Abstract: A computer-implemented method of selecting a sequence of images of a user's eye for an eye tracking application wherein each image is captured when a stationary stimulus point is displayed to the user, the method comprising: for a plurality of different pairs of the images: comparing the pair of images with each other to determine an image-score that represents a degree of difference between the compared images; and calculating a sequence-score based on the image-scores for the plurality of pairs of images.

Abstract: Systems and methods for performing visual odometry more rapidly. Pairs of representations from sensor data (such as images from one or more cameras) are selected, and features common to both representations of the pair are identified. Portions of bundle adjustment matrices that correspond to the pair are updated using the common features. These updates are maintained in register memory until all portions of the matrices that correspond to the pair are updated. By selecting only common features of one particular pair of representations, updated matrix values may be kept in registers. Accordingly, matrix updates for each common feature may be collectively saved with a single write of the registers to other memory. In this manner, fewer write operations are performed from register memory to other memory, thus reducing the time required to update bundle adjustment matrices and thus speeding the bundle adjustment process.

Abstract: Monitoring the quality of sleep of an individual is essential for ensuring one's overall well-being. The existing methods for non-apnea sleep arousal detection are manual. A system and method for the non-apnea sleep arousal detection has been provided. The method uses a feature engineering based binary classification approach for distinguishing non-apnea arousal and non-arousal. A training data set is prepared using a plurality of physiological signals. A plurality of features are derived from the training data set. Out of those only a set of features are selected for training a plurality of random forest classifier models. A test sample is then provided to the plurality of random forest classifier models in the instances of fixed duration. This results in generation of prediction probabilities for each instances. The prediction probabilities are then used to predict the probabilities of non-apnea sleep arousal in the test sample.

Abstract: An electronic device and a model updating method are provided. The method includes: inputting a plurality of files to a first model and outputting a predicted result of each of the plurality of files; receiving a corrected result for correcting the prediction result of at least one first file in the plurality of files, and generating a first label file corresponding to the at least one first file according to the corrected result and the first file; training a plurality of models according to the first label file to generate a plurality of a trained model; testing the plurality of trained models using at least one test set; and replacing the first model with a first trained model when the predicting accuracy of the first trained model of the plurality of trained models is higher than the predicting accuracy of the first model.

Abstract: An information processing system configured to perform predetermined processing based on out-of-focus information corresponding to a first area of an image, the out-of-focus information corresponding to a difference in focus between the first area of the image and a second area of the image that is different from the first area of the image.

Abstract: Techniques for efficiently identifying objects of interest in an environment and, thereafter, determining the location and/or orientation of those objects. As described below, a system may analyze images captured by a camera to identify objects that may be represented by the images. These objects may be identified in the images based on their size, color, and/or other physical attributes. After identifying these potential objects, the system may define a region around each object for further inspection. Thereafter, portions of a depth map of the environment corresponding to these regions may be analyzed to determine whether any of the objects identified from the images are “objects of interest”—or objects that the system has previously been instructed to track. These objects of interest may include portable projection surfaces, a user's hand, or any other physical object. The techniques identify these objects with reference to the respective depth signatures of these objects.

Abstract: A display panel including a display function layer displaying an image in a display area, a cover member including a first face and a second face disposed on an opposite side of the first face and faces the display panel, and a fingerprint sensor including a plurality of first detection electrodes disposed in a sensor base and configured to detect unevenness of an object brought into contact with or approaching the first face of the cover member, a shield electrode disposed to face the plurality of first detection electrodes and configured to suppress a change in capacitance between the first detection electrodes and the shield electrode, and switching elements disposed in correspondence with the first detection electrodes, the fingerprint sensor being arranged between the cover member and the display panel and arranged to overlap with the display area when viewed in a direction perpendicular to the first face are included.

Abstract: A method, system and computer-readable storage medium for performing a cognitive information processing operation.

Abstract: A system and method include obtaining and authenticating image files from users such as insured users at the request of an entity such as an insurance provider. The requesting entity may supply an electronic address of the user and a unique identifier. The system may transmit a link to the electronic address. When selected, the link causes an image authentication application to be installed on a user device. The application takes the images securely and separately from a native camera application. Each image authentication application may be customized for each requesting entity. The authentication server may identify the requesting entity that made the request and identify a corresponding image authentication application to be provided to the electronic address. The images from the image authentication application may be authenticated via reverse image search, time, geolocation, and/or other information. The authenticated images and/or related data may be provided to the requesting entity.

Abstract: There is provided a video signal processing apparatus, including: a first interface configured to obtain a first video signal imaged within a first dynamic range; a second interface configured to obtain information for specifying a partial area of the obtained first video signal; and an arithmetic processing circuit configured to calculate a representative value of brightness of the first video signal of the partial area, to compress a dynamic range of the first video signal depending on the calculated representative value, and to generate a second video signal, a dynamic range of the second video signal being restricted to a second dynamic range narrower than the first dynamic range.

