Abstract: A fingerprint identification apparatus having a conductive structure includes an insulated casing, a conductive wire, and a fingerprint identification module. The insulated casing has a first surface with a fingerprint detection region and a second surface. The conductive wire has a first wire segment and a second wire segment. The first wire segment forms on the first surface and contacts with the fingerprint detection region. The second wire segment forms on the second surface and electrically connects to the first wire segment. The fingerprint identification module is disposed on the second surface and electrically connected to the second wire segment. Therefore, the conductive structure for fingerprint identification is provided to increase accuracy and security of the fingerprint identification and reduce manufacturing costs.

Abstract: A curved-surface OLED display device with fingerprint identification includes a substrate, a thin film transistor layer, a pixel electrode layer, an OLED display material layer, a common electrode layer, an encapsulation layer, a curved touch detection and fingerprint detection layer and a curved protective layer. The thin film transistor layer includes plural thin film transistors, plural scan lines, and plural data lines. The pixel electrode layer includes plural pixel electrodes. The curved touch detection and fingerprint detection layer includes plural sense electrodes and plural traces for performing the touch detection operation and fingerprint identification operation. A partial area of the curved touch detection and fingerprint detection layer and the curved protective layer exhibits a curved-surface shape.

Abstract: A fingerprint sensor package and method are provided. The fingerprint sensor package comprises a fingerprint sensor along with a fingerprint sensor surface material and electrical connections from a first side of the fingerprint sensor to a second side of the fingerprint sensor. A high voltage chip is connected to the fingerprint sensor and then the fingerprint sensor package with the high voltage chip are connected to a substrate, wherein the substrate has an opening to accommodate the presence of the high voltage chip.

Abstract: An optical signal modulation circuit is configured to provide an optical signal for a fingerprint recognition process. The optical signal modulation circuit includes a first modulation unit and a first control unit. The first modulation unit has a control terminal connected to a signal output terminal of a first control unit, a signal input terminal connected to a first modulation signal terminal, and a signal output terminal connected to a light emitting element.

Abstract: An electronic device may include a dielectric cover layer defining a finger sensing surface and at least one optical image sensor below the dielectric cover layer. The electronic device may also include at least one optical element associated with the at least one optical image sensor. Light sources may be below the dielectric layer and may be selectively operable in subsets of light sources. A controller may be configured to sequentially operate respective adjacent subsets of light sources while acquiring biometric image data from the at least one optical image sensor.

Abstract: An optical fingerprint imaging system (200) and an optical assembly (300, 400, 500, 600, 700) are provided.

Abstract: The present disclosure discloses a fingerprint identification device, a fingerprint identification method and a touch screen. The fingerprint identification device comprises: an optical sensor with a receiving surface configured to receive fingerprint reflected light; and a lens assembly configured to converge the fingerprint reflected light toward the receiving surface of the optical sensor, wherein the lens assembly includes a liquid crystal lens configured to converge the fingerprint reflected light toward the receiving surface of the optical sensor by rotating liquid crystal molecules at different angles upon energization.

Abstract: A method for processing fingerprint information includes dividing an input image that corresponds to at least a portion of a user fingerprint into a plurality of first regions; dividing a registered image that had previously been stored into a plurality of second regions; selecting a first matching region from among the plurality of first regions, and selecting a second matching region from among the plurality of second regions, by comparing the plurality of first regions with the plurality of second regions; and matching the registered image with the input image by comparing the first matching region with the second matching region.

Abstract: A device for verifying a fingerprint includes: a sensing unit which captures a fingerprint image from a fingerprint of a user; a memory which stores a registered fingerprint image; and a controller which calculates a correlation coefficient between at least one region of the fingerprint image and the registered fingerprint image, and rotation-corrects the fingerprint image by a predetermined angle based on a result of comparing the correlation coefficient and a threshold value, where an area of the at least one region is within a range of about 5% to about 40% of an area of the fingerprint image.

Abstract: The invention relates to a method for quantitative measurement of a biomarker by in situ immunofluorescence and uses thereof. In particular, the invention relates to a method which is a useful tool for use in the field of diagnosis, prevention and/or treatment of disease or disorders, in particular in the field of cancer management and therapy.

