Abstract: Centration parameters for fitting spectacle lenses to a predetermined spectacle frame and to the head of a subject are determined with a computer-implemented method. At least two calibrated images, recorded from different recording directions, of the head of the subject wearing the spectacle frame are provided, wherein geometric parameters are established by geometric position determination. The geometric parameters describe the position of the eyes and the geometry of the spectacle frame, and the centration parameters are calculated from the geometric parameters. Further, a three-dimensional model for the spectacle lenses, which are to be received in the spectacle frame, is fitted to the geometry of the geometric parameters that describe the geometry of the spectacle frame.

Abstract: Centration parameters for fitting spectacle lenses to a predetermined spectacle frame and to the head of a subject are determined with a computer-implemented method. At least two calibrated images, recorded from different recording directions, of the head of the subject wearing the spectacle frame are provided, wherein geometric parameters are established by geometric position determination. The geometric parameters describe the position of the eyes and the geometry of the spectacle frame, and the centration parameters are calculated from the geometric parameters. Further, a three-dimensional model for the spectacle lenses, which are to be received in the spectacle frame, is fitted to the geometry of the geometric parameters that describe the geometry of the spectacle frame.

Abstract: Centration parameters for fitting spectacle lenses to a predetermined spectacle frame and to the head of a subject are determined with a computer-implemented method. At least two calibrated images, recorded from different recording directions, of the head of the subject wearing the spectacle frame are provided, wherein geometric parameters are established by geometric position determination. The geometric parameters describe the position of the eyes and the geometry of the spectacle frame, and the centration parameters are calculated from the geometric parameters. Further, a three-dimensional model for the spectacle lenses, which are to be received in the spectacle frame, is fitted to the geometry of the geometric parameters that describe the geometry of the spectacle frame.

Abstract: A computer-implemented method for determining centring is disclosed. At least two calibrated images of the head which are captured simultaneously from different viewing directions are provided, and geometric parameters which describe the position of the eyes are determined by geometric position determination. A three-dimensional data set describing geometric parameters of the frame front is provided; the geometric parameters of the frame front and the geometric parameters describing the position of the eyes are brought into relation to each other with a rigid transformation; and the centring parameters are calculated from the geometric parameters describing the frame front and those describing the position of the eyes.

Abstract: Centration parameters for fitting spectacle lenses to a predetermined spectacle frame and to the head of a subject are determined with a computer-implemented method. At least two calibrated images, recorded from different recording directions, of the head of the subject wearing the spectacle frame are provided, wherein geometric parameters are established by geometric position determination. The geometric parameters describe the position of the eyes and the geometry of the spectacle frame, and the centration parameters are calculated from the geometric parameters. Further, a three-dimensional model for the spectacle lenses, which are to be received in the spectacle frame, is fitted to the geometry of the geometric parameters that describe the geometry of the spectacle frame.

Abstract: A method for providing a mounting edge model, a corresponding computer program, and a corresponding computing device are disclosed. To provide the mounting edge model, first a plurality of data sets is provided, each of which describes a course of a mounting edge. Such data sets can be obtained from tracer data, for example. On the basis of the data sets, a parametric mounting edge model is then derived.

Abstract: A computer-implemented method for determining a representation of a rim of a spectacles frame or a representation of the edges of the spectacle lenses is disclosed, wherein at least two calibrated images taken from different viewing angles of a head a subject wearing the spectacles frame or the spectacles are provided, and wherein data for at least portions of the rims of the spectacles frame or the edges of the lenses are detected in each image. Further, a three-dimensional model of the spectacles frame or the spectacles is provided, based on geometric parameters, and the geometric parameters are optimised to adapt the model to the detected edges.

Abstract: A computer-implemented method for determining centring is disclosed. At least two calibrated images of the head which are captured simultaneously from different viewing directions are provided, and geometric parameters which describe the position of the eyes are determined by geometric position determination. A three-dimensional data set describing geometric parameters of the frame front is provided; the geometric parameters of the frame front and the geometric parameters describing the position of the eyes are brought into relation to each other with a rigid transformation; and the centring parameters are calculated from the geometric parameters describing the frame front and those describing the position of the eyes.

Abstract: A computer-implemented method for establishing the representation of the edge of a spectacle lens or of a left spectacle lens and a right spectacle lens for a spectacle wearer is disclosed. The method includes: providing image data relating to the spectacle wearer with a worn spectacle frame; calculating information data derived from the image data; calculating a deterministically optimizable cost function linking the information data with spectacle lens data, wherein the spectacle lens data describe the spatial extent of at least one spectacle lens held in the spectacle frame; and setting a curve of an edge of the spectacle lens or of the left spectacle lens and the right spectacle lens by optimizing the cost function.

Abstract: A method for providing a mounting edge model, a corresponding computer program, and a corresponding computing device are disclosed. To provide the mounting edge model, first a plurality of data sets is provided, each of which describes a course of a mounting edge. Such data sets can be obtained from tracer data, for example. On the basis of the data sets, a parametric mounting edge model is then derived.

Abstract: A computer-implemented method for determining a representation of a rim of a spectacles frame or a representation of the edges of the spectacle lenses is disclosed, wherein at least two calibrated images taken from different viewing angles of a head a subject wearing the spectacles frame or the spectacles are provided, and wherein data for at least portions of the rims of the spectacles frame or the edges of the lenses are detected in each image. Further, a three-dimensional model of the spectacles frame or the spectacles is provided, based on geometric parameters, and the geometric parameters are optimised to adapt the model to the detected edges.

Abstract: Centration parameters for fitting spectacle lenses to a predetermined spectacle frame and to the head of a subject are determined with a computer-implemented method. At least two calibrated images, recorded from different recording directions, of the head of the subject wearing the spectacle frame are provided, wherein geometric parameters are established by geometric position determination. The geometric parameters describe the position of the eyes and the geometry of the spectacle frame, and the centration parameters are calculated from the geometric parameters. Further, a three-dimensional model for the spectacle lenses, which are to be received in the spectacle frame, is fitted to the geometry of the geometric parameters that describe the geometry of the spectacle frame.

Abstract: A computer-implemented method detects the position of a corneal vertex of an eye from a frontal image of a head and a lateral image of the head. The front and lateral images are calibrated to one another, and the position of the corneal vertex in space is determined from the frontal image and the lateral image with a geometric position determination.

Abstract: A computer-implemented method for establishing the representation of the edge of a spectacle lens or of a left spectacle lens and a right spectacle lens for a spectacle wearer is disclosed. The method includes: providing image data relating to the spectacle wearer with a worn spectacle frame; calculating information data derived from the image data; calculating a deterministically optimizable cost function linking the information data with spectacle lens data, wherein the spectacle lens data describe the spatial extent of at least one spectacle lens held in the spectacle frame; and setting a curve of an edge of the spectacle lens or of the left spectacle lens and the right spectacle lens by optimizing the cost function.

Abstract: A computer-implemented method detects the position of a corneal vertex of an eye from a frontal image of a head and a lateral image of the head. The front and lateral images are calibrated to one another, and the position of the corneal vertex in space is determined from the frontal image and the lateral image with a geometric position determination.