Abstract: Systems and techniques for monitoring driver state are described herein. In an example, a driver state monitoring system is adapted to receive a set of color images of a person, such as images of a driver of a vehicle with varying levels of illumination in the images. The driver state monitoring system may be further adapted to generate a set of synthesized thermal images from the set of color images. The driver state monitoring system may be further adapted to use a trained thermal image face detector to locate a human face in the synthesized thermal images. The driver state monitoring system may be further adapted to use a trained thermal image facial landmark predictor to locate facial landmarks in the synthesized thermal images. The driver state monitoring system may be further adapted to analyze the facial landmarks in the synthesized thermal images to determine facial feature movements.

Abstract: Any one of acquired images is set as a reference image, and an image other than the reference image is set as a comparison image. According to a portion or a disease, a first image processing of extracting an anatomic region is executed with respect to the reference image, and a second image processing of extracting an anatomic region is executed with respect to the comparison image. Whether the comparison image is available as correct answer data is determined using the anatomic region of the reference image and the anatomic region of the comparison image. The comparison image determined to be available as the correct answer data is registered as the correct answer data.

Abstract: A system trains a computer model to classify images and to draw bounding boxes around classified objects in the images. The system uses a combination of partially labeled training images and fully labeled training images to train a model, such as a neural network model. The fully labeled training images include a classification label indicating a class of object depicted in the image, and bounding box or coordinate labels indicating a number of objects of the class in the image as well as the location of the objects of the class in the image. The partially labeled training images include a classification label but no indication of where in the image any objects of the class are located. Training the model using both types of training data makes it possible for the model to recognize and locate objects of classes that lack available fully labeled training data.

Abstract: Methods are disclosed comprising measuring, with a first scanner, a central part of the visual image, measuring, with a second scanner, a peripheral part of the visual image, calculating, by a processor, a pan-retinal measure of image contrast for an extended area of the retina, and optimizing a pan-retinal visual quality. Methods further comprising optimizing a pan-retinal visual quality are also disclosed. Systems are also disclosed comprising either a scanner or a laser, a non-transitory memory having instructions that, in response to an execution by a processor, the processor receives a first measurement of the central part of the visual image, receives a second measurement of the peripheral part of the visual image, and calculates a pan-retinal measure of image contrast for an extended area of the retina. Methods of manufacturing lenses, including contact lenses are disclosed.

Abstract: An organic light emitting diode (OLED) display device is provided. The OLED display device includes a display configured to display a video and a controller configured to control the display, wherein the controller senses a fixed region in the video, obtains RGB data of the sensed fixed region, and reduces a saturation of the fixed region, based on the RGB data.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining the identity of a user. In one aspect, a method comprises: obtaining a multi-spectral image that depicts an eye of a user, wherein the multi-spectral image comprises a plurality of registered two-dimensional channels, and each two-dimensional channel corresponds to a different spectrum of the multi-spectral image; processing the multi-spectral image using an encoder neural network to generate a fused image, wherein the fused image has a single two-dimensional channel; determining a set of features characterizing the eye of the user from the fused image; and determining an identity of the user based at least in part on the set of features characterizing the eye of the user.

Abstract: A hearing system includes an eye tracking module to detect a sound region of interest; one or more microphone arrays coupled to the eye tracking module and focused on the detected sound region of interest; and one or more amplifiers wirelessly coupled to the one or more microphone arrays and to render sound from the sound region of interest for one or more ears.

Abstract: Embodiments of the present disclosure provide an iris recognition method applied for an electronic device and includes: capturing a plurality of face image frames of an object to be recognized; determining whether a face contour of the object to be recognized changes based on the plurality of face image frames; and capturing an iris image of the object to be recognized to perform iris recognition when the face contour changes. Further, embodiments of the present disclosure provide an electronic device and a computer-readable storage medium.

Abstract: Systems and methods for eye image set selection, eye image collection, and eye image combination are described. Embodiments of the systems and methods for eye image combination can include assigning an eye pose region of a plurality of eye pose regions to each eye image and determining a representation of an eye pose in each eye image. The set of the determined representations can be fused to generate a hybrid eye image, which can in turn be used to generate an iris code associated with a confidence score.

Abstract: The technology described in this document can be embodied in a method for generating an iris identifier. The method includes obtaining a plurality of images of an iris, and generating a binary code for each of the plurality of images of the iris, the binary code including a sequence of bits. The method also includes identifying a first pattern of bits for which bit values and bit-locations are the same across a plurality of the binary codes, generating a first index based on the first pattern of bits, and then storing the first index on a storage device in accordance with a database management system. The first index is linked to biometric information of a different modality for a corresponding user.

