Abstract: A presentation attack detection system includes RGB and thermal imaging cameras for acquiring images of an individual and a processor operable to determine a metric for whether the individual is a real human based on the thermal imaging and RGB image data. Related methods are also described.

Abstract: Maintaining the security of biometric data is an utmost priority. Biometric data is secured using one or more techniques. With one technique, biometric input such as images of a user's palm is used to generate first primary data (PD). The original biometric input is deleted from temporary secure storage while the first PD is securely stored. The first PD may then be processed later to determine a second PD. The first PD may then be deleted, and the second PD subsequently used. With another technique, biometric input or a PD may be processed by a first model to determine first secondary data (SD) that is representative of features of a particular user within a first embedding space. Later the PD may be processed by a second model to determine a second SD in a second embedding space. The first SD is deleted, and the second SD subsequently used.

Abstract: A system for gathering fixation distance calibration data may include eyeglasses with adjustable lenses and an electronic device with a depth sensor. During fixation distance calibration operations, a user wearing the eyeglasses may view the electronic device while the electronic device provides instructions for the user to hold the electronic device at different distances from the user. At each distance, a depth sensor in the electronic device may determine the distance to the eyeglasses and a camera in the eyeglasses may be used to determine a distance between the user's pupils. The calibration measurements may be used to generate calibration data that maps different pupil locations to different fixation distances. The calibration data may be stored in the eyeglasses so that control circuitry in the eyeglasses can determine a user's fixation distance and adjust lens power accordingly without requiring an outward facing depth sensor in the eyeglasses.

Abstract: Connected computing enables the use of highly diverse environments that support operating frameworks for contemporary civilization. But computing productivity and trustworthiness are undermined by such environments' largely inchoate organization. These environments and their identity infrastructures are fragmented, and unnecessarily unreliable, insecure, and insufficiently informative due to current computing entity (e.g., resource) identification infrastructure design, which lacks root identification reliability. Such reliability is enabled herein by a fundamentally accurate and authenticity ensuring, near-existential or existential quality, biometrically and liveness based, portable identification and provenance infrastructure. Such an infrastructure provides ubiquitously available identification information that can be used universally for identification processes.

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: An information processing device according to this disclosure is an information processing device that controls an iris recognition system, and the information processing device includes: an acquisition unit that acquires visual line information on a recognition target from an image captured by a first capture device; and a control unit that controls the iris recognition system so that a visual line direction obtained from the visual line information and a capturing direction of a second capture device, which captures an iris image used for iris recognition of the recognition target, face each other.

Abstract: The disclosure generally pertains to generating floorplans. An example method to do so involves generating a three-dimensional polygonal mesh representation of at least a portion of a building (one floor of the building, for example). The three-dimensional polygonal mesh representation is generated from images captured by a smartphone, for example. The method further includes generating an edge existence probability mask based on depth information obtained by using a LiDAR device on the smartphone, for example. The edge existence probability mask represents a confidence level associated with identifying an edge of a wall. A pictorial rendering of the building or a part of the building can be generated based on identifying edges and walls of the building by utilizing the three-dimensional polygonal mesh representation and the edge existence probability mask. The pictorial rendering may be used, for example, to provide interior design assistance with respect to a room of the building.

Abstract: Using an image analysis model within an image intended for distribution online, an image portion depicting personally identifiable information is identified, the personally identifiable information comprising image data usable to identify a specific individual. Using an online profile, a person depicted in the image portion is identified. A transaction is posted in a publicly-accessible distributed encrypted ledger, the transaction comprising an encrypted request to allow the image to be distributed online. According to a response to the request, the image portion is obfuscated, the obfuscating comprising altering data of the image portion, the altering making the image portion unusable to identify the person.

Abstract: Described herein is an image pre-processing system and method. One embodiment provides a method (500) including: at step (501), receiving a plurality of images captured at a first frame rate, the plurality of images captured under at least two different image conditions; pre-processing the plurality of images by: at step (502) identifying one or more regions of interest within the images; at step (503), performing a visibility measure on the one or more regions of interest; and, at step (504), selecting a subset of the plurality of images based on the visibility measure; and, at step (505), feeding the subset of images to an image processing pipeline for subsequent processing at a second frame rate that is lower than the first frame rate.

Abstract: An information processing apparatus (2) includes: a reducing unit (211) that generates a second image (IMG2) by reducing a first image (MGI) 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 display device includes a display in which an image is displayed; an output controller configured to display an image in the display; an imager configured to capture an image of an object present within a field of view of a user; a visually recognized object identifying unit configured to identify, based on the captured image, a type of the object present within the field of view of the user; and a visual recognition count identifying unit configured to, based on an identification result by the visually recognized object identifying unit, identify a visual recognition count indicating a number of times by which the user has looked at the object for each of the identified type, wherein the output controller is further configured to display in the display, based on the visual recognition count, a sub image including information on the object for each of the identified type.

Abstract: An image processing apparatus includes at least one memory configured to store instructions, and at least one processor configured to execute the instructions to process an image of a target region, and thereby compute a proximity index being an index relating to a proximity state of a plurality of persons captured in the image, and cause a predetermined apparatus to execute predetermined control, when the proximity index satisfies a criterion.