Abstract: A method for matching signatures based on motion signature information including acquiring a first signature and at least one second signature that are to be matched, wherein the first signature and the second signature are generated based on a motion object's motion signature information; and matching the first signature and the second signature based on the motion signature information to obtain a corresponding match result.

Abstract: Multi-dimensional data can be mapped to a projection shape and converted for image analysis. In some examples, the multi-dimensional data may include data captured by a LIDAR system for use in conjunction with a perception system for an autonomous vehicle. Converting operations can include converting three-dimensional LIDAR data to multi-channel two-dimensional data. Data points of the multi-dimensional data can be mapped to a projection shape, such as a sphere. Characteristics of the projection shape may include a shape, a field of view, a resolution, and a projection type. After data is mapped to the projection shape, the projection shape can be converted to a multi-channel, two-dimensional image. Image segmentation and classification may be performed on the two-dimensional data. Further, segmentation information may be used to segment the three-dimensional LIDAR data, while a rendering plane may be positioned relative to the segmented data to perform classification on a per-object basis.

Abstract: Embodiments of the application provide a method and a device for gesture recognition. The method includes: acquiring an image of a user; detecting whether the image includes a human face (2); and performing gesture recognition based on information of the detected human face (2), which comprises: dividing a first region (3) including the human face (2) in the image; dividing a plurality of detection regions (A1-A4) outside the first region (3); determining respective priority levels of the plurality of detection regions (A1-A4); and in an order from a high priority level to a low priority level, performing the gesture recognition in the plurality of detection regions (A1-A4) in sequence.

Abstract: Embodiments disclosed herein generally related to a method and system for customizing a customer experience. In one embodiment, a method is provided herein. A computing system receives from a computing device positioned in a facility one or more video streams. The one or more video streams capture a customer in the facility. The computing system identifying an identity of the customer by parsing the one or more video streams to identify one or more audio or visual cues of the customer. The computing system determines, based on the identity of the customer, that the customer has one or more previous transactions at the facility. The computing system predicts, based on the one or more previous transactions, a new transaction at the facility. The computing system notifies the computing device positioned in the facility in preparation of the new transaction.

Abstract: Face image data is acquired and a face image is captured, and a difference between a face image indicated by the face image data and the face image that is captured or a candidate of the difference is detected on the basis of at least one of the face image indicated by the face image data that is acquired, and the face image that is captured. Guidance is acquired on the basis of the difference or the candidate of the difference which is detected, and an output unit is controlled to output the guidance.

Abstract: A method and system for authenticating users accessing financial accounts from user terminals via multi-factor image authentication. The system includes an authentication server and a user terminal. The method captures a first facial image of a user and compares this image with stored facial recognition credentials. The method prompts the user via a facial gesture cue to make a facial gesture, captures a second facial image of the user, and compares the second image with stored facial gesture credentials. The user is authorized to perform a transaction in the event the first facial image matches a facial recognition credential for an authorized account, and the second facial image matches a facial gesture credential associated with the authorized account. Facial gesture credentials may be based upon static gestures or dynamic gestures, and may be overt or secret. An additional authentication factor may employ a secondary biometric sensor.

Abstract: An exemplary embodiment relates to the field of Automatic Face Recognition (AFR) systems. More specifically one exemplary embodiment relates at least to a method and a system capable of recognizing the face of a person using a device equipped with a camera of any kind and an associated computer, such as an embedded computer. The system is alternatively suitable to be implemented as an embedded system with minimal processing hardware capabilities, consuming very low power.

Abstract: A carry measuring device includes a first acquiring section configured to acquire a sensor signal from a motion sensor attached to at least one of an exercise instrument and a user, a second acquiring section configured to acquire position information, a shot detecting section configured to detect a shot on the basis of the sensor signal, a position measuring section configured to measure a shot position on the basis of the position information at the time when the shot is detected, and a carry measuring section configured to measure a carry of a hit ball on the basis of the distance between the shot position of the last time and the shot position of this time.

Abstract: A system, article, and method of image segmentation refinement for image processing.

