Techniques are disclosed for systems and methods to provide improved ocular aberrometry recovery. An ocular aberrometry system includes a wavefront sensor configured to provide wavefront sensor data associated with an optical target monitored by the ocular aberrometry system and a logic device configured to communicate with the wavefront sensor. The logic device is configured to receive ocular aberrometry output data including at least the wavefront sensor data provided by the wavefront sensor, identify imaging artifact induced singularities in the received ocular aberrometry output data, determine corrected aberrometry output data based, at least in part, on the identified singularities and the received ocular aberrometry output data, and generate user feedback corresponding to the received ocular aberrometry output data based, at least in part, on the corrected aberrometry output data.

An ocular measurement system including an integrated measurement subsystem including at least a refraction measurement module for measuring at least refraction of an eye of a subject and a corneal measurement module integrated with the refraction measurement module for measuring at least a thickness and a shape of a cornea of the eye and an axial length finding subsystem for finding an axial length of the eye, based on taking into account at least the refraction of the eye and the thickness and the shape of the cornea.

An analytic tool for supporting alignment of an optical component in preparation for an interferometric test and performance of such a test. Apparatus and methods involve employment of the datum features on the optical component and/or metrology frame supporting such component. The metrology frame may include a secondary set of holograms (provided for use with a conventional system already employing a primary hologram that forms the testing optical wavefront). The conventional primary hologram is preferably substituted with a set of primary holograms (contained in the same, unitary or spatially-complementary housing sets) that perform different but complementary functions and that facilitate the alignment of the metrology frame with or without the tested optical component.

An optical device includes: an imaging optical system configured to form an image of a subject; an imaging element configured to output an image signal of the image of the subject that is formed by the imaging optical system; a spatial modulation element configured to change a phase of a wavefront in a pupil of the imaging optical system; and a control unit configured to control the spatial modulation element on the basis of the image signal output by the imaging element.

An apparatus, and corresponding method, for determining a property of an eye includes a housing with a proximal port that receives an eye and also light from the eye. The housing further includes a distal port, and the two ports together form a visual channel providing an open view to enable the eye to see target indicia external to and spaced away from the housing. A wavefront sensor within the housing is configured to receive the light from the eye via the optical path and to measure a wavefront of the light. A determination module determines an objective refractive correction based on the wavefront and predicts a subjective refractive preference of a person having the eye based on the objective refractive correction. Embodiments can be handheld, and binocular, and predict subjective refraction based on demographic and other information.

An augmented reality AR system and method for a retail experience include a waveguide apparatus that includes a planar waveguide and at least one optical diffraction element The AR retail system and method recognizes user location in a retail establishment, retrieves data corresponding to the retail establishment and generates virtual content relating to the retail establishment based on the retrieved data. The AR retail system and method creates a virtual user interface in a user's field of view. Virtual content is displayed on the virtual user interface while the user is engaged in retail activity and may be based on user input. The AR retail system and method may provide entertainment, facilitate the shopping experience, offer virtual coupons, render games based on locations throughout a store or based on a shopping list, provide information about food choices such as calorie counts, and identify metadata associated with items.

An augmented reality AR system and method for a retail experience include a waveguide apparatus that includes a planar waveguide and at least one optical diffraction element The AR retail system and method recognizes user location in a retail establishment, retrieves data corresponding to the retail establishment and generates virtual content relating to the retail establishment based on the retrieved data. The AR retail system and method creates a virtual user interface in a user's field of view. Virtual content is displayed on the virtual user interface while the user is engaged in retail activity and may be based on user input. The AR retail system and method may provide entertainment, facilitate the shopping experience, offer virtual coupons, render games based on locations throughout a store or based on a shopping list, provide information about food choices such as calorie counts, and identify metadata associated with items.

The invention relates to a method for acquiring an image by an imager (20) comprising a matrix of pixels configured to generate an electric response when exposed to an incident light flux travelling through an optical path (21) in which is arranged a wavefront correction element (22), comprising the following steps: 1) initiating the exposure of the pixels to the incident light flux; 2) for a plurality of iterations during the exposure: 2.1) non-destructive reading of the electric responses of pixels of a region of interest; 2.2) determining an evolution of the spatial distribution of pixels in logarithmic mode previous iteration with respect to the previous iteration; 2.3) based on said evolution, establishing a command for the wavefront correction element (22) in order to correct the wavefront; 2.4) configuring the wavefront correction element, 3) reading the electric responses of the pixels resulting in an image.

In classifying images by machine learning, provided are an image classification method, device, and program for classifying the image from which the feature difference is hardly detected, in particular, classifying the interference fringe image of tear fluid layer by the dry eye types. The method includes a step of acquiring a feature value from an interference fringe image of tear fluid layer for learning, a step of constructing a model for classifying an image from the feature value acquired from the interference fringe image of tear fluid layer for learning, a step of acquiring the feature value from an interference fringe image of tear fluid layer for testing, and a step of performing classification processing for classifying the interference fringe image of tear fluid layer for testing by types of dry eye using the model and the feature value acquired from the interference fringe image of tear fluid layer.

Apparatus, methods, and a computer program for determining a refraction of an eye are disclosed. An apparatus for determining an objective refraction of an eye is disclosed where the apparatus includes an optical element configured to compensate an aberration of the eye.