Abstract: A system includes a camera and a computing device. The computing device receives images captured by the camera and identifies a face in the image. A quality of the face and context surrounding the face are determined as to whether they are sufficient for determining liveness of the face. If so, a narrow-face-texture probability and a broad-face-context probability that the face is live are determined. The probabilities are compared to a live threshold and a fake threshold. In response to both probabilities exceeding the live threshold, an indication that the face is live is output. In response to either the narrow-face-texture probability or the broad-face-context probability, or both, being below the fake threshold, an indication that the face is fake is output. In response to both probabilities being above the fake threshold and below the live threshold, an indication that the image includes insufficient information is output.

Abstract: There is provided a vehicle system including a sensing unit, a processing unit, a control unit and a display unit. The sensing unit is configured to capture an image frame containing an eyeball image from a predetermined distance. The processing unit is configured to calculate a pupil position of the eyeball image in the image frame and generate a drive signal corresponding to the pupil position. The control unit is configured to trigger a vehicle device associated with the pupil position according to the drive signal. The display unit is configured to show information of the vehicle device.

Abstract: An information processing apparatus (2) includes: a reducing unit (211) that generates a second image (IMG2) by reducing a first image (MG1) in which a target object is included; a first extracting unit (212) that extracts, as a first key point, a key point (KP) of the target object from the second image; a setting unit (213) that sets a target area (TA) that designates a part of the first image based on the first key point; and a second extracting unit (214) that extracts, as a second key point, a key point of the target object from a target image (IMG1_TA) of the first image that is included in the target area.

Abstract: A processing device receives an image and calculates a sharpness metric for a region of interest of the image. The processing device determines whether the sharpness metric satisfies a sharpness criterion, and one or more additional operations are performed responsive to determining that the sharpness metric satisfies the sharpness criterion.

Abstract: Techniques described herein relate to a method for managing a computer vision environment. The method includes identifying a CV alert; generating a CV alert case associated with the CV alert; identifying nearby CV nodes of the plurality of CV nodes; transmitting CV alert to the nearby CV nodes; for each of the nearby CV nodes: receiving the CV alert; determining, based on CV environment configuration information of the nearby CV node and the CV alert, whether to perform a distributed CV workload; when the determination is to perform the distributed CV workload: initiating performance of the distributed CV workload by the nearby CV nodes to generate CV data; updating the CV alert case using CV data generated during the performance of the distributed CV workload to obtain an updated CV alert case; and transmitting by the nearby CV node to the VMS the updated CV alert case.

Abstract: An eye tracking system with in-optical-assembly plane illumination is described. Side-emitting light emitting diodes (LEDs) aligned with a plane of an optical assembly of a near-eye display device are used to illuminate the eye of a user and generate glints that can be detected by an eye tracking camera. When a corrective optical lens or similar element is included in the optical assembly that may distort illumination beams from the light emitting diodes (LEDs), the distortion is mitigated by using in-package or externally modified LEDs that provide angled beams. In addition to in-package level mitigations such as reflectors or labels, edge portions of the distorting optical elements may be shaped or complemented with refractive elements to redirect the beams toward the eye.

Abstract: An iris recognition apparatus for performing recognition of a target person based on an iris pattern of the target person, is provided with: an imaging device that performs an imaging processing for sequentially outputting imaged images while changing a focal position; and a determining device that starts a focusing determination for determining whether or not an image is a focused image before the imaging device completes the imaging processing.

Abstract: In one implementation, an apparatus includes: a display to emit light in a first wavelength range; one or more light sources to emit light in a second wavelength range; a camera to detect the light in the second wavelength range; and an eyepiece to reflect and refract the light in the first wavelength range while passing, without substantial distortion, the light in the second wavelength range, wherein the eyepiece includes two lens halves separated by a retarder that changes light in the first wavelength range from a first polarization to a second polarization different from the first polarization.

Abstract: An optical subsystem of a near-eye display system provides for projecting light of a virtual image of image content to an eye location, and provides for collecting light of the virtual image onto an exit pupil on a surface proximate to an outer surface of an eye when at the eye location. A subpupil modulator within an aperture in cooperation with the optical subsystem provides for forming a plurality of subpupils within the exit pupil, provides for less than all of the light of the virtual image associated with one or more less than all of the plurality of subpupils to be projected to the eye location, and provides for individually and independently controlling an intensity of the light through each activated subpupil to a level less than a maximum level of intensity.

