of reflective surfaces, each reflective surface in the second set of reflective surfaces is positioned to receive the transmitted light from the first set of reflective surfaces, and to further reflect the received light towards one of the set of detector elements.

Abstract: Systems and methods are disclosed for processing an electronic image corresponding to a specimen. One method for processing the electronic image includes: receiving a target electronic image of a slide corresponding to a target specimen, the target specimen including a tissue sample from a patient, applying a machine learning system to the target electronic image to determine deficiencies associated with the target specimen, the machine learning system having been generated by processing a plurality of training images to predict stain deficiencies and/or predict a needed recut, the training images including images of human tissue and/or images that are algorithmically generated; and based on the deficiencies associated with the target specimen, determining to automatically order an additional slide to be prepared.

Abstract: This invention provides a system and method for finding line features in an image that allows multiple lines to be efficiently and accurately identified and characterized. When lines are identified, the user can train the system to associate predetermined (e.g. text) labels with respect to such lines. These labels can be used to define neural net classifiers. The neural net operates at runtime to identify and score lines in a runtime image that are found using a line-finding process. The found lines can be displayed to the user with labels and an associated probability score map based upon the neural net results. Lines that are not labeled are generally deemed to have a low score, and are either not flagged by the interface, or identified as not relevant.

Abstract: A method for determining image values in marked pixels of at least one projection image is provided. The at least one projection image is part of a projection image set provided for reconstruction of a three-dimensional image dataset and acquired in each case using a projection geometry in an acquisition procedure. The image values are determined through evaluation of at least one epipolar consistency condition that is to be at least approximately fulfilled, that results from the projection geometries of the different projection images of the projection image set, and that requires the agreement of two transformation values in transformation images determined from different projection images by Radon transform and subsequent derivation as a condition transformation.

Abstract: Disclosed is a signal processing device, method of enhancing image signal, and an image display apparatus including the same. The signal processing device and the image display apparatus comprises: an image analyzer configured to receive a first image signal corresponding to displaying at least an object and a background, identify information of the object from the first image signal, and identify information of the background from the first image signal, and an object stereoscopic effect enhancement unit for enhancing the first image signal and configured to determine a sharpness of the object using the identified information of the object, increase contrast of the object to enhance the first image signal using the identified information of the object based on the determined sharpness, decrease luminance of the background in the enhanced first image signal using the identified information of the background based on the determined sharpness, and output the enhanced first image signal.

Abstract: An imaging apparatus that starts connecting processing at a synthesizing position in an early stage is provided. The imaging apparatus includes: a first imaging element that images a first imaging range, a second imaging element that images a second imaging range of which one part overlaps with the first imaging range, and a synthesizing unit that synthesizes an image corresponding to an imaging range wider than the first imaging range or the second imaging range, based on pixel data groups output by the first imaging element and the second imaging element, wherein the first imaging element and the second imaging element output pixel data corresponding to a position at which the first imaging range and the second imaging range overlap each other, to a synthesizing unit prior to other pixel data.

Abstract: Described herein are systems and methods of determining a pose of a camera within a vehicle scene. In one embodiment, a method includes the initial step of capturing an image of the vehicle scene from the camera. At step, reference data indicative of the vehicle scene is loaded, the reference data includes positions and orientations of known features within the vehicle scene. Next, at step, the geometric appearance of one or more of the known features is identified within the image. Finally, at step, the three dimensional position and orientation of the camera relative to the known features identified in step c) is determined from the geometric appearance, and a pose of the camera within the vehicle scene is calculated.

Abstract: The present disclosure relates to a system and method for codebook construction and use thereof in image quality assessment. A codebook including a plurality of code words may be provided. Each one of the plurality of code words may have a reference score relating to image quality. A test image may be acquired. One or more feature vectors may be extracted from the test image based on statistical independence between neighboring divisive normalization transform coefficients of the test image. A score may be generated based on a comparison between the extracted feature vectors of the test image and at least some of the plurality of code words in the codebook and the corresponding reference scores of the code words.

Abstract: A non-transitory computer readable medium embodies instructions that cause one or more processors to perform a method. The method includes: (A) receiving a selection of a 3D model stored in one or more memories, the 3D model corresponding to an object, and (B) setting a camera parameter set for a camera for use in detecting a pose of the object in a real scene. The method also includes (C) receiving a selection of data representing a view range, (D) generating at least one 2D synthetic image based on the camera parameter set by rendering the 3D model in the view range, (E) generating training data using the at least one 2D synthetic image to train an object detection algorithm, and (F) storing the generated training data in one or more memories.

