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 set selection can include comparing a determined image quality metric with an image quality threshold to identify an eye image passing an image quality threshold, and selecting, from a plurality of eye images, a set of eye images that passes the image quality threshold.

Abstract: An iris recognition system may include an optical system having an intentional amount of spherical aberration that results in an extended depth of field. A raw image of an iris captured by the optical system may be normalized. In some embodiments, the normalized raw image may be processed to enhance the MTF of the normalized iris image. An iris code may be generated from the normalized raw image or the enhanced normalized raw image. The iris code may be compared to known iris codes to determine if there is a match.

Abstract: There is provided an information processing apparatus including a display control unit configured to, when an authentication image including an iris of an eye of a user is obtained, cause a display unit to display an authentication UI for obtaining an authentication image with which it is easy to perform iris authentication.

Abstract: Systems and methods for detecting a live human face in an image are disclosed. The methods and systems are capable of receiving multispectral image data that includes a human face. The multispectral image data can comprise visible light image data and near-infrared (NIR) image data. The multispectral image data can be processed to detect the human face. The detected human face in the visible light image data can be associated with the detected human face in the NIR image data to determine whether the detected human face is a live human face.

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: An authentication method and corresponding apparatus includes obtaining iris images, and constituting an enroll set including iris codes and mask codes corresponding to the iris images. The authentication method and corresponding apparatus also include generating a synthesized code including a synthesized iris code and a synthesized mask code based on correlations between the iris codes included in the enroll set in block units.

Abstract: An apparatus for recognizing an iris is provided. The apparatus includes an image acquisition module configured to acquire a plurality of images, and a processor configured to select at least one image for iris recognition from among the plurality of images based on pupil information of each of the plurality of images, and recognize an iris in at least one image, wherein the pupil information includes at least one of information about a pupil radius and information about a pupil contrast.

Abstract: According to various example embodiments of the present disclosure, an electronic device includes: a light source module comprising a light source and associated circuitry; an iris camera configured to capture an iris of a user using infrared rays radiated from the light source module; and a processor electrically connected with the light source module and the iris camera and configured to generate an image regarding the iris.

Abstract: The invention presents a process for determining a video as being a spoof or a genuine recording of a live biometric characteristic, characterized in that it comprises the steps of: preprocessing (200) the video, determining a liveness score (300) of the video, said determination comprising, for each frame of a plurality of frames (j) of the video: computing a difference between a motion intensity of a current frame and that of each frame of a set of preceding frames to infer a differential motion intensity of the current frame, inferring (330), from the differential motion intensities of the plurality of frames, a motion intensity of the video, comparing (340) said motion intensity to a predetermined threshold, and assigning a liveness score to the video, and determining (400) whether the video is a genuine recording of a biometric characteristic or a spoof.

Abstract: An electronic device is provided. The electronic device includes a sensing circuit and a processor. The processor is configured to captures a plurality of authentication images through the sensing circuit during a specific time, select at least one first image from the authentication images, and perform an authentication based on the at least one first image.

Abstract: An embodiment combines the concepts of image enhancement and pointing to enhance the experience of viewing images by tracking where the viewer is pointing. The result is to make the viewing experience more like viewing the original scene, or to enhance the viewing experience in new ways beyond the original experience, either automatically, or by interacting with a photographer's previously specified intentions for what should happen when the viewer points at a particular portion of an image or images taken by that photographer.

Abstract: Methods, systems, and devices are disclosed for optical sensing and tracking of eye movement. In one aspect, a device for obtaining a user's eye dynamics data includes a display screen to present at least one content. The device includes an eye sensing module to obtain the user's eye dynamics data including the user's eye movement while presenting to the user the at least one content on the display screen. The device includes a processor in communication with the eye sensing module. The processor can determine the user's reaction to the at least one content presented on the display screen based at least partly on the obtained user's eye dynamics data.

Abstract: A line-of-sight detection method includes detecting an eye region of a subject from an image, determining whether a position of a boundary between a pupil and an iris is detected from the image based on a brightness change in the eye region, executing, in accordance with a result of the determining, at least one of first processing in which a position of a center of the pupil is detected based on an outline of the pupil and second processing in which the position of the center of the pupil is detected based on another outline of the iris, and detecting a line of sight of the subject based on the position of the center of the pupil detected by the at least one of the first processing and the second processing.

