Abstract: The present invention is directed to communication systems and methods. According to an embodiment, a receiving optical transceiver determines signal quality for signals received from a transmitting optical transceiver. Information related to the signal quality is embedded into back-channel data and sent to the transmitting optical transceiver. The transmitting optical transceiver detects the presence of the back-channel data and adjusts one or more of its operating parameters based on the back-channel data. There are other embodiments as well.

Abstract: In various embodiments, a first plurality of digital images captured by a first camera (256, 456, 1156) of a first area may be categorized (1202-1210) into multiple predetermined categories based on visual attribute(s) of the first plurality of digital images. A second plurality of digital images captured by a second camera (276, 376, 476, 1176) of a second area may be categorized (1302-1310) into the same predetermined categories based on visual attribute(s) of the second plurality of digital images. After the second camera acquires (1402) a subsequent digital image depicting an unknown subject in the second area, the subsequent digital image may be categorized (1404-1406) into a given one of the predetermined categories based on its visual attribute(s), and then adjusted (1408) based on a relationship between the first plurality of digital images categorized into the given category and the second plurality of digital images categorized into the given category.

Abstract: A method of filtering a fingerprint image is provided. The method includes: receiving an input fingerprint image; preliminarily filtering the input fingerprint image to obtain a preprocessed image; normalizing and then filtering the preprocessed image to obtain a denoised image; filtering and then segmenting the preprocessed image to obtain a background mask; postprocessing the background mask to obtain a final mask; and applying the final mask to the denoised image to obtain an output fingerprint image.

Abstract: A system, apparatus, and method for an optical grooming network; wherein a set of switches form an optical grooming interconnection system where each switch is communicatively coupled to each other switch; a set of clients; where each switch of the set of switches is communicatively coupled to a client of the clients; wherein each client receiver is enabled to communicate through the set of switches to any client or modem; and a set of coherent optical modems; wherein each coherent optical modem is communicatively coupled to a switch of the set of switches; wherein each client of the clients is able to communicate through the set of switches to every coherent optical modem of the set of coherent optical modems, and each coherent optical modem in the set of coherent optical modems can communicate to every coherent optical modem of the set of coherent optical modems.

Abstract: Methods, devices, and systems related to determining biometric data using an array of infrared (IR) illuminators are described. In an example, a method can include projecting a number of IR dots on a user using a dot projector and an array of IR illuminators, capturing an IR image of the number of IR dots using an IR camera, comparing a number of pixels of the captured IR image to a number of corresponding pixels of a baseline IR image using a processing resource, and determining biometric data of the user at least partially based on comparing the captured IR image to the baseline IR image using the processing resource.

Abstract: An image processing apparatus includes a memory configured to store first region detection information corresponding to at least one object of a first frame, and a processor configured to perform region growing processing based on a seed region identified from a second frame and the first region detection information, obtain second region detection information corresponding to at least one object of the second frame, and perform image processing on the second frame based on the second region detection information.

Abstract: This optical path setting device comprises: a transmission characteristic calculating means for calculating an inter-endpoint transmission characteristic that is a characteristic for transmission between endpoints of an optical path accommodating traffic in a plurality of optical communication systems; a required wavelength bandwidth determining means for determining a required wavelength bandwidth that is a wavelength bandwidth meeting an arrival performance of the optical path on the basis of the inter-endpoint transmission characteristic; and an accommodating wavelength band determining means for determining, as an accommodating wavelength band for accommodating the optical path, a common wavelength band that is a wavelength band where an optical path having the required wavelength bandwidth can be allocated, and that is common to the plurality of optical communication systems.

Abstract: A railroad track recognition apparatus has an index calculating unit, an initial searching unit, a secondary searching unit, and a railroad track recognizing unit. The index calculating unit calculates an index value, for each pixel or pixel group of a captured image. The initial searching unit selects a line segment, having a larger evaluation value obtained from the index values, from a plurality of line segments in a first search area, and the secondary searching unit selects a line segment, having a larger evaluation value obtained from the index values, from a second area or a third area. The railroad track recognizing unit recognizes a railroad track based on reference points of the line segments selected by the initial and secondary searching units.

Abstract: One embodiment of a system and process of reading a multi-character code may include identifying regions in which respective characters of the code reside in response to receiving an image of the multi-character code. The identified regions may be applied to a neural network to determine the respective characters in the identified regions. The determined characters may be displayed in an ordered sequence for a user to visually inspect to confirm that each of the determined characters are correct.

Abstract: A method for recording an image. The method includes: detecting an area using a sensor and generating a map of the area having a predefined number of pixels, which indicate brightness values, and subdividing the map into blocks) having a predefined first size, creating an auxiliary map by scaling down the blocks to a predefined second size, which is smaller than the predefined first size, sorting the pixels of each block of the auxiliary map according to their brightness values, determining processing parameters for each block on the basis of the sorted pixels, with which the pixels of the associated block are processed in order to achieve a brightness maximization and/or a contrast maximization, interpolating a processing function from the processing parameters, and applying the processing function to the pixels of the map to generate the image.