Abstract: Information relating to a non-qualified digital identifier in a context of a digital service being provided is received. the non-qualified digital identifier is associated with one or more qualified digital identifiers. It is determined that the one or more qualified digital identifiers would be authorized for the digital service. The non-qualified digital identifier is authorized to access to the digital service as a result of the association of the nonqualified digital identifier with the one or more qualified digital identifiers.

Abstract: A system for facilitating secure communications accesses a secure element in response to determining that an authorized user operates the system. The system causes a light emitter to emit an output light signal for detection by a second system. The output light signal is emitted according to a predefined field of view, which operates as a constraint to prevent devices outside of the field of view from detecting the output light signal. The system also configures the light detector to detect a second output light signal emitted by a second light emitter of the second system. In response to (i) detection of the output light signal by a second light detector of the second system and (ii) detection of the second output light signal by the light detector, the system enables secure communication between the system and the second system.

Abstract: An imaging system (1) includes an imaging unit (2) configured to capture an eye of a target person, and a mode control unit (4) configured to select one of imaging modes including a first imaging mode that sets a capture volume for which a greatest distance from the imaging unit (2) in an optical axis direction of the imaging unit (2) is a first distance, and a second imaging mode that sets the capture volume for which the greatest distance from the imaging unit is a second distance, in which the second distance is greater than the first distance. With the imaging system (1), a balance between an image quality matching a purpose of use and a capturing time may be easily achieved.

Abstract: An image generation device includes: at least one memory storing a set of instructions; and at least one processor configured to execute the set of instructions to: select a second face image from a plurality of face images stored in advance based on directions of faces included in the plurality of face images and a direction of a face included in an input first face image; deform the second face image based on feature points of the face included in the first face image and feature points of a face included in the second face image such that a face region of the second face image matches a face region of the first face image; and generate a third face image in which the face region of the first face image is synthesized with a region other than the face region of the deformed second face image.

Abstract: An apparatus comprising: at least one processor; and at least one non-transitory memory storing instructions that, when executed by the at least one processor, cause the apparatus at least to: transmit a pose and interactivity stream to a server, the pose and interactivity stream comprising data based on information obtained from at least one sensor; determine a validity of the pose and interactivity stream, the validity comprising at least one criterion for which the data within the pose and interactivity stream is considered valid; signal at least one parameter that defines the validity of the pose and interactivity stream; and signal a current state of the validity of the pose and interactivity stream.

Abstract: The present disclosure is related to a method and apparatus for determining THC usage of a person. The present disclosure describes acquiring a video sequence, of an eye of a patient, the video sequence being a plurality of video frames, determining a frequency spectrum from a pupillary data of the video sequence, and determining, based on the frequency spectrum, the physiological characteristic or drug of use of the patient. In an embodiment, at least one frequency can be probed based on which physiological characteristic is being explored. For example, the physiological characteristic can be ?#-tetrahydrocannabinol, and the at least one frequency probed can be selected to be specific to ?#-tetrahydrocannabinol.

Abstract: An information processing apparatus (2) includes: an extracting unit (212) that extracts a key point (KP) of a target object as a target key point (KP1) from an input image (IMG1); and a calculating unit (213) that calculates, as a score (SC) of the input image from which the target key point is extracted, an index value related to a reliability of the target key point based on the target key point.

Abstract: The invention relates to the domain of biometric based identity authentication of an individual. In particular, the invention provides methods, systems and computer program products for convenient and secure biometric authentication of a user of a service, at a point-of-service. The invention relies on network interactions between a user communication device, a point-of-service terminal and a service-access-control system.

Abstract: An image pre-processing method and an image processing apparatus for a fundoscopic image are provided. A region of interest (ROI) is obtained from a fundoscopic image to generate a first image. The ROI is focused on an eyeball in the fundoscopic image. A smoothing process is performed on the first image to generate a second image. A value difference between neighboring pixels in the second image is increased to generate a third image.