Abstract: Described herein are systems and methods for detecting a gaze direction and/or pupil dimension of an eye based on an image of the eye. Example systems and methods include: (i) capturing an image of an eye; (ii) based on the image, determining a set of edge pixels corresponding with an edge of a pupil of the eye; (iii) selecting at least one subset of pixels from the set of edge pixels; (iv) fitting an ellipse to each subset of pixels; (v) determining a respective confidence value for each fitted ellipse based on a distance between each pixel of the set of pixels and an edge of the respective fitted ellipse; (vi) determining a best-fit ellipse based on the respective confidence value(s); and (vii) determining, based on the best-fit ellipse, at least one of a gaze direction of the eye or a pupil dimension of the eye.

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 virtual reality headset includes multiple illumination sources emitting light towards a user's eye and an image capture device capturing light reflected by the user's eye. The image capture device captures images of light from the illumination sources reflected by the user's corneas when the user looks at a specific location in the virtual reality headset. Based on locations of light having at least a threshold intensity in the captured images, the position of the center of user's eye's pupil is determined in three dimensions and used to determine a distance between the center of user's eye's pupil and a reference point relative to the illumination sources. Distances between centers of pupils of the user's eyes and reference points are used to determine a distance between the centers of the pupils of the user's eyes and a distance from the corneas to an optical system of the headset.

Abstract: Methods and systems are provided for detecting a defect in a solar panel. The method includes initially imaging, via an infrared camera, a group of solar panels. Then, identifying, via a computer system configured for solar panel defect detection, the individual solar panels in the group of solar panels. Finally, identifying, via evaluation of an infrared image obtained by the infrared camera, a defect in at least one of the group of solar panels.

Abstract: High quality, high contrast images of an iris and the face of a person are acquired in rapid succession in either sequence by a single sensor and one or more illuminators, preferably within less than one second of each other, by changing the data acquisition settings or illumination settings between each acquisition.

Abstract: A device and method of recognizing an iris is provided. An iris recognition device may determine a threshold brightness using a histogram of a reference area from an iris image and exclude a target pixel from iris recognition in a candidate area based on the determined threshold brightness.

Abstract: Iris recognition can be accomplished for a wide variety of eye images by using plenoptic imaging. Using plenoptic technology, it is possible to correct focus after image acquisition. One example technology reconstructs images having different focus depths and stitches them together, resulting in a fully focused image, even in an off-angle gaze scenario. Another example technology determines three-dimensional data for an eye and incorporates it into an eye model used for iris recognition processing. Another example technology detects contact lenses. Application of the technologies can result in improved iris recognition under a wide variety of scenarios.

Abstract: The method includes receiving an image of a user's eye region, selecting pixels included in a central region of the image, calculating an average value of brightness values of a plurality of adjacent pixels among the pixels included in the central region, converting the plurality of adjacent pixels into one pixel having the average value as a brightness value, comparing the brightness values of the converted pixels with a critical value to binarize the converted pixels, so as to create a binarized image, detecting a row including a pixel located at an uppermost end of pixels corresponding to a pupil, from the binarized image and correcting the position of the central region such that the pupil is located at the center of the image, based on position information of the row including the pixel located at the uppermost end of the pixels corresponding to the pupil.

Abstract: An iris verification method is provided. According to the iris verification method, it is possible to determine whether the iris to be authenticated is a real human iris during an iris authentication process. Also, according to the iris verification method, it is possible to determine, with precision, whether iris images to be authenticated are real human iris images.

Abstract: Iris recognition can be accomplished for a wide variety of eye images by using plenoptic imaging. Using plenoptic technology, it is possible to correct focus after image acquisition. One example technology reconstructs images having different focus depths and stitches them together, resulting in a fully focused image, even in an off-angle gaze scenario. Another example technology determines three-dimensional data for an eye and incorporates it into an eye model used for iris recognition processing. Another example technology detects contact lenses. Application of the technologies can result in improved iris recognition under a wide variety of scenarios.

Abstract: A first image set that includes a plurality of 2D images of an eye of a user is collected. Two or more sets of corresponding pixels are generated from the plurality of 2D images. One or more 3D features of an iris of the user is extracted based on repeatable differences in reflectance among each set of corresponding pixels. A test set of 3D features for a submitted eye is generated based on a second image set, the second image set including a plurality of 2D images of the submitted eye. Based on a comparison of the one or more extracted 3D features and the test set of 3D features, an indication is made as to whether the second image set is representative of the user's eye.