Abstract: An alerting apparatus (100) includes an obtainer (111), a detector (112), and an outputter (113). The obtainer (111) obtains a group of images of a group of objects imaged by a stereo camera, the group of objects including a plurality of external objects. The detector (112) detects objects approaching each other in accordance with positions and parallaxes of the plurality of imaged objects based on the obtained group of images. The outputter (113) outputs an alert reflecting a degree of approach, the degree representing a degree of closeness between the detected objects.

Abstract: In one implementation, a method of accessing shared data among processes is performed by a device including processor(s), non-transitory memory, and an image acquisition interface. The method includes obtaining image data acquired by the image acquisition interface. The method further includes determining pose data based at least in part on inertial measurement unit (IMU) information measured by the image acquisition interface. The method also includes determining a gaze estimation based at least in part on eye tracking information obtained through the image acquisition interface. Based at least in part on characteristics of processes, the method includes determining an arrangement for the image data, the pose data, and the gaze estimation. The method additionally includes determining an access schedule for the processes based at least in part on at least one of: the arrangement, the characteristics of the processes, and hardware timing parameters associated with the device.

Abstract: Systems and methods for training machine models with augmented data. An example method includes identifying a set of images captured by a set of cameras while affixed to one or more image collection systems. For each image in the set of images, a training output for the image is identified. For one or more images in the set of images, an augmented image for a set of augmented images is generated. Generating an augmented image includes modifying the image with an image manipulation function that maintains camera properties of the image. The augmented training image is associated with the training output of the image. A set of parameters of the predictive computer model are trained to predict the training output based on an image training set including the images and the set of augmented images.

Abstract: A method for identifying a target, a non-transitory computer-readable storage medium, and an electronic device include: acquiring a first image and a second image, the first image and the second image each including a target to be determined; generating a prediction path based on the first image and the second image, both ends of the prediction path respectively corresponding to the first image and the second image; and performing validity determination on the prediction path and determining, according to a determination result, whether the targets to be determined in the first image and the second image are the same target to be determined.

Abstract: A computing device generates a patent characteristic space including patent vectors having a first number of features. Each of the patent vectors represents a respective patent family of one or more respective patents, and each of the features represents a respective property of the respective patent families represented by the patent vectors. The device performs a linear dimensionality reduction on the patent characteristic space to obtain an intermediate characteristic space that includes the patent vectors having a number of features reduced to a second number of features selected based on the respective properties of the patent families. The device performs a non-linear dimensionality reduction on the intermediate characteristic space to obtain, and present via a user interface according to a visualization preference, a reduced characteristic space that includes the patent vectors having a number of features reduced to a third number of features selected based on the visualization preference.

Abstract: Methods, systems, and computer storage media are provided for data extraction. A target document representation may be generated based on modified text of a target electronic document. A measure of similarity may be determined between the target document representation and a reference document representation, which may be based on modified text of a reference electronic document. Based on the measure of similarity, the reference document representation may be selected. An extraction model associated with the selected reference document representation can then be used to extract data from the target document.

Abstract: An information processing device including: an input unit that receives time-series data including a plurality of data input in time series and having a correlation in at least a part between the data; and a division unit that temporally divides the time-series data by a first divider width to cause an analysis system to perform a first analysis process of the time-series data with the first divider width and temporally divides the time-series data by a second divider width that is longer than the first divider width to cause the analysis system to perform a second analysis process of the time-series data with the second divider width.

Abstract: Systems, computer program products, and methods are described herein for character recognition in a digital image processing environment. The present invention is configured to electronically retrieve one or more documents from a document repository, wherein the one or more documents are in an image format; initiate one or more image super resolution algorithms on the one or more documents; generate, based on at least the one or more image super resolution algorithms, one or more high-resolution images associated with each of the one or more documents; initiate one or more image bottleneck ensembles (IBE) algorithms on the one or more high-resolution images; extract, using the one or more IBE algorithms, one or more features associated with the one or more high resolution images; and store the one or more features extracted from the one or more high resolution images in a feature repository.

Abstract: Disclosed is a display apparatus. The display apparatus includes a communication interface that receives an image from an external electronic device, a display that displays the image, and a processor, wherein the processor generates a user interface (UI) mask including probability information that a plurality of areas included in the image correspond to a UI, by using a convolutional neural network (CNN) algorithm, identifies a UI area included in the image by using the UI mask, identifies a text area included in the UI area, and recognizes text included in the text area.

Abstract: An imaging processing part 131 executes first imaging processing of causing a first illuminating part to emit structured light from a first direction to a measurement target, causing an imaging part 120 to generate image data, and causing a buffer memory 133 to store therein the generated image data. A computing processing part 132 executes first computing processing of generating, height data corresponding to the first direction. Concurrently with the first computing processing, the imaging processing part 131 executes second imaging processing of causing the second illuminating part to emit structured light from a second direction to the measurement target, causing the imaging part 120 to generate image data, and causing a buffer memory 134 to store therein the generated image data. The computing processing part 132 executes second computing processing of generating height data corresponding to the second direction.