A method for generating modified eyeglass frame manufacturing data including the following steps: a. providing a plurality of eyeglass frames; b. selecting one frame among the plurality of eyeglass frames; c. determining data relative to the selected frame; d. modifying the determined data whilst respecting at least one predetermined conception rule, so as to obtain modified data; and e. computing the modified data obtained by the modification so as to generate modified eyeglass frame manufacturing data.

Providing an eyeglasses frame in a fully automatized manner includes: (d) obtaining a set of data relating to a 3D representation of the frame, from: (a) initial information relating to an initial representation of the frame; and (b) at least one wearer parameter, possibly automatically modified; and (c) at least one frame parameter, possibly automatically modified; and taking account of at least one constraint or automatically modified constraint, relating to geometry of the frame; and automatically providing the 3D representation from the obtained set of data; (e) applying an evaluation criterion to determine whether the 3D representation satisfies the constraint or automatically modified constraint and, if not, (f) iterating obtaining (d) and applying (e) with the automatically modified wearer parameter and/or with the automatically modified frame parameter and/or with the automatically modified constraint, to automatically provide a constraint-compliant set of data relating to a final representation of the frame.

Information is stored in an optical element in the form of a glass or plastic body embodied as spectacles lens, spectacles lens blank or spectacles lens semi-finished product. The information in the form of data is stored on or in the glass or plastic body by creating at least one marking with a marking system. The marking can be read by a reading apparatus. The marking system has an interface for reading information individualizing the optical element. The marking is created permanently by the marking system on or in the optical element at a definition point of a local body-specific coordinate system set by two points on or in the optical element. In this body coordinate system, the manufacturer specifies the position of the lens horizontal and/or the far and/or the near and/or the prism reference point.

A lensmeter system may include a mobile device having a camera. The camera may capture a first image of a pattern through a lens that is separate from the camera, while the lens is in contact with a pattern. The mobile device may determine the size of the lens based on the first image and known features of the pattern. The camera may capture a second image of the pattern, while the lens is at an intermediate location between the camera and the pattern. The second image may be transformed to an ideal coordinate system, and processed determine a distortion of the pattern attributable to the lens. The mobile device may measure characteristics of the lens based on the distortion. Characteristics of the lens may include a spherical power, a cylinder power, and/or an astigmatism angle.

Glasses are used to determine a color of each position of a face of a user by a computer system based on first image data (with-glasses face image) obtained by capturing an image of the user wearing the glasses, and second image data (no-glasses face image) obtained by capturing an image of the user without the glasses. The glasses include a position determination marker at a predetermined position and has a predetermined color (color pattern) at a predetermined position. The computer system determines the color of each position of the face of the user based on the first image data and the second image data using the marker and the color.

The supply systems for providing spectacle ophthalmic lenses have improved efficacy, in particular with respect to lens blank picking performance and/or lens manufacturing performance.

Methods and devices related to spectacle frame recommendation are provided. For configuring a device for frame recommendation, frame data is clustered into a plurality of frame data clusters, and head data is clustered into a plurality of head data clusters. A mapping between the head data clusters and the frame data clusters is performed. For recommendation of a frame to a person, head data of the person is obtained, and a head data cluster is identified based on the head data. Based on the identified head data cluster and the mapping, a frame data cluster is selected which forms the basis for the recommendation.

Various aspects of the subject technology relate to systems, methods, and machine-readable media for virtual fitting of items such as spectacles and/or spectacle frames. A user interface for virtual fitting may be implemented at a server or at a user device, and utilize three-dimensional information for the user and three-dimensional information for each frame, with frame information stored in a frame database, to identify and/or recommend frames that are likely to fit the user. Fit information can be provided for a group of frames or for each individual frame selected by the user. The fit information can be provided with a static image of the frames and/or within a virtual try-on operation in which the frames are virtually placed on a real-time image of the user.

A system and method of detecting display fit measurements and/or ophthalmic measurements for a head mounted wearable computing device including a display device is provided. The system and method may include capturing image data including a face of a user to be fitted for the head mounted wearable computing device. A three-dimensional head pose and gaze measurements may be extracted and a three-dimensional model may be developed from the captured image data. The system may detect display fit measurements and/or ophthalmic fit measurements from the three-dimensional model, and may provide one or more head mounted wearable computing devices that meet the display fit and/or ophthalmic fit requirements.

A method implemented on a computing device having at least one processor, storage, and a communication platform connected to a network may include: obtaining a head image of a user with one or more dimension indicators, determining an eye region in the head image of the user and determining a pupillary distance of the user based on the one or more dimension indicators and the determined eye region. A method implemented on a computing device having at least one processor, storage, and a communication platform connected to a network may include: receiving a request at a user terminal, recording a video of a user wearing a wearable device with the user terminal, determining a pupillary distance of the user based on the video and synchronously displaying the pupillary distance on the video of the user during recording. The wearable device may include one or more dimension indicators.