Abstract: An authentication apparatus includes: an illumination device outputting light having a first polarization direction; a camera taking a first eyeball image, a second eyeball image, and a third eyeball image, of the user, which have a second polarization direction, a third polarization direction, a fourth polarization direction, respectively; and a control circuit. The control circuit (a) acquires cornea authentication information and iris authentication information, (b) generates an amplitude image, a phase image, and an average image, using the first eyeball image, the second eyeball image, and the third eyeball image, (c) authenticates a user ID corresponding to the average image, by referring to the iris authentication information, (d) authenticates a user ID corresponding to the amplitude image and the phase image, by referring to the cornea authentication information, and (e) determines a user ID corresponding to the user, using authentication results of the user ID in (c) and (d).

Abstract: The innovation provides for a system and method available to image and visualize the palisades of Vogt via a non-contact process, analyze the image volumes acquired, evaluate the status of the palisades of Vogt from the data represented therein, and display the data in real-time or as a part of a medical record for ongoing consideration and evaluation.

Abstract: A method for iris recognition performed by related products includes the following. A mobile terminal collects a target black-and-white iris image through an iris camera and collects a target color iris image through a front camera, when an iris collecting instruction is received. The target color iris image is displayed in an iris recognition area of a display screen, where the target color iris image is configured to hint a user that the mobile terminal is performing iris recognition. The target black-and-white iris image is processed for iris recognition.

Abstract: A convolutional neural network model distinguishes eyelash images, break-up area images, non-break-up images, sclera images and eyelid images corresponding to a first prediction score, a second prediction score, a third prediction score, a fourth prediction score and a fifth prediction score to respectively produce a first label, a second label, a third label, a fourth label and a fifth label, thereby a break-up area can be detected in a tear film image and a tear film break-up time can be quantized for detection.

Abstract: A method and related terminal device for biometric recognition are provided. The method includes: detecting a target distance between a terminal device and a human face through a distance sensor; capturing an iris image through an iris camera and performing iris recognition based on the iris image, when the target distance falls within an iris recognition distance range; capturing a human face image through a front camera and performing face recognition based on the human face image, when the target distance falls within a human face recognition distance range.

Abstract: A sight vector detecting method includes: capturing a user image by an image capture unit and a depth capture unit to obtain a first image and a distance information; based on the first image and the distance information, finding an eye center location of the user; predicting a user sight location by a gaze model to find a target sight location of the user on a target; based on the eye center location of the user, finding a first word coordinate of the eye center location of the user; based on the target sight location of the user, finding a second word coordinate of the target sight location of the user; and based on the first word coordinate of the eye center location of the user and the second word coordinate of the target sight location of the user, calculating a sight vector of the user.

Abstract: A method of image processing within an image acquisition device. In one embodiment an image including one or more face regions is acquired and one or more iris regions are identified within the one or more face regions. The one or more iris regions are analyzed to identify any iris region containing an iris pattern that poses a risk of biometrically identifying a subject within the image. Responsive to identifying any such iris region, a respective substitute iris region, containing an iris pattern distinct from the identified iris pattern to avoid identifying the subject within the image, is determined and the identified iris region is replaced with the substitute iris region in the original image.

Abstract: Embodiments of the present disclosure relate to mobile terminal technologies, a facial recognition method and related products are provided. The method includes: acquiring a face image by a mobile terminal; extracting face feature information from the face image and matching the face feature information with a predetermined face feature template by a central processing unit (CPU) of the mobile terminal; performing liveness detection according to the face image by a graphics processing unit of the mobile terminal when the CPU extracts the face feature information from the face image and matches the face feature information with the predetermined face feature template.

Abstract: There is provided an image processing device including a motion vector detection portion that performs comparison of a substantially spherical photographic subject such that, among a plurality of captured images including the photographic subject, an image as a processing target and another image as a comparison target are compared using each of the plurality of captured images as the processing target, and which detects a motion vector of a whole three-dimensional spherical model with respect to the processing target, a motion compensation portion that performs motion compensation on the processing target, based on the motion vector of each of the plurality of captured images that is detected by the motion vector detection portion, and a synthesis portion that synthesizes each of the captured images that are obtained as a result of the motion compensation performed by the motion compensation portion.

