Abstract: Described is an optical fingerprint system with varying integration times across pixels. A sensor selects blocks of pixels contacted or covered by an input to a region of a display. While a matcher attempts to authenticate the input with first blocks of pixels captured by the sensor, the sensor captures additional blocks of pixels for subsequent authentication if the first blocks fail. With more time to integrate the light reflected off the input, each additional block of pixels include more detail than previously captured blocks. If authentication fails based on the first blocks, the matcher can reattempt authentication using the additional blocks without delay. Repeating this process enables the system to authenticate input using very large or high-resolution images while minimizing latency and power consumed to authenticate the input.

Abstract: Improvement in the accuracy of estimating the position of a mobile entity even while traveling or if there is an error in the calibration performed utilizing: a mobile entity; an imaging device provided in the mobile entity; and an information processing device for determining a first movement amount by which a detection point that is the same object has moved on the basis of a first image and a second image acquired by the imaging device and a second movement amount by which the mobile entity has moved while the first image and the second image were acquired, determining the accuracy of recognizing the detection point acquired by the imaging device on the basis of the first movement amount and the second movement amount, and estimating the position of the mobile entity on the basis of the accuracy of recognition and position information that pertains to the detection point.

Abstract: A method and a device for processing an image saturation based on depth of field, an electronic device and a computer readable storage medium are provided, for processing scene data collected by an imaging device. The scene data includes a first scene image. The method includes the following. The scene data is processed to determine whether a portrait exists in a scene. In response to determining that the portrait exists, the scene data is processed to identify a portrait region. The first scene image is processed to reduce a saturation of the portrait region.

Abstract: A biometric recognition system is described. The biometric recognition system includes a user system with a biometric able to scan a finger and provide an image. From the image, a plurality of features are extracted to create at least one fingerprint feature vector using a convolutional neural network.

Abstract: A system and method for for grouping of similar image classes for image recognition is provided. The invention comprises extracting one or more features from multiple classes of images for determining a correlation value between each of the multiple classes of images based on assessment of the extracted features of each one of the classes of images with respect to other classes of images in the multiple classes of images. Further, the one class of image is grouped with the other class of image in the multiple classes of images to form one or more groups of super-classes of similar class of images based on analysis of the determined correlation values with respect to a pre-determined threshold value. An input image is recognized based on the formed groups of super-classes followed by sub-class classification of the images.

Abstract: A terminal for receiving streaming data may receive information of a plurality of different quality versions of an image content; request, based on the information, a server for a version of the image content from among the plurality of different quality versions of the image content; when the requested version of the image content and artificial intelligence (AI) data corresponding to the requested version of the image content are received, determines whether to perform AI upscaling on the received version of the image content, based on the AI data; and based on a result of the determining whether to perform AI upscaling, performs AI upscaling on the received version of the image content through a upscaling deep neural network (DNN) that is trained jointly with a downscaling DNN of the server.

Abstract: An object tracking system includes a sensor and a tracking system. The sensor is configured to capture a frame of at least a portion of a rack within a global plane for a space. The tracking system is configured to receive the frame, to detect an object within a zone of the frame, and to determine a pixel location for the object. The tracking system is further configured to identify a zone and a shelf of the rack based on the pixel location, to identify an item based on the identified zone and the identified shelf of the rack, and to add the identified item to a digital cart associated with a person.

Abstract: The innovation discloses systems and methods of authenticating users using vein or blood vessel characteristics. The innovation retrieves, based on an authentication request, an authentication image associated with a user. The authentication image comprises a first predetermined point and a second predetermined point. The innovation projects the authentication image onto a body part of the user and reads a blood vessel from the body part. The user orients the blood vessel such that it corresponds to the predetermined points in the projected authentication image. The user is authenticated when the blood vessel appears to connect the predetermined points in the direction of the blood flow.

Abstract: Systems, methods, and devices for predicting driver intent and future movements of a human driven vehicles are disclosed herein. A computer implemented method includes receiving an image of a proximal vehicle in a region near a vehicle. The method includes determining a region of the image that contains a driver of the proximal vehicle, wherein determining the region comprises determining based on a location of one or more windows of the proximal vehicle. The method includes processing image data only in the region of the image that contains the driver of the proximal vehicle to detect a driver's body language.

Abstract: The disclosure provides a fingerprint sensor and a fingerprint sensing method thereof. The fingerprint sensor includes an optical sensing array, an analog front end circuit and an image processing circuit. The optical sensing array is configured for sequentially outputting a plurality of analog fingerprint images corresponding to a finger. The analog front end circuit is coupled to the optical sensing array. The analog front end circuit is configured for sequentially receiving and converting the plurality of analog fingerprint images into a plurality of first digital fingerprint images. The image processing circuit is coupled to the analog front end circuit. The image processing circuit is configured for sequentially superimposing the plurality of first digital fingerprint images to generate an enhanced fingerprint image.