Abstract: An electronic device for performing iris authentication, according to various examples of the present invention, can comprise: an image sensor for outputting an image obtained by photographing an eye part; a display for displaying an iris authentication screen image; and a control unit detecting at least a partial region from the captured eye part image so as to perform iris authentication by adjusting display characteristics of the display on the basis of a result obtained by comparing the size of the detected region with the size of a region required for the iris authentication, and various examples are possible.

Abstract: An image processing apparatus includes an image acquiring unit and a controller. The image acquiring unit acquires a captured image capturing a subject illuminated by light from at least one light source. The controller generates adjustment information for adjusting an intensity of the light from the at least one light source on the basis of a size of a pupil of the subject determined from the captured image.

Abstract: Exemplary embodiments are directed to biometric enrollment systems including a camera and an image analysis module. The camera configured is to capture a probe image of a subject, the probe image including an iris of the subject. The image analysis module is configured to determine an iris characteristic of the iris in the probe image. The image analysis module is configured to analyze the probe image relative to a first enrollment image to determine if a match exists based on the iris characteristic. If the match exists, the image analysis module is configured to electronically store the matched probe image as an accepted image. The image analysis module is configured to select and establish the accepted image as a second enrollment image if the accepted image meets enrollment image criteria.

Abstract: A method for measuring the actual distance of a human body based on a cornea image and a method for customizing a spectacle frame. The measurement method comprises the following steps: step 1, acquiring a front-view photograph with at least one dark part of eyes, or capturing a frame of a front-view image with at least one dark part of eyes from a video; step 2, detecting and positioning the first dark part; step 3, determining a max horizontal radius Lp of the first dark part; step 4, determining a proportionality factor ? of an actual linear geometric size to a linear size in the photograph or the frame; and step 5, measuring an actual image distance between any two points, and multiplying the actual image distance by the proportionality factor ? to obtain an actual distance between the two corresponding points on human body.

Abstract: Illumination device maintains distance between eyes of user and object, and lights up desktop with appropriate illuminance. Illumination device includes light source for lighting up desktop, arm mechanism incorporates motor for moving position of light source, face camera detects position of eyes of user, desk cameras detects illuminance distribution on desk, image processing part calculates posture of user and distance between eyes of user and desk, based on face images obtained with face camera and desk images obtained with desk cameras, computation part calculates optimal light source position of light source wherein dispersion of illuminance distribution on desk is minimized, based on posture of user derived with image processing part and illuminance distribution obtained with desk camera, warning part that generates warning, in cases where distance is less than or equal to predetermined value, and control part operates arm mechanism such that light source moves to optimal light source position.

Abstract: Methods, apparatus, and computer-readable media are described herein related to biometric authentication. A first computing device can detect a machine-readable code displayed by a second computing device, where the machine-readable code can identify protected information viewable via the second computing device. In response to detecting the machine-readable code, the first computing device can acquire biometric data via one or more biometric sensors associated with the first computing device. Based at least in part on the biometric data, the first computing device can generate an authentication message that includes authentication information and identifies the protected information. The first computing device can then send the authentication message to an authentication server for verification of the authentication information, where verification of the authentication information can allow access to the protected information via the second computing device.

Abstract: A construction of a dynamic object password (DOP) is initiated by selecting an object from a set of objects in a step of the construction. A transformation is applied to the object to form a transformed object by altering a dynamic aspect of the object. A placement operation is performed on the transformed object relative to a field position of the DOP. As a part of the step, a triple is generated including an identifier of the selected object, an identifier of the transformation, and an identifier of the placement operation. The triple is transmitted as a part of transmitting an authorization code, the authorization code forming the DOP.

Abstract: The present disclosure describes systems and methods of using iris data for authentication. A biometric encoder may translate an image of the iris into a rectangular representation of the iris. The rectangular representation may include a plurality of rows corresponding to a plurality of annular portions of the iris. The biometric encoder may extract an intensity profile from at least one of the plurality of rows, the intensity profile modeled as a stochastic process. The biometric encoder may obtain a stationary stochastic component of the intensity profile by removing a non-stationary stochastic component from the intensity profile. The biometric encoder may remove at least a noise component from the stationary component using auto-regressive based modeling, to produce at least a non-linear background signal, and may combine the non-stationary component and the at least the non-linear background signal, to produce a biometric template for authenticating the person.

