Abstract: Feature descriptor matching described herein may include receiving a first input image and a second input image. A feature detector may detect features from the first and second input images. A descriptor extractor may learn local feature descriptors from the features of the first and second input images based on a feature descriptor matching model trained using a ground truth data set. The descriptor extractor may determine a listwise mean average precision (mAP) rank of a pool of candidate image patches from the second input image with respect to a queried image patch from the first input image based on the feature descriptor matching model, the first set of local feature descriptors, and the second set of local feature descriptors. The descriptor matcher may generate a geometric transformation between the first input image and the second input image based on the listwise mAP and a convolutional neural network.

Abstract: A device, system, and method to enable the automatic search of personal profiles in the context of on-line dating that includes the ability to select personal profile images which a likelihood of being perceived as attractive to the person conducting the search. Additionally, by way of further non-limiting example, the device, system, and method is useful in applications such as automatically searching hundreds of actor or model headshots and selecting the ones the director/photographer will approve of for a particular photoshoot, film, or commercial.

Abstract: Methods and systems are disclosed for obtaining a first image of a tray, determining a presence or absence of one or more first patterns in the first image, determining a rotation of each the one or more first patterns in the first image, and performing an action based on the presence or absence and the rotation of the one or more first patterns in the first image.

Abstract: To increase accuracy in extracting a foreground area while saving a user time and effort. Image obtaining means of an image processing device obtains an image including a background and an object. Element area setting means sets, with respect to the image, a plurality of element areas respectively corresponding to a plurality of elements in the image. Overlapped area specifying means specifies an overlapped area in which a degree of overlap of the element areas is greater than or equal to a predetermined value in the image. Foreground area extracting means extracts a foreground area corresponding to the object from the image based on the overlapped area.

Abstract: Embodiments herein disclose automated methods and systems to fill background and interstitial space in the visual object layout with one or more colors that bleed/blend into each other. Embodiments herein automate the creation of multi-colored backgrounds for filling the interstitial space.

Abstract: This method for determining a virtual speed vector includes the steps of acquiring (110) a sequences of images of the surrounding environment from an image sensor defining an optical projection center that is substantially stationary relative to the mobile engine, analyzing (120) at least two successive images in order to determine, in each of the two images, a point, called epipole, representing the position in said image of the optical center of the image sensor at the moment of the acquisition of the other image, and for each analyzed image, determining (130) the position of the epipole of said image on a display usable to pilot the mobile engine and displaying (130), on the display, a symbol representative of the virtual speed vector in said position.

Abstract: An image forming apparatus includes an image reading unit, an extraction section, a character recognition section, a search section, an attachment section, and file storage. The image reading unit generates first image information. The extraction section extracts a specific area from the image base on the first image information. The character recognition section generates text information corresponding to information of a character string image included in the specific area. The search section searches for a webpage containing information relating to a meaning of a text indicated by the text information. The attachment section attaches link information of the webpage to the information of the character string image to generate second image information. The file storage section stores the second image information as a file therein. The specific area is an area with a specific mark applied thereto.

Abstract: An electronic device for license plate recognition includes control circuitry and a memory that stores a sequence of image frames. The control circuitry extracts a first set of license plate images from the sequence of image frames and estimates a set of two dimensional (2D) connectionist-temporal-classification (CTC) matrices based on application of a pre-trained CTC-based deep neural network (DNN) on the first set of license plate images. The control circuitry further generates a three dimensional (3D) CTC matrix from the estimated set of 2D CTC matrices and decodes a set of alphanumeric characters of a license plate number of a first license plate. The set of alphanumeric characters are decoded based on a 3D beam search through the generated 3D CTC matrix. The decoded set of alphanumeric characters correspond to maximum likelihood values for the decoded set of alphanumeric characters in the 3D beam search.

Abstract: An electronic device is disclosed. The electronic device includes a camera, a communication module, and a processor. The processor is operably coupled with the camera and the communication module. The processor is configured to obtain a first image corresponding to an external object using the camera. The processor is also configured to generate a second image smaller in data size than the first image using the first image. The processor is further configured to transmit the second image to an external electronic device through the communication module. The processor is also configured to receive correction area information from the external electronic device through the communication module. The correction area information is based on information associated with an image area identified from the second image. The processor is further configured to perform correction using the first image based on at least part of the correction area information.

Abstract: In a method and medical imaging apparatus for providing a range of potential parameters that can be used for recording a future medical image data set, an algorithm is provided to a computer for performing a quantitative analysis of the future medical image data set. The computer is also provided with patient information specifying a status of a patient. In order to reduce a probability of an invalid quantitative analysis, the range of potential parameters is set in the computer by performing the quantitative analysis depending on the patient information.