Abstract: In response to detecting an incident at a building, a risk assessment for the building is performed. The risk assessment identifies dynamic security constraints for different locations at the building. A set of behavioral rules for controlling a sensor system at the building is updated based on the risk assessment to obtain an updated set of behavioral rules. The sensor system operating under the updated set of behavioral rules is referenced to detect a visitor at a location of the building during the incident. The location of the visitor is correlated to the risk assessment to determine a specific information security risk posed by the visitor. A recommended follow-up action is generated based on the specific information security risk.

Abstract: Methods and systems for estimating a gaze direction of an individual using a trained neural network. Inputs to the neural network include a face image and an image of a visually significant eye in the face image. Feature representations are extracted for the face image and significant eye image and feature fusion is performed on the feature representations to generate a fused feature representation. The fused feature representation is input into a trained gaze estimator to output a gaze vector including gaze angles, the gaze vector representing a gaze direction. The disclosed network may enable gaze estimation performance on user devices typically having limited hardware and computational resources such as mobile devices.

Abstract: An identifying device includes a light source, an image sensor, a memory that stores biometric data indicating a feature of a body of a user, and a processor. The processor causes the light source to emit pulsed light having a pulse duration of more than or equal to 0.2 ns and less than or equal to 1 ?s to illuminate the user with the pulsed light, causes the image sensor to detect at least part of reflected pulsed light that returns from the user and to output a signal corresponding to two-dimensional distribution of an intensity of the at least part of the reflected pulsed light, and verifies the signal against the biometric data to identify the user.

Abstract: The application relates to the technical field of artificial intelligence, and provides a method, device, electronic equipment and storage medium for positioning macular center in fundus images. The method comprises: acquiring a detection result of the fundus image detection model, wherein the detection result includes an optic disc area, and a first detection block and a first confidence score corresponding to the optic disc area, and a macular area, and a second detection block and a second confidence score corresponding to the macular area; calculating a center point coordinate of the optic disc area according to the first detection block, and calculating a center point coordinate of the macular area according to the second detection block; identifying whether the to-be-detected fundus image is a left eye fundus image or a right eye fundus image, and correcting a center point of the macular area using different correction models.

Abstract: A system and method for generating data suitable for determining one or more parameters of at least one eye of a subject. The method includes receiving image data of an eye at a first time from a camera of known camera intrinsics and defining an image plane. A first ellipse in the image data is determined. The method includes determining a first eye intersecting line in 3D expected to intersect a 3D center of the eyeball at the first time as a line which is, in the direction of the orientation vector, parallel-shifted to the first center line by an expected distance between the center of the eyeball and a center of the pupil.

Abstract: A head-mounted display device is provided. The head-mounted display device includes a sensor and a controller. The sensor is configured to capture an eye image of eyes of a user. The controller is coupled to the sensor and configured to: analyze the eye image to generate an analysis result, wherein the analysis result indicates that whether the eyes in the eye image is clear or not; and in response to the analysis result indicating that the eye in the eye image is not clear, output an issue detected signal.

Abstract: An example embodiment includes: a determination unit that, based on an image including an eye of a recognition subject, determines whether or not a colored contact lens is worn; and a matching unit that, when it is determined by the determination unit that the colored contact lens is worn, performs matching of the iris by using a feature amount extracted from a region excluding a predetermined range including an outer circumference of the iris out of a region of the iris included in the image.

Abstract: An example embodiment includes: a determination unit that, based on an image including an eye of a recognition subject, determines whether or not a colored contact lens is worn; and a matching unit that, when it is determined by the determination unit that the colored contact lens is worn, performs matching of the iris by using a feature amount extracted from a region excluding a predetermined range including an outer circumference of the iris out of a region of the iris included in the image.

Abstract: Disclosed herein are methods, apparatus, and systems for iris recognition. A method for weighted spoof contact lens detection includes requesting a subject to roll or tilt head when needing access via an iris recognition device, acquiring, by the iris recognition device, iris images of a rolled head, establishing, by the iris recognition device, a horizontal axis by connecting pupils in an iris image, matching, by the iris recognition device, at least one iris in the iris image to an enrolled iris, determining, by the iris recognition device, whether the horizontal axis is within a rotational variance of an enrolled horizontal axis associated with the enrolled iris, and rejecting, by the iris recognition device, access for the subject when the horizontal axis is greater than the rotational variance of an enrolled horizontal axis.

Abstract: A video processing device includes a video acquirer, a video recognition unit, a luminance value acquirer, and a luminance adjuster. The video acquirer acquires a video in which the face of an image capture object is captured. The video recognition unit recognizes an iris part and an eyelid part in a video acquired by the video acquirer. The luminance value acquirer acquires a luminance value of each of the iris part and the eyelid part recognized by the video recognition unit. The luminance adjuster adjusts a luminance value of a video such that the luminance values of the iris part and the eyelid part acquired by the luminance value acquirer respectively become closer to a certain iris luminance upper threshold in the iris part and a certain eyelid luminance lower threshold in the eyelid part.

Abstract: The system may include at least one a light emitter configured to emit light over a range of wavelengths onto an environment and at least one sensor assembly. The range of wavelengths emitted by the light emitter may be of wavelengths that are above or below wavelengths used by a night vision imaging system. The sensor assembly may include an image sensor and conversion layer. The image sensor may capture images of the environment illuminated by the light emitters and sense light in a given range of wavelengths. The conversion layer may receive the emitted light and convert the emitted light to converted light with a wavelength within the given range of wavelengths associated with the image sensor. The image sensor may be further configured to receive the converted light from the conversion layer, capture an image of the light emitter and output image data associated with the captured image.

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 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: 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: 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: 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: 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: 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.