Abstract: A facial recognition framework may be configured for robotic process automation (RPA) to automate a workflow for an application interface. A set of images of a user may be captured after the robot is initiated for the automated workflow. The set of images may be utilized by a deep learning neural network model to identify facial characteristics. The automated workflow may be performed by an attended robot based on successful validation of the user with the facial characteristics and credentials of the user for the attended robot.

Abstract: Embodiments described systems and method to estimate user gaze comprising receiving a target image data associated with the user from a camera coupled with the display, wherein the target image data includes a target eye patch image data associated with the user; and determining, using a neural network, the target point of regard associated with the target image data based on: the target eye patch image data, a plurality of aggregated gaze reference vectors, and a plurality of reference image data associated with the user, respectively associated with the plurality of aggregated gaze reference vectors. In embodiments, the target point of regard is determined within a predetermined threshold. In embodiments, the target point of regard is mapped onto the display.

Abstract: Iris image pick-up devices have the same field of view and are disposed at mutually different positions. An overall image pick-up device performs image pick-up over a wide field of view. A guiding device guides a subject. An illumination device illuminates the subject with light. The controller controls, using an image from the overall image pick-up device, at least one of reading out an image from the iris image pick-up devices, presenting at least of an image and a sound through the guiding device, or providing illumination with light from the illumination device.

Abstract: A 3D measuring system includes a first projector that projects a first line onto an object at a first wavelength, a second projector that projects a second line onto the object at a second wavelength, a first illuminator that emits a third light onto some markers, a second illuminator that emits a fourth light onto some markers, a first camera having a first lens and a first image sensor, a second camera having a second lens and a second image sensor, the first lens operable to pass the first wavelength, block the second wavelength, and pass the third light to a first image sensor, the second lens operable to pass the second wavelength, block the first wavelength, and pass the fourth light. The system further includes one or more processors operable to determine 3D coordinates based on images captured by the first image sensor and the second image sensor.

Abstract: An electronic device and a control method therefor are disclosed. The present invention comprises: a camera; a memory for storing user face authentication information and an authentication pattern; and a control unit for recognizing a face from an image acquired through the camera, performing a first authentication that determines whether the recognized face matches the face authentication information, tracking the movement of a gaze of the recognized face when the first authentication is completed, and performing a second authentication that determines whether the movement of the gaze matches the authentication pattern. According to the present invention, a dual authentication step using the face authentication information and the movement of the gaze of the user can be conveniently performed.

Abstract: An electronic device is provided. The electronic device includes a housing including a first plate, a second plate, and a side member which surrounds a space between the first plate and the second plate, a display, an antenna array disposed in the housing or in part of the housing, an image sensor, a wireless communication device electrically coupled to the antenna array, a processor, and a memory. The memory may store instructions, when executed, causing the processor to obtain and receive at least one image using the image sensor, recognize an object in the at least one image, transmit a sequence of directional beams in at least one second direction, using the antenna array, receive a sequence of reflected waves reflected by the object, using the antenna array, and recognize the object, based at least in part on the recognized object and the sequence of the reflected waves.

Abstract: Methods, systems, and computer program products for generating revised videos. The method includes, for example, receiving, by one or more processor, first video data of an environment having at least one projection on a screen from a first point of view, and generating, by the one or more processor, revised video data of the environment having the at least one projection on the screen from the first point of view based on the first video data, the revised video data comprising a plurality of frames with the at least one projection on the screen disposed in the first area relative to the environment in a plurality of frames being revised based on data for projecting the at least one projection on the screen in the first video data.

Abstract: An electronic device and method for positioning an eyeball into a 3D mesh of a head portion of an object is provided. Images of an eye of an object, the 3D mesh of the head portion of the object, and a 3D template mesh of an eyeball are acquired. 3D feature points for eye regions are extracted from the images and fit to a sphere. An initial pose transformation between the 3D template mesh and the sphere is estimated. Based on the 3D template mesh, a first set of points corresponding to the eye regions are interpolated. Based on sampling parameters for the first set of points, a second set of points are determined. A final pose transformation is determined based on minimization of difference between the first and the second set of points and the 3D template mesh is fit into an eyeball socket of the 3D mesh.