Abstract: The disclosed apparatus may include a planar substrate including a first dimension, a second dimension perpendicular to the first dimension, and a thickness perpendicular to a plane defined by the first dimension and the second dimension. The planar substrate may include material that is transparent to at least one wavelength band of visible light and at least one wavelength band of infrared light. The apparatus may also include a plurality of reflective segments embedded in the planar substrate and distributed along the plane. The face of each reflective segment may be oblique to the plane. In addition, the reflective segments may be transparent to the wavelength band of visible light and at least partially reflective to the wavelength band of infrared light. Various other systems and methods are also disclosed.

Abstract: An image processing system comprises at least one image sensor comprising a plurality of sub-pixels, and configured to provide a first image plane from a group of first sub-pixels selectively sensitive to a first NIR light band and a second image plane from a group of second sub-pixels selectively sensitive to a second NIR light band. An NIR light source is capable of separately emitting first NIR light corresponding to the first NIR light band and second NIR light corresponding to the second NIR light band. The system can be configured to operate according to at least a first working mode where a face detector is configured to detect at least a first face in the first image plane and a second face in the second image plane at a spatially non-coincident location to the first face.

Abstract: An electronic device for iris recognition and an operating method thereof are provided. The electronic device includes a housing including a first surface, a display exposed through a first region of the first surface, a light emitting unit comprising light emitting circuitry disposed in a second region of the first surface, an image device comprising image acquiring circuitry disposed in a third region of the first surface, at least one processor disposed within the housing and electrically connected with the display, the light emitting unit and the image device, and a memory disposed within the housing and electrically connected with the at least one processor.

Abstract: In some implementations, an image recognition system is capable of using an iterative multi-stage image matching procedure to improve the accuracy and/or reliability of matching a search image with a small number of distinctive feature points to reference images. In the first stage, the system compares a search template for the search image to reference templates of each image within the set of reference images. The system determines a best-matched reference image from among the reference images of the set of reference images. In the second stage, the system compares the hybrid search template to one or more reference templates of reference images that is not the best-matched reference image. The comparison can be used to either compute match scores for reference images corresponding to the one or more reference templates.

Abstract: A method of assessing the possibility of an iris print-attack includes measurement of the eye movement of a person. One or more values (e.g., a feature vector) are determined based on the measured eye movements. Based on the determined values, an assessment is made of whether or not the person is engaging in an iris print-attack.

Abstract: A method of iris recognition comprises detecting a body region larger than and comprising at least one iris in an image and performing a first eye modelling on the detected body region. If successful, the result of first iris segmentation based on the first eye model is chosen. Otherwise, a first iris identification is performed on the detected body region. If successful, the result of second iris segmentation based on a second eye modelling is chosen. Otherwise, second iris identification is performed on the image, third eye modelling is performed on the result of the second iris identification, and third iris segmentation is performed on the result of the third eye modelling. If successful, the result of third iris segmentation based on a third eye modelling is chosen. An iris code is extracted from any selected iris segment of the image.

Abstract: A method for processing camera images in real-time is disclosed. The user starts a process that generates a feed from a mobile device of camera images of a document. An image from the feed is obtained and set as the current image. One or more of a plurality of aspects regarding the image are computed and tested against a threshold. If the aspect fails to satisfy the threshold, then the user is prompted to change the move the mobile device. Once the aspects satisfy their respective thresholds, the camera feed is stopped, the last image is saved, and character recognition of the last image is performed and displayed to the user.

Abstract: A digital imaging system processes digital images of a subject's fundus and/or pupils to determine a pupil edge. Two regions of a digital image are evaluated to determine a threshold value. Typically, the two regions are selected such that each region would usually not include artifacts. The threshold value can then be used to identify a pupil-iris threshold in the digital image. Based on the pupil-iris threshold, pupil edges are identified.

Abstract: A system for conducting an examination of the eyes of a subject includes an examination instrument which emits light at infrared wavelengths, and a shield. The shield provides shielding of the subject's eyes from visible wavelengths. At least a portion of the shield is transparent to the infrared wavelengths emitted by the examination instrument. A related method of conducting an eye examination on a subject includes the step of providing a shield which is transparent to infrared wavelengths but nontransparent to visible wavelengths. The method also includes the step of carrying out the examination with an instrument which is located on the examiner facing side of the shield and which emits the infrared wavelengths to which the shield is transparent. One variant of the method determines parameters relating to the subject's eyes and/or vision using only information considered to be valid, validity being based on the subject's pupil diameter.

Abstract: A system and method for capturing and navigating whole body images that includes capturing a total body image with a wide angle lens camera and simultaneously capturing body part images of the same body using a plurality of high resolution cameras. The total body image is used as a navigational grid that is associated with the high resolution body part images.