Abstract: A living body detection device (1) includes: an image acquisition unit (171), a determination unit (173) and a detection unit (174). The image acquisition unit (171) acquires a first image in which a subject irradiated by light in a first wavelength range is imaged, and a second image in which the subject irradiated by light in a second wavelength range is imaged, the second wavelength range being different from the first wavelength range. The determination unit (173) determines whether a relation expressed by luminance of the subject imaged in the first image and luminance of the subject imaged in the second image is a relation exhibited by a living body. The detection unit (174) detects that the subject is a living body in a case where the determination unit (173) has determined that it is the relation exhibited by the living body.

Abstract: The present invention provides a method using a trained and activated artificial intelligence entity for detecting in photo images, moving or still, the identity of target people who are present or former members of the U.S. armed services, or are related thereto, from sources available through the Internet or other wide area computer network.

Abstract: A system and method for estimating a sequence of human poses in an unconstrained video. In the present invention, a unified two stage, tree-based, optimization problem is solved for which an efficient and exact solution exists. While the proposed method finds an exact solution, it does not sacrifice the ability to model the spatial and temporal constraints between body parts in the video frames on the unconstrained video.

Abstract: The embodiments herein focus on improving recognition accuracy of these fields on credit card bills by detecting and identifying critical fields on a credit card, extracting the data from the critical fields and comparing the data with known data on a payor, payee and biller.

Abstract: The present application relates to a method and device for segmenting lines in a line chart. The device converts a line chart in which N legends are detected from an RGB color model to an LAB space model to obtain an LAB value of each legend in the line chart and an LAB value of each pixel in the line chart respectively; performs Euclidean distance calculation on the LAB value of each legend and the LAB value of each pixel in the line chart to generate N color difference distribution maps, one legend corresponding to one color difference distribution map; and finds out the minimum in each color difference distribution map, setting a segmentation threshold with reference to the minimum, and segmenting a rough line corresponding to the color difference distribution map in the color difference distribution map according to the segmentation threshold.

Abstract: A method includes identifying one or more objects in one or more images of real-world scenes associated with a user, adding the identified one or more objects to a list of real-world objects associated with the user, assigning each object in the list of real-world objects to an object class based on object recognition, and providing a notification to the user that a content item has been associated with an object class assigned to one of the objects on the list of real-world objects associated with the user. A computer readable storage medium stores one or more computer programs, and an apparatus includes a processor-based device.

Abstract: The present disclosure relates to navigation field and discloses a blindman navigation method and a blindman navigation apparatus. The blindman navigation method includes: obtaining image information of surroundings where a user is located; determining a distance between the user and a traffic signal light according to the image information; judging a distance between the user and a crossing according to the distance between the user and the traffic signal light, and determining the user is in a state where he/she has arrived at the crossing when the distance between the user and the crossing is less than a distance threshold that is preset.

Abstract: Camera platform techniques are described. In an implementation, a plurality of digital images and data describing times, at which, the plurality of digital images are captured is received by a computing device. Objects of clothing are recognized from the digital images by the computing device using object recognition as part of machine learning. A user schedule is also received by the computing device that describes user appointments and times, at which, the appointments are scheduled. A user profile is generated by the computing device by training a model using machine learning based on the recognized objects of clothing, times at which corresponding digital images are captured, and the user schedule. From the user profile, a recommendation is generated by processing a subsequent user schedule using the model as part of machine learning by the computing device.

Abstract: Systems, methods, and computer storage media for discovering authoritative images of people entities are provided. Selections of person entities are received. Authoritative URLs and authoritative images for the person entities are identified. Once the authoritative images are identified, features are extracted. Queries for the person entities are identified by mining search engine logs. The queries and features can be utilized to construct candidate queries to identify and retrieve candidate image URLs. Candidate features are extracted for each candidate image associated with the candidate image URLs. Training data may be utilized to train a classifier that can be run on each candidate image. Each candidate image can then be tagged with an entity ID tag. Images with the entity ID tag can be ranked higher in search engine results page than images without the entity ID tag.