Abstract: An eye state detection-based image processing method and apparatus, a device, and a storage medium are provided. The method comprises: detecting eye states of a target face in an image set to be processed to obtain target area images in which the eye states meet a preset condition, then determining therefrom a target effect image corresponding to the target face, and finally synthesizing the target effect image onto a reference image in the image set to be processed to obtain a target image corresponding to the image set to be processed.

Abstract: Anatomically-constrained gaze estimation providing a point of reference (PoR) in a 3D field and/or 2D plane, based on 6 DOF head pose constrained by the eyeball center being fixed in a common 3D coordinate system.

Abstract: The disclosure provides a system that may receive an identification of a first patient; may retrieve, based at least on the identification of the first patient, first eye identification information that includes a first plurality of iris structures associated with a first eye of the first patient; may determine a second plurality of iris structures of an eye of a current patient; may determine if the second plurality of iris structures match the first plurality of iris structures; if the second plurality of iris structures match the first plurality of iris structures, may provide an indication that the first eye has been correctly identified; and if the second plurality of iris structures do match the first plurality of iris structures, may provide an indication that the first eye has not been correctly identified.

Abstract: A method includes receiving an image of a face of a patient, the image including a depiction of teeth; processing the image of the face using one or more trained machine learning model, wherein the one or more trained machine learning model outputs a pixel-level classification of pixels in the image, the pixel level classification comprising a first set of pixels classified as being inside of a bounding shape that bounds a first plurality of teeth depicted in the image and a second set of pixels classified as being outside of the first bounding shape; cropping the image of the face of the patient, wherein the cropped image comprises depictions of the first plurality of teeth; and performing one or more operations on the cropped image of the face of the patient.

Abstract: The present invention relates to an eye movement measurement method including the steps of: (a) presenting standardized nystagmus test items and receiving am image of an eye in accordance with the standardized nystagmus test items; (b) recognizing a pupil and an iris from the image of the eye; (c) calculating amounts of horizontal and vertical changes of the pupil and an amount of torsional movement of the iris; (d) determining change values and orientations for three axis directions of the eye on the basis of the amounts of the horizontal and vertical changes of the pupil and the amount of the torsional movement of the iris; and (e) generating a diagnosis result for vertigo through deep learning modeling on the basis of the change values and orientations of the three axis directions of the eye.

Abstract: In an implementation, one or more user interactions from a virtual reality (VR) device user for initiating a service in a VR scenario of a VR application are detected. One or more eye physiological characteristics of the VR device user are obtained for user identity authentication. The obtained one or more eye physiological characteristics are compared with one or more pre-stored eye physiological characteristics samples. The VR device user is authenticated if the one or more eye physiological characteristics match at least a portion of the one or more pre-stored eye physiological characteristics samples, and a server that provides and performs the service is communicated with.

Abstract: Systems and methods for eye image segmentation and image quality estimation are disclosed. In one aspect, after receiving an eye image, a device such as an augmented reality device can process the eye image using a convolutional neural network with a merged architecture to generate both a segmented eye image and a quality estimation of the eye image. The segmented eye image can include a background region, a sclera region, an iris region, or a pupil region. In another aspect, a convolutional neural network with a merged architecture can be trained for eye image segmentation and image quality estimation. In yet another aspect, the device can use the segmented eye image to determine eye contours such as a pupil contour and an iris contour. The device can use the eye contours to create a polar image of the iris region for computing an iris code or biometric authentication.

Abstract: Systems and methods for detecting textured contact lenses in an iris image are disclosed. Initially, “K” images are taken of an eye in near-infrared light, each for a different positioning of the illuminant. Three-dimensional properties of the hypothetical iris are estimated based on image processing methods. The variability of the estimated three-dimensional properties is calculated, and a classification into two classes is made based on the variability. A low variability denotes that an authentic iris pattern was presented to the sensor, whereas a high variability denotes that the sensor observes an eye wearing a textured contact lens. The systems and methods disclosed allow for detecting presentation attacks to iris recognition systems/sensors based on presentation of an eye wearing a textured contact lens in an automatic and accurate way.