Abstract: There is provided a vehicle safety 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: The present disclosure relates to a pupil positioning device and method and a display driver of a virtual reality device. The pupil positioning device includes a preprocessing circuit and a coordinate processing circuit. The preprocessing circuit is configured to receive an eye image, and preprocess the eye image to obtain all boundary points of the eye image. The coordinate processing circuit is configured to perform connected region processing on all the boundary points, and determine coordinates of a center of the pupil according to the maximum connected region.

Abstract: Technologies are presented herein in support of a system and method for performing iris identification and verification using mobile devices. Embodiments of the present invention concern a method for authenticating a user with a mobile device that includes steps for capturing imagery of a user's face, analyzing the imagery to identify the portion of the image depicting the user's eyes and segmenting the eye image to isolate the iris image data and encoding the iris image data in iris template. The present disclosure further describes authenticating the user based on the encoded iris template and additional techniques for preventing erroneous authentication caused by spoofing. In some examples, the anti-spoofing techniques may include capturing one or more images of a user's eyes and analyzing the captured images for indications of liveness based on reflection characteristics depicted in the imagery.

Abstract: The innovation disclosed and claimed herein, in one aspect thereof, comprises systems and methods of authenticating users. The innovation retrieves, based on an authentication request, a registered challenge prompt having a video or series of images that are designed to cause a pupil dilation response in a user and an expected pupil dilation response previously associated with the user. The challenge prompt is displayed to the user and the user's pupil dilation response is recorded. The user's pupil dilation response is compared to the expected pupil dilation response. The user is authenticated based on the pupil dilation response and the expected pupil dilation response being substantially similar.

Abstract: An estimate of distance between a user and a camera on a device is used to determine an illumination pattern density used for speckle pattern illumination of the user in subsequent images. The distance may be estimated using an image captured when the user is illuminated with flood infrared illumination. Either a sparse speckle (dot) pattern illumination pattern or a dense speckle pattern illumination pattern is used depending on the distance between the user's face and the camera.

Abstract: A user terminal apparatus and an iris recognition method thereof are provided. The user terminal apparatus includes an imaging unit configured to generate an image of a user, a display configured to display the generated image, and a controller configured to detect a user eye from the generated image, control the display to display a guide image in a position of the generated image in which the detected user eye is located, and perform iris recognition in response to a difference between a size of an iris included in the detected user eye and a size of the guide image being within a preset range.

Abstract: The present disclosure discloses a living body identification method, an information generation method, and a terminal, and belongs to the field of biometric feature recognition. The method includes: providing lip language prompt information, the lip language prompt information including at least two target characters, and the at least two target characters being at least one of: characters of a same lip shape, characters of opposite lip shapes, or characters whose lip shape similarity is in a preset range; collecting at least two frame pictures; detecting whether lip changes of a to-be-identified object in the at least two frame pictures meet a preset condition, when the to-be-identified object reads the at least two target characters; and determining that the to-be-identified object is a living body, if the preset condition is met.

Abstract: A method for iris recognition performed by related products includes the following. An iris recognition assembly of the terminal device acquires a first iris image. Thereafter, a processor removes a target eyelash image from the first iris image according to an eyelash image template stored in a memory to obtain a second iris image, and utilizes the second iris image to carry out iris recognition.

Abstract: A method of detecting attempted fraud against a system recognising the iris of the human eye includes generation of a first image of an iris using first means of image capture in a visible light spectrum, and generation of a second image of said iris using second means of image capture in a near infra-red spectrum. The method also includes determination of at least one characteristic of the first image as a function of respective optical characteristics of pixels of a plurality of pixels of this first image and determination of at least one characteristic of the second image determined as a function of respective luminous intensities of pixels of a plurality of pixels of this second image. As a function of these determined characteristics, a signal representative of suspected detection of attempted fraud is generated.

Abstract: [Object] To provide a control system, an information processing device, a control method, and a program capable of capturing a clear iris image having no reflected light of illumination without interfering with a user's field of view. [Solution] A control system including: an illumination section configured to irradiate any one of left and right eyes with light; an imaging section configured to image the other eye different from the one of the left and right eyes; and a control section configured to perform control to cause the imaging section to image the other eye while the illumination section is irradiating the one of the left and right eyes with light.