Abstract: Biometric enrollment and verification techniques for ocular-vascular, periocular, and facial regions are described. Periocular image regions can be defined based on the dimensions of an ocular region identified in an image of a facial region. Feature descriptors can be generated for interest points in the ocular and periocular regions using a combination of patterned histogram feature descriptors. Quality metrics for the regions can be determined based on region value scores calculated based on texture surrounding the interest points. A biometric matching process for calculating a match score based on the ocular and periocular regions can progressively include additional periocular regions to obtain a greater match confidence.

Abstract: Provided herein is a wireless healthcare system comprising at least one sensor and a base unit adaptable to be in communication with the sensor. The sensor can be is adaptable to communicate with the base unit at a first power during formation of a communication link and is further adaptable to communicate with the base unit at a second power after the communication link has been formed, and wherein the sensor and base unit are components of a wireless healthcare system. The sensor can be a patch adaptable to be positioned on the surface of a patient. Further provided herein is a method of using the wireless healthcare system and kit.

Abstract: A display device includes a two-dimensional array of tiles. Each tile includes a two-dimensional array of pixels and a lens of a two-dimensional array of lenses. Each pixel is configured to output light so that the two-dimensional array of pixels outputs a respective pattern of light. Each lens is configured to direct at least a portion of the respective pattern of light from the two-dimensional array of pixels to a pupil of an eye of a user. The display device also includes an array of sensors for determining a location of the pupil of the eye of the user.

Abstract: An electronic device that includes a vision system carried by a bracket assembly is disclosed. The vision system may include a first camera module that captures an image of an object, a light emitting element that emits light rays toward the object, and a second camera module that receives light rays reflected from the object. The light rays may include infrared light rays. The bracket assembly is designed not only carry the aforementioned modules, but to also maintain a predetermined and fixed separation between the modules. The bracket assembly may form a rigid, multi-piece bracket assembly to prevent bending, thereby maintaining the predetermined separation. The electronic device may include a transparent cover designed to couple with a housing. The transparent cover includes an alignment module designed to engage a module and provide a moving force that aligns the bracket assembly and the modules to a desired location in the housing.

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: Representative embodiments disclose mechanisms for selection of items using eye tracking. One or more primary selection targets are presented to the user. When the user selects a primary selection target, secondary selection targets are presented in close proximity to the primary selection target, either before or after selection of the primary selection target. The secondary selection targets are animated in a way that moves them away from the primary selection target. The user's eye naturally follows the secondary selection target of interest, if any, producing a vector having a magnitude and a direction. The magnitude and direction of the vector are used to identify which, if any, of the secondary selection targets are intended ty the user.

Abstract: An electronic device is able to alter one or more settings of its imager based on the motion of a user that the device is attempting to authenticate. The electronic device, in one implementation, captures a first set of image data of the user (e.g., a video or still photo of the user), detects motion of the user, alters a setting of the imager based on the motion, captures a second set of image data of the user, and authenticates the user based on the second set of image data. In some implementations, the electronic device has multiple imagers, and activates one or more additional imagers based on the detected motion of the user.

Abstract: A method and apparatus for processing a terahertz frequency electromagnetic beam are disclosed. For example, the method receives the terahertz frequency electromagnetic beam via a metamaterial having a plurality of addressable magnetic elements, where a resonant frequency of each of the plurality of addressable magnetic elements is capable of being programmably changed via an adjustment, and activates selectively a subset of the plurality of addressable magnetic elements to manipulate the terahertz frequency electromagnetic beam.

Abstract: A user can be authenticated to a mobile computing device using an authentication process that recognizes the user and verifies that an actual human being is attempting to be authenticated, in order to minimize the ability of another person to spoof the authentication process. A model of a user can be generated and stored in the cloud, enabling that model to be synchronized across various devices. A user accessing one of these devices can have infrared image information captured, which can be used with a facial recognition process, to recognize the user, and with a human verification process, to verify that the facial information corresponds to a human user. Various approaches such as visual analysis and thermal imaging can be used to verify that the human user being recognized is interactive with the device.

Abstract: A signal conditioning circuit for a light sensor, in particular for an ambient light sensor, comprises a first integration stage (INT1) connected to a first sensor input (IN1) to receive a first and second sensor signal and a second integration stage (INT2) comprising a coupling input (IN2) to receive from the first integration stage (INT1) a first and second integrated sensor signal. A coupling stage (S3, C5) is connecting the first and second integration stages (INT1, INT2) and is designed to generate a difference signal from consecutively received integrated first and second integrated sensor signals. A sensor arrangement and a method for signal conditioning for a light sensor is also presented.