Abstract: The present disclosure relates to a method and a system for imaging a biological tissue. A monochromatic image of the biological tissue is obtained. A texture analysis of the biological tissue is performed using spatial information of the monochromatic image to identity features of the biological tissue. A texture image is generated based on the features of the biological tissue. The biological tissue of the subject is classified as normal or abnormal at least in part based on a comparison between first order statistics of the texture image and predetermined values.

Abstract: A device for providing even illumination to a user’s hand or other object to acquire images of the object for biometric identification of a user, includes a camera, a first light module positioned on a first side of the camera, and a second light module positioned on a second side of the camera. The camera is positioned closer to the second light module. The second light module emits light with a lesser intensity than the first light module. Light bending films positioned adjacent to the light modules redirect emitted light toward opposite edges of the field of view of the camera. Diffusers in the path of the emitted light diffuse portions of the emitted light along the edges of the field of view. Polarizers positioned in the path of the emitted light polarize the emitted light to facilitate visualization of particular features of the hand or other object.

Abstract: The present disclosure provides a method for facilitating biometric recognition. Further, the method includes receiving, using a communication device, a biometric data from a user device. Further, the biometric data includes an eyeball image data. Further, the eyeball image data includes a periocular region image and an iris image. Further, the method includes processing, using a processing device, the biometric data using a machine learning model. Further, the method includes determining, using the processing device, an iris feature based on the processing. Further, the method includes determining, using the processing device, a periocular feature based on the processing. Further, the method includes concatenating, using the processing device, the iris feature and the periocular feature. Further, the method includes generating, using the processing device, an enrolled image data based on the concatenating. Further, the method includes storing, using a storage device, the enrolled image data in a database.

Abstract: Disclosed herein are methods and systems for determining liveness of a user, comprising analyzing visual content of a screen of a client device used by a user to access an online service, adjusting one or more visual objects displayed on the screen of the client device according to dynamically changing patterns, capturing a sequence of images depicting one or more reflecting surfaces associated with the user viewing the screen while the visual objects are displayed, analyzing the images to identify a reflection of the displayed visual objects in the reflecting surfaces and verifying liveness of the user based on one or more of a plurality of reflection attributes of the identified reflection.

Abstract: The invention belongs to scene segmentation's field in computer vision and is a depth-aware method for mirror segmentation. PDNet successively includes a multi-layer feature extractor, a positioning module, and a delineating module. The multi-layer feature extractor uses a traditional feature extraction network to obtain contextual features; the positioning module combines RGB feature information with depth feature information to initially determine the position of the mirror in the image; the delineating module is based on the image RGB feature information, combined with depth information to adjust and determine the boundary of the mirror. This method is the first method that uses both RGB image and depth image to achieve mirror segmentation in an image. The present invention has also been further tested. For mirrors with a large area in a complex environment, the PDNet segmentation results are still excellent, and the results at the boundary of the mirrors are also satisfactory.

Abstract: An access control system can include a camera that detects an image regarding a subject, a database maintaining information, a facial recognizer that receives the image and identifies a facial feature of the subject based on the received image and the facial information maintained by the database, and a processor to alert security or another user when an authorized user accessing an area of a building is under duress, when an unauthorized user is accessing an area of a building by tailgating after an authorized user, when an authorized user has not provided two-factor authentication, or when an authorized user is in a particular area of the building.

Abstract: A processor-implemented method of performing authentication includes obtaining a first biometric information of a user according to a first modality; calculating a first score based on the first biometric information; filtering the first score; determining whether the filtered first score satisfies a second condition; and selectively, based on a result of the determining, authenticating the user based on the first score and a first condition corresponding to the first modality. The second condition is different from the first condition.

Abstract: Systems and methods for detecting a traumatic brain injury (TBI). The system comprises a sensing arrangement and a control unit. The sensing arrangement collects eye movement data of a user. The control unit is in communication with the sensing arrangement and configured to compare the eye movement data to one or more baseline measurements of eye movement dynamics. The control unit is also configured to generate an alert indicating the presence or severity of the TBI for delivery to control unit administrator if the eye movement data diverges from one or more of the baseline measurements by a threshold amount.