Abstract: A head/eye tracking system comprising an image sensor for acquiring images of a user, a narrow band light source for illuminating the eyes, and a band-pass filter arranged between the eyes and the image acquisition device and having a pass-band corresponding to the emission spectrum of the light source at a predefined operating temperature. The system further comprises a heat source arranged in proximity to the light source and configured to preheat the light source to reach the predefined operating temperature. By shortening the period during which large temperature variation takes place, sub-optimal performance of the system can be accepted during this short period, thereby relaxing the requirements on light source and filter design.

Abstract: An eye point measuring device configured to measure a three-dimensional position of an eye of an occupant sitting on a seat device of a vehicle by using a monocular camera positioned at a fixed position, wherein the eye point measuring device calculates the three-dimensional position of the eye of the occupant based on: a position change amount between a position of the eye of the occupant before the adjustment of the position of the seat device and a position of the eye of the occupant after the adjustment of the position of the seat device in a superimposed image in which an initial image and an after-adjustment image are superimposed on each other; a component, parallel to the superimposed image, of a movement amount of the seat device from a position before the adjustment to a position after the adjustment; and an angle of view of the monocular camera.

Abstract: Disclosed herein are methods for identifying cells undergoing reprogramming and reprogrammed cells from a fluorescence microscopic image of one or more cells. According to some embodiments, the method includes an image processing step, a cell detection step, and, optionally, a clustering step.

Abstract: An information processing apparatus includes a setting unit, a detector and a controller. The setting unit sets setting information associating a registered image obtained by reading an image with control information indicating whether input image data is to be stored or not. The detector detects the registered image from the input image data. The controller controls whether or not the input image data including the registered image is stored in a storage based on the setting information.

Abstract: Systems and methods for robust biometric applications using a detailed eye shape model are described. In one aspect, after receiving an eye image of an eye (e.g., from an eye-tracking camera on an augmented reality display device), an eye shape (e.g., upper or lower eyelids, an iris, or a pupil) of the eye in the eye image is calculated using cascaded shape regression methods. Eye features related to the estimated eye shape can then be determined and used in biometric applications, such as gaze estimation or biometric identification or authentication.

Abstract: A mobile terminal includes a touch screen display, a camera, a power button and an activation button for turning on the touch screen display. The mobile terminal has a first function and a second function to perform in response to user input and provides user settings for configuring at least one of the first and second functions such that the at least one of the first and second functions is performed along with turning on the touch screen display when pressing of the activation button is detected while the touch screen display is turned off. The mobile terminal is configured to perform the first and second functions depending upon length of pressing of the activation button in addition to turning on the touch screen display.

Abstract: Apparatuses, techniques, and methods for a security and/or automation system are described. In some cases, these may include detecting a presence of a person at a location; determine a first identification datum associated with the person; calculating a first probability of identification based at least in part on the first identification datum; determining an identity of the person based at least in part on the first probability; and initiating an action based at least in part on the determined identity.

Abstract: Aspects of the embodiments are directed to systems, methods, and devices for eye gaze tracking. In embodiments, a projective surface, such as a virtual reality display screen or augmented reality projective surface, can project light towards a wearer's eyes. The light can be light representing the shape of the projective surface or can be a displayed shape. The light can be reflected from a cornea. The reflected light from the cornea can be received. A distortion of the shape of the projective surface or displayed shape can be used to determine an eye gaze position.

Abstract: The method and device of present disclosure relates providing content access permission to a user of the device. The device comprises an image capturing unit to scan eyeballs of the user trying to access the device. The scanning results in generation of a current scanned eyeball image. The device further matches the current scanned eyeball image with a previously scanned eyeball image of an authorized user and plurality of scanned eyeball images of plurality of other users. Based on the matching, the device determines the user as the authorized user of the device or a guest. In case of authorized user, the device provides a complete access of the device to the authorized user. However, in case of guest user, the device determines the age of the guest user and then provides the access of contents and functionalities of the device based on the age of the guest user.

Abstract: A user authentication method for an electronic device is provided. The user authentication method includes detecting a content execution event, confirming an authentication level of content related to the detected content execution event, acquiring an appearance image through a camera unit, extracting valid regions related to an iris of a user from the acquired appearance image, and performing an authentication on the user by comparing iris authentication reference information related to a confirmed authentication level with the extracted valid regions.

Abstract: An image processing method for iris recognition of a predetermined subject, comprises acquiring through an image sensor, a probe image illuminated by an infra-red (IR) illumination source, wherein the probe image comprises one or more eye regions and is overexposed until skin portions of the image are saturated. One or more iris regions are identified within the one or more eye regions of said probe image; and the identified iris regions are analyzed to detect whether they belong to the predetermined subject.