Abstract: Systems and methods for hosting a teleconference session. Media data is received from a plurality of client computing devices at a server. The media data is combined into a teleconference stream configured to display a selected teleconference session view. The teleconference stream is transmitted to a client computing device having a display. The teleconference stream is displayed according to the teleconference session view, which includes a primary section displaying a first graphic element and at least one secondary section each including a user interface element having a toggle view function. The teleconference session view changes the display in the primary section to a second graphic element when a toggle actuation is detected at the user interface element of one of the secondary sections.

Abstract: Methods, systems, and media for analyzing spherical video content are provided. More particularly, methods, systems, and media for detecting two-dimensional videos placed on a sphere in abusive spherical video content by tiling the sphere are provided.

Abstract: Video information defining video content may be accessed. Highlight moments within the video content may be identified. Flexible video segments may be determined based on the highlight moments. Individual flexible video segments may include one or more of the highlight moments and a flexible portion of the video content. The flexible portion of the video content may be characterized by a minimum segment duration, a target segment duration, and a maximum segment duration. A duration allocated to the video content may be determined. One or more of the flexible video segments may be selected based on the duration and one or more of the minimum segment duration, the target segment duration, and/or the maximum segment duration of the selected flexible video segments. A video summary including the selected flexible video segments may be generated.

Abstract: An apparatus for detecting when a subject has exited an item of furniture is provided. The apparatus comprises a camera adapted to be arranged, when in use, below the underside of an item of furniture having an upper side for supporting a subject, the underside being opposite to the upper side, and a processing unit. The camera captures sequential images that do not include the upper side of the item of furniture, the images having a foreground corresponding to a region below the underside of the item of furniture and a background corresponding to a region adjacent the item. The processing unit receives images from the camera; detects, for each image, an edge corresponding to an edge of the item; detects the appearance of a feature contiguous with the edge; monitors how a detected feature changes over a time period; determines whether a change to the detected feature satisfies at least one predefined criterion for a subject exit event; and outputs a signal based on the determining.

Abstract: A data fusion based safety surveillances system has a first through Nth virtual monitoring systems and a data fusion and decision device. The data fusion and decision device defines an ith detection model of the ith virtual monitoring system, and estimates an ith detection loss probability of the ith virtual monitoring system according to detection loss sample numbers of batches of ith monitored data of the ith virtual monitoring system under conditions corresponding to the locations, batches of context data and existence of intruder, the ith detection model, the batches of ith monitored data corresponding to locations of the ith virtual monitoring system and the batches of context data. The data fusion and decision device determines a fusion parameter set according to the first through Nth detection loss probabilities, and performs data fusion on a first through Nth detection results to generate a decision result.

Abstract: In one embodiment, a device identifies, from image data captured by one or more cameras of a physical location, a focal point of interest and people located within the physical location. The device forms a set of nodes whereby a given node represents one or more of the identified people located within the physical location. The device represents a person queue as an ordered list of nodes from the set of nodes and adds a particular one of the set of nodes to the list based on the particular node being within a predefined distance to the focal point of interest. The device adds one or more nodes to the list based on the added node being within an angle and distance range trailing a forward direction associated with at least one node in the list. The device provides an indication of the person queue to an interface.

Abstract: An autonomous vehicle is configured to detect an active turn signal indicator on another vehicle. An image-capture device of the autonomous vehicle captures an image of a field of view of the autonomous vehicle. The autonomous vehicle captures the image with a short exposure to emphasize objects having brightness above a threshold. Additionally, a bounding area for a second vehicle located within the image is determined. The autonomous vehicle identifies a group of pixels within the bounding area based on a first color of the group of pixels. The autonomous vehicle also calculates an oscillation of an intensity of the group of pixels. Based on the oscillation of the intensity, the autonomous vehicle determines a likelihood that the second vehicle has a first active turn signal. Additionally, the autonomous vehicle is controlled based at least on the likelihood that the second vehicle has a first active turn signal.