Abstract: An electronic apparatus is provided. The electronic apparatus according to various embodiments includes a display, a camera configured to photograph a peripheral area of a cleaner, and a processor configured to control to display an image of the peripheral area of the cleaner photographed through the camera, determine an area which has the same pattern as a cleaning object of the cleaner selected by a user input in the peripheral area of the cleaner based on the photographed image, display a mark on an area which has the same pattern as the cleaning object in the photographed image, and display guide information for guiding a movement of the cleaner to the area in which the mark is displayed.

Abstract: Methods, apparatus, and other embodiments predict response to immunotherapy from computed tomography (CT) images of a region of tissue demonstrating non-small cell lung cancer (NSCLC). One example apparatus includes a set of circuits that includes an image acquisition circuit that accesses a CT image of a region of tissue demonstrating cancerous pathology, a tumoral definition circuit that generates a tumoral surface boundary that defines a tumoral volume, a peritumoral segmentation circuit that generates a peritumoral region based on the tumoral surface boundary, and that segments the peritumoral region into a plurality of annular bands, a radiomics circuit that extracts a set of discriminative features from the tumoral volume and at least one of the plurality of annular bands, and a classification circuit that classifies the ROI as a responder or a non-responder, based, at least in part, on the set of discriminative features.

Abstract: A data processing method is described. A processor provides different training data sets to a plurality of graphics processing units (GPUs), respectively. The processor controls the plurality of GPUs to generate respective sets of modification parameters by performing respective training processes in a parallel manner using respectively managed versions of a predictive model according to the corresponding training data sets. The processor controls the plurality of GPUs to exchange, before completion of the respective training processes, at least a portion of the sets of modification parameters that have been generated by the plurality of GPUs. The processor also causes the plurality of GPUs to modify the respectively managed versions of the predictive model according to at least the portion of the sets of modification parameters exchanged among the plurality of GPUs.

Abstract: An evaluation system includes an input unit that inputs a test chart image acquired by imaging a test chart including a plurality of characters, an evaluation unit that evaluates performance of an imaging unit using the test chart image, an image generation unit that generates an evaluation image representing an evaluation of the evaluation unit at each position on the test chart image with a color, and a display unit that displays the evaluation image along with the test chart image or in a superimposed manner on the test chart image.

Abstract: A system (100) for tracking the position and orientation (i.e., the pose) of a medical imaging device (210) is described. The system determines in real time the pose of an imaging medical device based on a combination of image data and sensor data obtained from an imaging medical device and tracking sensors (210) associated with the device. Pose is determined based on a calculated tracking pose change and a calculated image pose change and a determined reliability of the calculated tracking pose change and the calculated image pose change.

Abstract: The present disclosure provides a method and an apparatus for detecting a 3D image, an electronic device, and a computer-readable medium. The method for detecting a 3D image includes layering a 3D image to obtain at least one 3D subimage. The 3D subimage contains a plurality of 2D images. The method includes performing an intra-layer clustering on the 3D subimage to obtain a superpixel grid. The method includes inputting the superpixel grid into a neural network for detecting. The method includes detecting, in response to detecting an object in the superpixel grid, the 3D subimage forming the superpixel grid containing the object to obtain and output a detection result.

Abstract: A system and method to check for flow anomalies, such as leaks, in a washer system includes collecting sound information originating from the washer system and collecting an image of the washer system. The system and method are configured to determine a location of a flow anomaly in the washer system based on the sound information and the image of the washer system.

Abstract: An endoscope system includes a processor and displays a distribution image of living substance feature amounts obtained from an imaged image of a living tissue. The processor calculates the living substance feature amount in the living tissue, for example, an amount of hemoglobin and oxygen saturation of the hemoglobin using components of color image data of the living tissue illuminated with at least two lights, generates the feature amount distribution image illustrating a distribution of the living substance feature amounts, and controls display of the feature amount distribution image in order to display the generated feature amount distribution image so as to be superimposed on the image of the living tissue.

Abstract: An information processing device includes a display controller that displays a term expression expressing a term which appears in target data, on a display in a display mode based on a level of liveliness of the target data when the term appears.

Abstract: Methods and systems for overlay imaging for registration of a patient eye for laser surgery include aligning and overlaying a surgical image of the limbus over a previously acquired diagnostic image of the limbus. The surgical image is displayed with a degree of transparency and enabled to rotate about the limbus center. Various types of colors, markers, contrast, and backgrounds may be used to generate a display for determining the alignment angle between the diagnostic image and the surgical image.