Abstract: A LUS robotic surgical system is trainable by a surgeon to automatically move a LUS probe in a desired fashion upon command so that the surgeon does not have to do so manually during a minimally invasive surgical procedure. A sequence of 2D ultrasound image slices captured by the LUS probe according to stored instructions are processable into a 3D ultrasound computer model of an anatomic structure, which may be displayed as a 3D or 2D overlay to a camera view or in a PIP as selected by the surgeon or programmed to assist the surgeon in inspecting an anatomic structure for abnormalities. Virtual fixtures are definable so as to assist the surgeon in accurately guiding a tool to a target on the displayed ultrasound image.

Abstract: According to one embodiment, a measurement method includes: acquiring a first picture including a background image and a substance, the substance allowing transmission of light from the background image; acquiring a second picture including the background image and the substance in a different positional relation with respect to the first picture; and calculating a first displacement amount representing a difference in position of the background image between the first picture and the second picture.

Abstract: An imaging device for monitoring a skin feature includes a camera, at least one processor and memory. The imaging device displays a body area guide, receives a selection of a body area, initiates an image sequence of the body area, the image sequence including capturing, using the camera, a plurality of images, determines whether all body areas have been imaged, analyzes the images, and provides the analyzed images to a clinician. The imaging device can be part of a system including a server in communication with a monitor, where the clinician views the images on the monitor. Additionally, each skin feature can be ranked in order of risk and presented to the clinician in that order.

Abstract: Some implementations may include a computer-assisted method for authenticating a person at a point of service, the method including: receiving a digital identification document including a digital biometric of the person and a digital watermark, the digital watermark encoding personally identifiable information of the person; retrieving the digital watermark from the received digital identification document; extracting the personally identifiable information from the retrieved digital watermark; and authenticating the person identified by the digital biometric based on the retrieved digital watermark.

Abstract: Disclosed is apparatus for inspecting a sample. The apparatus includes illumination optics for simultaneously directing a plurality of incident beams at a plurality of azimuth angles towards a sample and collection optics for directing a plurality of field portions of output light from two or more of the plurality of angles towards two or more corresponding sensors. The two or more sensors are arranged for receiving the field portions corresponding to two or more angles and generating two or more corresponding images. The apparatus further comprises a processor for analyzing the two or more images to detect defects on the sample.

Abstract: The technology disclosed relates to structured illumination microscopy (SIM). In particular, the technology disclosed relates to capturing and processing, in real time, numerous image tiles across a large image plane, dividing them into subtiles, efficiently processing the subtiles, and producing enhanced resolution images from the subtiles. The enhanced resolution images can be combined into enhanced images and can be used in subsequent analysis steps. The technology disclosed includes logic to reduce computing resources required to produce an enhanced resolution image from structured illumination of a target. A method is described for producing an enhanced resolution image from images of a target captured under structured illumination. This method applies one or more transformations to non-redundant data and then recovers redundant data from the non-redundant data after the transformations.

Abstract: There are described herein methods and system for generating an inspection image of an object from radiographic imaging. The method comprises obtaining a plurality of digital images of the object positioned between a radiation source and a photon beam detector, the digital images taken at different object-detector distances or source-detector distances to create unique grain diffraction patterns in each one of the digital images, and forming the inspection image from image features common to the digital images at a common scale and removing the unique grain diffraction patterns.

Abstract: Methods, systems, and apparatus, including medium-encoded computer program products, for pre-processing image data before 3D object tracking includes, in at least one aspect, a method including: receiving, at a first computer, image frames from a camera; identifying, by the first computer, locations of interest in the image frames; finding sequences of the locations, wherein each of the sequences satisfies a motion criterion for locations identified in at least three image frames from the camera; and sending output data for the sequences of the locations to a second computer for processing the sequences in the output data by interpolating between specified 2D positions in specific image frames for the sequences, using timestamps of the specific image frames, to produce a virtual 2D position at a predetermined point in time, which is usable for constructing a 3D track of a ball in motion.

Abstract: A camera calibration system according to an exemplary embodiment includes a first camera capturing the surroundings of a vehicle; a second camera capturing the surroundings of the vehicle and having an overlapping field of view that overlaps with a field of view of the first camera; and a controller configured to receive a first image obtained by the first camera and a second image obtained by the second camera, detect a plurality of calibration markers positioned in the overlapping field of view in the first image and assign a tag to each of the plurality of calibration markers detected in the first image, detect a plurality of calibrate markers positioned in the overlapping field of view in the second image and assign a tag to each of the plurality of calibrate markers detected in the second image, and calibrate the field of view of at least one of the first camera and the second camera based on the tag assigned to each of the plurality of calibration markers detected in the first image and the tag assigned

Abstract: The disclosure relates to method and system for image scaling. The method includes determining a nature of image scaling required to be performed on an input image based on a vertical scaling ratio and a horizontal scaling ratio and includes determining if the image scaling is an upscaling or a downscaling, a symmetric scaling or an asymmetric scaling. The method further includes determining an overall scaling ratio based on a lower or an equal of the vertical scaling ratio and the horizontal scaling ratio. The method further includes scaling an input image to a target image using a polyphase finite impulse response (FIR) scaling filter based on the nature of the image scaling, the overall scaling ratio, and a structure of the polyphase FIR scaling filter. The scaling includes dynamically performing at least one of duplication of lines, addition of filler lines, duplication of pixels, and addition of filler pixels.