Abstract: In one implementation, a method includes: while presenting reference CGR content, obtaining a request from a user to invoke a target state for the user; generating, based on a user model and the reference CGR content, modified CGR content to invoke the target state for the user; presenting the modified CGR content; after presenting the modified CGR content, determining a resultant state of the user; in accordance with a determination that the resultant state of the user corresponds to the target state for the user, updating the user model to indicate that the modified CGR content successfully invoked the target state for the user; and in accordance with a determination that the resultant state of the user does not correspond to the target state for the user, updating the user model to indicate that the modified CGR content did not successfully invoke the target state for the user.

Abstract: A system and a method of calculating coordinates of a pupil center point are provided. The system for acquiring the coordinates of the pupil center point includes a first camera, a second camera, a storage and a processor. The first camera is configured to capture a first image including a face and output the first image to the processor, the second camera is configured to capture a second image including a pupil and output the second image to the processor, a resolution of the first camera is smaller than a resolution of the second camera, and the storage is configured to store processing data, and the processor is configured to: acquire the first image and the second image; extract a first eye region corresponding to an eye from the first image; convert the first eye region into the second image, to acquire a second eye region corresponding to the eye in the second image; and detect a pupil in the second eye region and acquire the coordinates of the pupil center point.

Abstract: A spoofing detection apparatus comprises obtaining, from an image capture apparatus, a first image frame that includes the face of a subject person obtained when a light-emitting apparatus is emitting light and a second image frame that includes the face of the subject person obtained when the light-emitting apparatus is turned off, extracting, from the first image frame, information specifying a face portion of the subject person, and extract, from the second image frame, information specifying a face portion of the subject person, extracting a portion that includes a bright point formed by reflection in an iris region of an eye of the subject person, from the first image frame, extracts a portion corresponding to the portion that includes the bright point, from the second image frame, and calculates a feature that is independent of the position of the bright point, and determining authenticity of subject person based on the feature.

Abstract: Methods, systems, and computer-readable storage media for determining that a subject is a live person include obtaining a first image captured using a first camera disposed on a first side of a mobile device and obtaining a second image captured using a second camera disposed on a second side of the mobile device that is on the opposite side of the first side. The first image includes a representation of reflections visible on the corneas of a subject. The first image and the second image are pre-processing to generate a third image and a fourth image, respectively, where a first field of view represented in the third image at least partially overlaps with a second field of view of the fourth image. A determination is made, based on the third and fourth images, that a scene represented in the first field of view is substantially same as a scene represented in the second field of view.

Abstract: An example embodiment includes: an extraction unit that extracts a determination object image including a side part of an outer circumference of an iris from an image including an eye; and a determination unit that determines whether or not a colored contact lens is worn based on the determination object image.

Abstract: Device, method, and system of high-speed eye tracking. A system includes: a set of illumination sources, to selectively generate illumination pulses towards a human eye in accordance with a particular timing scheme per illumination source and in accordance with a particular wavelength per illumination source; a set of optical sensors, to sense changes to one or more properties of reflections of the illumination pulses from the human eye in response to modifications in operational properties of the illumination sources; and a processor to process the sensed changes, and to generate one or more processing results that are based on the sensed changes.

Abstract: An electronic device is disclosed comprising: a frame configured to be worn on a head of a user; a first light emitter mounted on the frame and configured to illuminate a first eye of the user, wherein an intensity and a spectrum of the first light emitter is adjustable; a second light emitter mounted on the frame and configured to illuminate a second eye of the user, wherein an intensity and a spectrum of the second light emitter is adjustable; a clock; a memory configured to store a target light profile comprising time-resolved data on an amount of light to be accumulated over time by the first and/or second eye of the user, wherein the time-resolved data comprises information about spectrum and intensity; and a controller configured to control the intensity and spectrum of the first and second light emitter based on the time and the target light profile.

Abstract: An artificial intelligence-based control method is disclosed. In an artificial intelligence-based control method according to an exemplary embodiment of the present disclosure, when a user approaches within a set sensing range of a device, the device may capture a user image and predict whether the user has an intent to use the device by using motion features included in the captured image. An AI control method of the present disclosure may be associated with an artificial intelligent module, an unmanned aerial vehicle (UAV), a robot, an augmented reality (AR) device, a virtual reality (VR) device, a 5G service-related device, etc.