Abstract: Embodiments of the present application disclose a picture file processing method, device, and computer storage medium. The method includes the following steps: generating, by a transmitter, a picture header information data segment of a picture file according to the picture file, and converting each image frame in the picture file into YUV data; encoding the YUV data to generate data stream, generating compressed image data, and sending the compressed image data to a receiving device, the compressed image data including the picture header information data segment and the data stream; receiving, by the receiving device, the compressed image data, and parsing the compressed image data to acquire the picture header information data segment and the data stream; and generating, by the receiving device, the YUV data according to the data stream, and processing the YUV data based on the picture header information data segment to generate the picture file.

Abstract: This invention provides a system and method for finding multiple line features in an image. Two related steps are used to identify line features. First, the process computes x and y-components of the gradient field at each image location, projects the gradient field over a plurality subregions, and detects a plurality of gradient extrema, yielding a plurality of edge points with position and gradient. Next, the process iteratively chooses two edge points, fits a model line to them, and if edge point gradients are consistent with the model, computes the full set of inlier points whose position and gradient are consistent with that model. The candidate line with greatest inlier count is retained and the set of remaining outlier points is derived. The process then repeatedly applies the line fitting operation on this and subsequent outlier sets to find a plurality of line results. The process can be exhaustive RANSAC-based.

Abstract: An image processing device includes: a controller; and memory storing instructions that, when executed by the controller, cause the controller to perform operations including: acquiring target image data, in which a target image based on the target image data includes a plurality of partial images including a barcode; specifying the barcode in the target image; deciding a first direction being a direction perpendicular to bars making at least one specified barcode; specifying a blank range where the partial image is not positioned in the first direction and an object range where the partial image is positioned in the first direction; separating the target image to one or more separated target images in accordance with the specified blank range and the specified object range, the separated target image including the object range and excluding the blank range; and outputting image data corresponding to the separated target images.

Abstract: There is provided a computer implemented method for localizing target anatomical regions of interest (ROI) of a target individual, comprising: uniformly sub-sampling a plurality of 2D images having sequential index numbers within a 3D anatomical volume, feeding the plurality of sampled 2D images into a classifier for outputting a plurality of values on a normalized anatomical scale, fitting a linear model to the plurality of values and corresponding sequential index numbers, mapping by the linear model, the plurality of 2D images to the normalized anatomical scale, receiving an indication of at least one target anatomical ROI of a target individual, wherein each target anatomical ROI is mapped to the normalized anatomical scale, and providing a sub-set of the plurality of 2D images having values of the normalized anatomical scale corresponding to the received at least one target anatomical ROI.

Abstract: The present application provides an object tracking method and system. The method includes: receiving an object tracking request and characteristic information of an object to be tracked sent from an object management server; determining a search area indicating a potential position area of the object based on the received characteristic information and establishing a search terminal group within the search area, the search terminal group comprising one or more search terminals located within the search area; performing an object position information acquisition process thereby acquiring object position information indicating a position of the object from object information sent from a search terminal in the search terminal group; and determining a trace of the object based on the acquired object position information.

Abstract: A method for training a convolutional neural network for classification of actions performed by subjects in a video is realized by (a) for each frame of the video, for each key point of the subject, generating a heat map of the key point representing a position estimation of the key point within the frame; (b) colorizing each heat map as a function of the relative time of the corresponding frame in the video; (c) for each key point, aggregating all the colorized heat maps of the key point into at least one image representing the evolution of the position estimation of the key point during the video; and training the convolutional neural network using as input the sets associated to each training video of images representing the evolution of the position estimation of each key point during the video.

Abstract: A method for determining eye openness with an eye tracking device is disclosed. The method may include determining, for pixels of an image sensor of an eye tracking device, during a first time period when an eye of a user is open, a first sum of intensity of the pixels. The method may also include determining, during a second time period when the eye of the user is closed, a second sum of intensity of the pixels. The method may further include determining, during a third time period, a third sum of intensity of the pixels. The method may additionally include determining that upon the third sum exceeding a fourth sum of the first sum plus a threshold amount, that the eye of the user is closed, the threshold amount is equal to a product of a threshold fraction and a difference between the first sum and the second sum.

Abstract: Content can be located for items that are stylistically similar to an item of interest. The item of interest can be represented in a query image, which is analyzed to determine one or more regions having an item represented therein. The classification of the item is determined, enabling identification of a trained model to be used to process image data for the region(s) of the query image. The trained model outputs a set of attributes, relating to visual or stylistic attributes, and corresponding confidence or prominence values for the attributes. These attributes and values can be compared against a data repository to locate items determined to be similar based on corresponding attributes and values. A similarity determination algorithm can identify similar items and rank those items by similarity. Content for the most similar items is returned as a result for the query image.

Abstract: There is provided an image processing apparatus including a control unit that acquires document image data generated by reading a document and recognizes character strings included in the document image data by character recognition and a storage unit that stores a specific rule for extracting an issuer of the document, in which the control unit extracts a first character string from the character strings included in the document image data based on the specific rule, extracts a second character string which matches at least a part of the first character string from a portion other than the first character string among the character strings included in the document image data, and determines the first character string or the second character string as the issuer.