Abstract: Landmark recognition can handle various landmarks with a low processing load and high reliability. Provided are a database, a segmentation processor, a pattern extraction processor, and a database comparison processor. The database stores landmark extraction information associated with landmark determination condition information, the landmark extraction information identifying a region including a landmark of an image, and allowing right-opposite positioning of the landmark, the landmark determination condition information used for determining landmark pattern information as the landmark. The segmentation processor sets a plurality of segmentation lines with respect to the region including the landmark of the image in a direction parallel to the landmark from a direction right opposite to the landmark, and determines a distance between intersections of the segmentation lines and a boundary of the landmark.

Abstract: A vehicular vision system includes a processor for processing image data captured by first, second and third cameras disposed at the left side, right side and rear portion, respectively, of the vehicle. The field of view of the first camera overlaps with the field of view of the rear backup camera, and the field of view of the second camera overlaps with the field of view of the rear backup camera. At least in part responsive to processing captured image data, the control outputs a composite image for display at a display disposed in an interior cabin of the vehicle, and determines that a camera is misaligned due to a shift in at least one of yaw, pitch and roll alignment of one of the cameras disposed at the vehicle and, responsive to the determination of misalignment of that camera, at least partially compensates for the misalignment of that camera.

Abstract: An onboard environment recognition device is obtained with which it is possible to improve recognition performance within the headlight illumination range and outside the headlight illumination range of a vehicle with an onboard camera. This onboard environment recognition device has: an imaging unit 100 for imaging, using a camera installed in the vehicle, at a wider-angle range than the headlight illumination range; an in-illumination/out-of-illumination exposure adjustment unit for setting appropriate exposure conditions separately within the headlight illumination range and outside the headlight illumination range; and a recognition unit 500 for recognizing images on the basis of the acquired images. Therefore, it is possible to maintain high recognition performance in the boundary regions of the headlight illumination range, and outside the range, and the present invention can also be used for wide-angle sensing at night.

Abstract: Example stain and trash detection systems and methods are described. In one implementation, a method receives a clean image of a vehicle interior and a second image of the vehicle interior after a passenger has occupied the vehicle. The method quantizes the clean image and the second image to reduce noise and identifies differences between the clean image and the second image. Additionally, the method identifies at least one contour in the identified differences and classifies an area defined by the contour as one of a stain, dirt, trash, or another item.

Abstract: A method for estimating a direction of view of an occupant of a vehicle. The method includes a step of ascertaining a head fixation position of the head of the vehicle occupant, terminating a current head movement of the head, using sensor data concerning an angular speed of the current head movement, and a step of combining the head fixation position and a head movement gain parameter in order to estimate the direction of view of the vehicle occupant, the head movement gain parameter being a function of a specific human head movement pattern during a visual fixing of an object.

Abstract: The disclosure relates to methods and device for detecting properties of heterogeneous samples, including detecting properties of particles or fluid droplets in industrial processes. A probe may be inserted into a first of multiple heterogeneous fluid samples. A portion of the first sample may be drawn into the probe and past a two-dimensional array detector. The portion of the first sample may be illuminated as it is drawn past the array detector and an image of the portion of the first sample may be acquired. The probe may be inserted into a second of multiple heterogeneous fluid samples. A portion of the second sample may be drawn into the probe and past a two-dimensional array detector. The portion of the second sample may be illuminated as it is drawn past the array detector and an image of the portion of the second sample may be acquired.

Abstract: An image sensing device (130) for providing image data relating to an image of an object (120; 121; 501) comprises an image sensor (131) having a sensor area (132) for sensing light. The image sensing device (130) defines (401) Regions Of Interest, “ROIs”, (301 a-303a) in the sensor area (132). Each ROI (301 a; 302a; 303a) partially overlaps one or more of the other ROIs (301 a-303a). The ROIs (301 a-303a) are exposed individually to light from the object. The image sensing device (130) reads (403) partial image data belonging to groups respectively associated with the exposed ROIs (301 a-303a) and resulting from sensed light therein. Image data relating to the image of the object is provided based on a combination of the read partial image data.