Abstract: Systems and techniques for generating a parametric eye model of one or more eyes are provided. The systems and techniques may include obtaining eye data from an eye model database. The eye data includes eyeball data and iris data corresponding to a plurality of eyes. The systems and techniques may further include generating an eyeball model using the eyeball data. Generating the eyeball model includes establishing correspondences among the plurality of eyes. The systems and techniques may further include generating an iris model using the iris data. Generating the iris model includes sampling one or more patches of one or more of the plurality of eyes using an iris control map and merging the one or more patches into a synthesized texture. The systems and techniques may further include generating the parametric eye model that includes the eyeball model and the iris model.

Abstract: A system and method for generating compact iris representations based on a database of iris images includes providing full-length iris codes for iris images in a database, where the full-length iris code includes a plurality of portions corresponding to circumferential rings in an associated iris image. Genuine and imposter score distributions are computed for the full-length iris codes, and code portions are identified that have a contribution that provides separation between imposter and genuine distributions relative to a threshold. A correlation between remaining code portions is measured. A subset of code portions having low correlations within the subset is generated to produce a compact iris representation.

Abstract: A method and an apparatus for recognizing an iris is provided. The method of recognizing an iris in an electronic apparatus includes displaying a preview image by driving a regular camera, displaying an iris recognition area corresponding to an iris recognition camera in the preview image, determining whether an iris image exists in the iris recognition area, and obtaining image information from the iris recognition camera and performing iris recognition, when the iris image exists in the iris recognition area.

Abstract: Techniques for capturing images are described. In one scenario, one or more processors of an imaging device can obtain geodata information and time information associated with the imaging device. The geodata and time information is obtained prior to capturing a first image. Next, one or more second images can be identified from a database of images based on the geodata information and the time information. The processor(s) can be communicatively coupled to the database via a communications network. Additionally, the one or more processors can determine one or more image capture conditions associated with the one or more second images; and automatically modify one or more settings of the imaging device to be used for capturing the first image. The settings can be modified based on at least one of the one or more image capture conditions associated with the one or more second images. Other embodiments are possible.

Abstract: An approach for an iris liveness detection is provided. A plurality of image pairs is acquired using one or more image sensors of a mobile device. A particular image pair is selected from the plurality of image pairs, and a hyperspectral image is generated for the particular image pair. Based on, at least in part, the hyperspectral image, a particular feature vector for the eye-iris region depicted in the particular image pair is generated, and one or more trained model feature vectors generated for facial features of a particular user of the device are retrieved. Based on, at least in part, the particular feature vector and the one or more trained model feature vectors, a distance metric is determined and compared with a threshold. If the distance metric exceeds the threshold, then a first message indicating that the plurality of image pairs fails to depict the particular user is generated.

Abstract: A system and method for generating compact iris representations based on a database of iris images includes providing full-length iris codes for iris images in a database, where the full-length iris code includes a plurality of portions corresponding to circumferential rings in an associated iris image. Genuine and imposter score distributions are computed for the full-length iris codes, and code portions are identified that have a contribution that provides separation between imposter and genuine distributions relative to a threshold. A correlation between remaining code portions is measured. A subset of code portions having low correlations within the subset is generated to produce a compact iris representation.

Abstract: A method of determining the identity of a subject while the subject is walking or being transported in an essentially straight direction is disclosed, the two dimensional profile of the subject walking or being transported along forming a three dimensional swept volume, without requiring the subject to change direction to avoid any part of the system, comprising acquiring data related to one or more biometrics of the subject with the camera(s), processing the acquired biometrics data, and determining if the acquired biometric data match corresponding biometric data stored in the system, positioning camera(s) and strobed or scanned infrared illuminator(s) above, next to, or below the swept volume. A system for carrying out the method is also disclosed.

Abstract: An eye tracker for determining a position of an eye, which may be integrated into a head-mounted display. The eye tracker includes at least one waveguides with an array of grating structures, an array of light sources, a detector, and a controller. The controller activates at least one light source at a time to emit at least one light beam that propagates through the at least one waveguide and couple out via the array of grating structures towards a user's eye. Light signals reflected from the user's eye and skin surfaces are coupled into the at least one waveguide and propagate to the detector that captures the reflected light signals. The controller calculates magnitudes of the reflected light signals to obtain a signature of converted light signals, and determines a position and orientation of the user's eye based on the signature of converted light signals.