Abstract: This disclosure relates to various implementations that dynamically adjust one or more shallow depth of field (SDOF) parameters based on a designated, artificial aperture value. The implementations obtain a designated, artificial aperture value that modifies an initial aperture value for an image frame. The designated, artificial aperture value generates a determined amount of synthetically-produced blur within the image frame. The implementations determine an aperture adjustment factor based on the designated, artificial aperture value in relation to a default so-called “tuning aperture value” (for which the camera's operations may have been optimized). The implementations may then modify, based on the aperture adjustment factor, one or more SDOF parameters for an SDOF operation, which may, e.g., be configured to render a determined amount of synthetic bokeh within the image frame.

Abstract: A control system for agricultural spraying is especially intended to be connected to an agricultural machine comprising a spraying ramp and having at least one spraying nozzle selectively activatable to spray an agricultural product. The system includes a set of cameras (42) suitable for being secured to the spraying ramp to acquire images (51) of the ground (12) on which the agricultural machine moves (10), a measuring system (59) for determining, in real time, distance information between a camera (42) and the ground (12), and a processing unit (44) communicating with the cameras (42) and said measurement system (59), the processing unit (44) being suitable for selectively controlling the spraying nozzles (34).

Abstract: It is provided a biometric authentication system, which is configured to execute authentication by using registered biometric information, the biometric authentication system comprising: a light source unit configured to irradiate a living body with light; an image pickup unit configured to photograph a vessel image with light radiated from the light source unit and transmitted through the living body; a control unit configured to generate authentication biometric information from the vessel image photographed by the image pickup unit; a category selection unit configured to select a category that corresponds to the authentication biometric information, based on supplementary information including information that has been obtained about a position and posture of the living body at timing of photographing the vessel image; and an authentication unit configured to execute authentication processing by comparing registered biometric information of the selected category and the authentication biometric informatio

Abstract: An information processing apparatus includes a first self-position estimating section configured to estimate a self-position of a moving body using a visible image, a second self-position estimating section configured to estimate the self-position of the moving body using an infrared image, and a combining section configured to set, based on a situation in which the moving body is placed, a first weight for a first estimation result obtained by self-position estimation using the visible image and a second weight for a second estimation result obtained by self-position estimation using the infrared image, to thereby combine the first estimation result and the second estimation result using the first weight and the second weight. The present technology is applicable to moving bodies, for example, vehicles.

Abstract: Providing a color score for a user's teeth using a smart-phone is presented. The phone includes an application electronically stored therein and accessed using the user interface screen. To acquire the score the app prompts the user to turn the phone upside down and enter a darkened room, then it illuminate a portion of the display to provide illumination of a set color temperature. Then, using the camera function, graphical enhancements and prompts provided by the application, an image of the user's face and specifically their exposed front teeth is acquired. The application prompts the user to outline an area of their teeth in the image to acquire a pixel count area. The area is sent to an external server where the area is analyzed and a color score calculated. The color score is sent back to the phone for display.

Abstract: A mark information recording apparatus includes an output unit and a recording unit. The output unit is configured to output, for displaying a partial image being a part of an entire image having an arbitrary resolution among entire images generated at a plurality of different resolutions with respect to a single target, the partial image. The recording unit is configured to associate mark information with information on a position within the entire image and information on the resolution of the output partial image and record the mark information.

Abstract: A display apparatus with fingerprint identification function includes a first cover, a display module, and a fingerprint identification module disposed between the first cover and the display module. The first cover defines a display region and a non-display region surrounding the display region. The display region includes a fingerprint identification region. The fingerprint identification module includes a first substrate, a touch unit, a fingerprint identification unit, and a control unit. The touch unit is coplanar with the fingerprint identification unit on a surface of the first substrate facing the first cover. The fingerprint identification unit is disposed in the fingerprint identification region and can identify fingerprint applied on the fingerprint identification region of the first cover.

Abstract: Behavioral and mental health therapy systems in accordance with several embodiments of the invention include a wearable camera and/or a variety of sensors (accelerometer, microphone, among various other) connected to a computing system including a display, audio output, holographic output, and/or vibrotactile output to automatically recognize social cues from images captured by at least one camera and provide this information to the wearer via one or more outputs such as (but not limited to) displaying an image, displaying a holographic overlay, generating an audible signal, and/or generating a vibration.

Abstract: A panoramic image system includes at least two camera modules, at least two display elements, and an image processor. Each of the camera modules takes a rear field of view or side field of view to obtain a view image. Each of the display elements displays each of the view images, and each of the view images is configured to have an overlapping region. The image processor receives each of the view images and pieces each of the view images into a panoramic image according to each of the overlapping regions. Each of the display elements selectively displays the panoramic image partially or displays the panoramic image entirely according to a region of interest by a user's observation. The panoramic image system may be applied to a vehicle-monitoring system to assist the driver in viewing the traffic conditions behind the vehicle.

Abstract: A weeding system for a railway weeding vehicle comprising a camera and a spraying unit with several supply modules, a nozzle and a controller module to receive a weed species detection signal and to command the spraying of chemical agent. The weeding system also comprises a weed species identification unit with a communication module, a memory module and a processing module having several parallel processing cores. Each parallel processing core performs a convolution operation between a sub-matrix constructed from nearby pixels of the image and a predefined kernel stored in the memory module to obtain a feature representation sub-matrix of the pixel values of the image. The processing module computes a probability of presence of a weed species from the feature representation matrix and generates a weed species detection signal.