Abstract: A system for acquiring multi-angle images of a product includes a workstation having a working surface for placing a product, a camera supporting member having a vertical axis, and an image capturing device movably attached to the camera supporting member so that it may move along the vertical axis of the camera supporting member. The system captures and analyzes a digital image of a product to detect the vertical center of the product, and adjusts the position of the image capturing device along the vertical axis so that the vertical center of the product is proximate to the vertical center of the image. The system may also have a turntable and additionally rotate the turntable at multiple capturing angles and capture one or more additional digital images of the product at various capturing angles and store the one or more additional images in a product database.

Abstract: An inspection method and system for inspecting whether there is any liquor in goods is provided. The method includes: acquiring a radiation image of goods being inspected; processing on the radiation image to obtain an ROI; inspecting on the ROI using a liquor goods inspection model to determine if the ROI of the radiation image contains liquor goods. The above solution performs liquor inspection on scanned images of goods, especially containers, so as to intelligently assist the image inspectors.

Abstract: A method of generating a polyline representing a contour of one or more objects includes the steps a) formulating a series of spatially ordered points in 2-dimensional space, each representing a (point) detection with respect to object(s); b) connecting the end points of the series of ordered points with a first straight line segment, and determining the shortest distance between each of the intermediate points and the first segment; c) determining from step b) a threshold based on a measure of the dispersion of the intermediate points around the segment; d) for each side of the segment determining, for any points that lie on that respective side, the point which is further from the segment; e) determining any of the points found in step d) which are further from the segment than the threshold; f) formulating a polyline by connecting the end points of the points determined from step e).

Abstract: The present disclosure provides a method and apparatus for infrared thermal image contour extraction. The method includes: obtaining an infrared thermal image; and determining histograms based on grayscale image of the infrared thermal image, determining segmentation thresholds of the infrared image based on the histograms, and extracting a contour based on the segmentation thresholds. The apparatus includes an image acquisition circuit, configured to capture an infrared thermal image; and a processing circuit, configured to determine histograms based on greyscale images of the infrared thermal image, to determine segmentation thresholds of the infrared thermal image based on the histograms, and to extract a contour based on segmentation thresholds.

Abstract: A camera system processes images based on image luminance data. The camera system includes an image sensor, an image pipeline, an encoder and a memory. The image sensor converts light incident upon the image sensor into raw image data. The image pipeline converts raw image data into color-space image data and calculates luminance levels of the color-space image data. The encoder can determine one or more of quantization levels, determining GOP structure or reference frame spacing for the color-space image data based on the luminance levels. The memory stores the color-space image data and the luminance levels.

Abstract: A technique for efficiently calibrating a camera is provided. Reference laser scan data is obtained by scanning a building 131 by a laser scanner 115, which is fixed on a vehicle 100 and has known exterior orientation parameters, while the vehicle 100 travels. An image of the building 131 is photographed at a predetermined timing by an onboard camera 113. Reference point cloud position data, in which the reference laser scan data is described in a coordinate system defined on the vehicle 100 at the predetermined timing, is calculated based on the trajectory the vehicle 100 has traveled. Matching points are selected between feature points in the reference point cloud position data and in the image. Exterior orientation parameters of the camera 113 are calculated based on relative relationships between the reference point cloud position data and image coordinate values in the image of the matching points.

Abstract: The present invention provides a method for extracting and classifying features of hyperspectral remote sensing image, including: an sampling step, a binarizing step, a coding step, a statistical calculating step, a concatenating step, and a classifying step. The present invention further provides a system for extracting and classifying features of hyperspectral remote sensing image. The technical solution provided by the present invention can make full use of the contextual relationship between the spectral domain and the spatial domain in a hyperspectral remote sensing image by extending two-dimensional LBPs into three-dimensional LBPs, and has good robustness to noise by introducing a relaxation threshold discrimination operation.

Abstract: Disclosed in the present disclosure are a method and an apparatus for security inspection. The method comprises: acquiring identity related information of a person being inspected, the identity related information comprising a certificate photo; acquiring a real-time facial image of the person being inspected; by comparing the real-time facial image and the certificate photo, acquiring a facial comparison similarity; dynamically determining the threshold of the facial comparison similarity; and performing a human-certificate verification on the person being inspected according to the facial comparison similarity and the threshold. The method for security inspection of the present disclosure enables the fast and accurate facial comparison of the person being inspected during security inspection.