An information processing apparatus capable of executing calibration for improving accuracy of gaze detection without causing a user to feel stress. The information processing apparatus, includes a marker control unit that changes, during calibration of an eyewear terminal, a display position of a point-of-regard marker displayed on a display unit of the eyewear terminal; a computational processing unit that computes an optical axis vector expressing a gaze direction of a user by a pupil-corneal reflection method, on a basis of a captured image that includes a user's eye imaged when the eye of the user wearing the eyewear terminal is irradiated with light from a light source, and the point-of-regard marker is displayed at a calibration point; and an evaluation unit that evaluates a variation of the optical axis vector computed for a plurality of the calibration points.

An information processing apparatus capable of executing calibration for improving accuracy of gaze detection without causing a user to feel stress. The information processing apparatus, includes a marker control unit that changes, during calibration of an eyewear terminal, a display position of a point-of-regard marker displayed on a display unit of the eyewear terminal; a computational processing unit that computes an optical axis vector expressing a gaze direction of a user by a pupil-corneal reflection method, on a basis of a captured image that includes a user's eye imaged when the eye of the user wearing the eyewear terminal is irradiated with light from a light source, and the point-of-regard marker is displayed at a calibration point; and an evaluation unit that evaluates a variation of the optical axis vector computed for a plurality of the calibration points.

A method for measuring a tear meniscus including: instilling fluorescein on the surface of a patient's eye to be examined, illuminating the eye to be examined with blue light and capturing an image of the eye to be examined, the image including non-fluorescent blue zones in the absence of fluorescein and fluorescent green zones in the presence of fluorescein, and in which the image analysis includes: identifying the tear meniscus and measuring its height in pixels, identifying the iris and measuring its outer diameter in pixels, calculating a ratio between an estimated or also measured physical diameter of the iris and its measurement in pixels and calculating the physical height of the tear meniscus based on this ratio.

A method for measuring a tear meniscus including: instilling fluorescein on the surface of a patient's eye to be examined, illuminating the eye to be examined with blue light and capturing an image of the eye to be examined, the image including non-fluorescent blue zones in the absence of fluorescein and fluorescent green zones in the presence of fluorescein, and in which the image analysis includes: identifying the tear meniscus and measuring its height in pixels, identifying the iris and measuring its outer diameter in pixels, calculating a ratio between an estimated or also measured physical diameter of the iris and its measurement in pixels and calculating the physical height of the tear meniscus based on this ratio.

A method to self-test vision of a user for use with a handheld vision tester includes receiving image data of the user's face, determining dimensions of the user's face based on the received image data, computing a user viewing distance based on the determined dimensions, displaying a vision test based on the computed user viewing distance, receiving user input responses to the vision test, and outputting results of the vision test from the user input responses.

Computer implemented methods for mobile device, mobile devices and computer programs are utilized for determining the center of rotation of the eye. An image of an eye of a person is captured in at least two positions of the mobile device, and the position of the center of rotation is determined based on the images and the position. In a similar manner, optionally a pupil position may be determined.

Computer implemented methods and devices for determining dimensions or distances of head features are provided. The method includes identifying a plurality of features in an image of a head of a person. A real dimension of at least one target feature of the plurality of features or a real distance between at least one target feature of the plurality features and a camera device used for capturing the image is estimated based on probability distributions for real dimensions of at least one feature of the plurality of features and a pixel dimension of the at least one feature of the plurality of features.

A visual performance examination device includes a display control unit that displays an indicator at each of a plurality of positions in a display screen of a display device; an image data obtaining unit that obtains an image data of eyes of a test subject, which are irradiated with a detection light emitted from a light source; a position calculating unit that, based on the image data, calculates a position data of corneal reflexes of the eyes when each of a plurality of indicators displayed at the positions in the display screen is shown; and an evaluating unit that, based on relative positions of the indicators and relative positions of the corneal reflexes, outputs evaluation data about visual performance of the test subject.

A method comprises: disposing a physical landmark upon an eye of a user; capturing at least one image of the eye of the user with an image sensor while the eye is illuminated, wherein the image includes an image of the physical landmark and at least one other point on the surface of the eye outside of the cornea; processing the at least one image to obtain at least one metric of the eye of the user; and determining, based on the at least one metric, at least one parameter of a daily use contact lens to be worn on the eye of the user.

Pupillometry systems for measuring pupillary characteristics of a patient are shown and described. The pupillometry systems include at least one camera, and a computer system in data communication with the at least one camera, the computer system having a processor and a non-transitory computer-readable storage medium. The non-transitory computer-readable storage medium includes computer-readable instructions for collecting and time stamping the image data, processing the raw image data in such a way as to bring the images into conformance with standardized image parameters, identifying and measuring the one or more pupils in the image data, processing the image data to produce measurement data of change in the one or more pupillary characteristics, calculating a standardized output of measurement data for the one or more pupillary characteristics, and providing a mechanism to share or store this information with other users via a computer network.