Systems and methods for eyelid shape estimation are disclosed. In one aspect, after receiving an eye image of an eye (e.g., from an image capture device), an eye pose of the eye in the eye image is determined. From the eye pose, an eyelid shape (of an upper eyelid or a lower eyelid) can be estimated using an eyelid shape mapping model. The eyelid shape mapping model relates the eye pose and the eyelid shape. In another aspect, the eyelid shape mapping model is learned (e.g., using a neural network).

An image processing method includes receiving an image frame, detecting a face region of a user in the image frame, aligning a plurality of preset feature points in a plurality of feature portions included in the face region, performing a first check on a result of the aligning based on a first region corresponding to a combination of the feature portions, performing a second check on the result of the aligning based on a second region corresponding to an individual feature portion of the feature portions, redetecting a face region based on a determination of a failure in passing at least one of the first check or the second check, and outputting information on the face region based on a determination of a success in passing the first check and the second check.

An authentication apparatus (2) includes: an iris authentication unit (217) for authenticating an authentication target based on iris feature information related to feature of an iris of the authentication target in a captured image (100) obtained by capturing an image of the authentication target (TP); and an image determination unit (214) for determining, based on face feature information related to feature of a face of the authentication target in the captured image, whether or not the captured image satisfies a predetermined condition that should be satisfied as an image used to authenticate the authentication target by using the iris feature information, an operation of the iris authentication unit in a case where it is determined that the captured image satisfies the predetermined condition is different from an operation of the iris authentication unit in a case where it is determined that the captured image does not satisfy the predetermined condition.

An information presenting system includes: a specification unit that specifies a position of a biological part used for authentication from information about a target person; a setting unit that sets an imaging area in which the biological part is imaged, in accordance with the specified position of the biological part; and a presentation unit that presents information indicating the imaging area at a position that allows an overlap of the biological part. According to this information presenting system, information about biometric authentication can be appropriately presented to the target person, so that an authentication process can be performed normally.

The embodiments of the present disclosure disclose gaze estimation cross-scene adaptation method and device based on outlier guidance. A specific implementation of the method comprises: performing pre-training on a source domain based on a given arbitrary gaze estimation model, to obtain a collaborative learning model group; determining an average collaborative model corresponding to each collaborative learning model in the collaborative learning model group, to obtain an average collaborative model group; generating an outlier corresponding to the collaborative learning model group based on a target image, the collaborative learning model group and the average collaborative model group; using an outlier loss function and the outlier to optimize the collaborative learning model group; using any collaborative learning model in the optimized collaborative learning model group to perform gaze estimation. This implementation can effectively stabilize the cross-domain adaptation process and improve the scalability of the system.

The present disclosure relates to an image processing method and device, an electronic apparatus and a storage medium. The method comprises: acquiring an iris image group comprising at least two iris images to be compared; detecting iris locations in the iris images and segmentation results of iris areas in the iris images; performing multi-scale feature extraction and multi-scale feature fusion on an image area corresponding to the iris locations, to obtain iris feature maps corresponding to the iris images; performing comparison using the segmentation results and the iris feature maps respectively corresponding to the at least two iris images, and determining whether the at least two iris images correspond to the same object based on a comparison result of the comparison. Embodiments of the present disclosure realize accurate comparison of iris images.

A camera system comprising a body that contains a lens with a range of focus settings and an image sensor operable to record an image. The camera system has a controller operably connected to the sensor to receive the image, and the controller is operably connected to the lens to control the focus setting. The controller is operable to focus the lens on a selected point, and the controller is operable to determine at least two different first and second subject elements. The controller is operable to focus the lens on the first subject and record a first image, and the controller is operable to focus the lens on the second subject and record a second image.

A method for biometric identification or authentication is described. An image of a body region is obtained. A truth map for said body region is obtained, said truth map associating, with each portion of a set of portions of said image of a body region, a probability that said portion belongs to a true body region. The image of the body region is then compared with a group of reference biometric data using the truth map. Finally, the identification or authentication of said body region is validated or invalidated in response to said comparison.

An aircraft-based pilot safety system (PSS) includes cameras or other gaze sensors fixed at an aircraft pilot and configured to capture an image stream focused on the pilot's eyes. The gaze sensors continually assess the gaze direction of the pilot (e.g., toward a display, instrument panel, and/or indicator within the cockpit that the pilot is currently looking at or focusing on) and thereby can establish when the pilot is executing a scan pattern and if that scan pattern is nominal for the current flight context by comparing the scan pattern to context-specific reference scan patterns. If, for example, the pilot's gaze deviates from where it should be (e.g., as determined by the current flight segment) or the current scan pattern is interrupted, the system may prompt the pilot to redirect their gaze or resume the scan pattern.

A computer implemented method and system for fitting eyeglasses captures images of the consumer while naturally trying-on frames in the normal course of selecting new frames. The system and method capture natural images of frame placement and using gaze prediction and eye tracking techniques ascertain eye measurements for accurate placement of the prescription within new eyewear.