Abstract: A method for automatically determining at least one parameter associated with an ophthalmic device selected by an individual, said device comprising a frame referred to as selected frame, said determination being carried out from an acquired image of the face of the individual wearing the selected frame or a frame of a second ophthalmic device. The method includes the steps of: detecting at least one characteristic point of at least one eye of the individual the acquired image and estimating the three-dimensional position of the one or more characteristic point(s) detected; detecting the frame worn and estimating the three-dimensional position of the frame worn by aligning a three-dimensional representation of the frame worn with the frame worn in the acquired image; and determining the one or more parameters from the relative position of the eyes with respect to the three-dimensional representation of the selected frame.

Abstract: A method for automatically determining at least one parameter associated with an ophthalmic device selected by an individual, said device comprising a frame referred to as selected frame, said determination being carried out from an acquired image of the face of the individual wearing the selected frame or a frame of a second ophthalmic device. The method includes the steps of: detecting at least one characteristic point of at least one eye of the individual the acquired image and estimating the three-dimensional position of the one or more characteristic point(s) detected; detecting the frame worn and estimating the three-dimensional position of the frame worn by aligning a three-dimensional representation of the frame worn with the frame worn in the acquired image; and determining the one or more parameters from the relative position of the eyes with respect to the three-dimensional representation of the selected frame.

Abstract: Disclosed is a method for determining at least one ocular measurement (pupillary distance, mono pupillary distance and/or heights) of a user, using a consumer-type digital image sensor. The method uses at least one image of the user's head, acquired by the image sensor and containing an object of known size. The calibration parameters of the camera are unknown or known with little precision.

Abstract: A method for determining ocular and optical measurements for the production and fitting of corrective eyeglasses for a user with the aid of the a camera. The method utilizes a protocol for reconstructing the system of the user's eyes in three dimensions by modeling the system of the eye, thereby providing precise ocular and optical measurements. The method uses test objects that are connected or not connected to the user's face.

Abstract: A method for generating a real-time realistic-looking image of a pair of virtual glasses positioned on a real user face image issued from a single image, a bundle of pictures, a video clip or a real-time camera streams. A face analysis element estimates the 3D rotation matrix, the 3D translation vector, morphology parameters of the user's face. A glasses positioning element associated with a try-on mode for look or real-size simulation estimates the 3D rotation matrix, the 3D translation vector, global and local deformation parameters of the virtual glasses, and arms articulation, adapted to the morphology parameters computed by the face analysis element. A realistic rendering element mixes the real user face image with the virtual glasses positioned by the glasses positioning element.

Abstract: A method of generating a digital model of a lens of a pair of glasses from images of the pair of glasses with an uniform background. The images being taken with a camera of an acquisition device. A silhouette of the lens is generated by clipping the lens in the taken images. A processor is configured to project the silhouette on a 3D surface of the digital model, adjust a surface of degree 2 to the projected silhouette, cut the adjusted surface according to the projected silhouette, extrude the adjusted surface from the 3D surface to obtain the desired thickness of the lens, and apply a realistic texture on the digital model of the lens. The texture depends of the angle of view of the lens.

Abstract: A method of constructing images of a lens of a pair of glasses from an image of the pair of glasses with an uniform background. The image being taken with a numerical acquisition device. A silhouette of the lens is generated by clipping the lens in the taken image. A digital model of the lens is generated by a processor. The processor is configured to project the silhouette on a 3D surface of the digital model, adjust a surface of degree 2 to the projected silhouette, cut the adjusted surface according to the projected silhouette, extrude the adjusted surface from the 3D surface to obtain the desired thickness of the lens, and apply a realistic texture on the digital model of the lens. The texture depends of the angle of view of the lens.

Abstract: A method for generating a real-time realistic-looking image of a pair of virtual glasses positioned on a real user face image issued from a single image, a bundle of pictures, a video clip or a real-time camera streams. A face analysis element estimates the 3D rotation matrix, the 3D translation vector, morphology parameters of the user's face. A glasses positioning element associated with a try-on mode for look or real-size simulation estimates the 3D rotation matrix, the 3D translation vector, global and local deformation parameters of the virtual glasses, and arms articulation, adapted to the morphology parameters computed by the face analysis element. A realistic rendering element mixes the real user face image with the virtual glasses positioned by the glasses positioning element.

Abstract: Disclosed is a method for determining at least one ocular measurement (pupillary distance, mono pupillary distance and/or heights) of a user, using a consumer-type digital image sensor. The method uses at least one image of the user's head, acquired by the image sensor and containing an object of known size. The calibration parameters of the camera are unknown or known with little precision.

Abstract: A method for producing dynamic photorealistic 3D models for digitizing a three-dimensional object, that may include including transparent or reflective parts such as a pair of glasses, is adaptive for visualization and real time fitting, and includes movable fastening of the object to a support, pivoting about a vertical axis, placed opposite at least two vertically spaced image shooting devices, acquisition of object images by the image shooting devices during a rotation of the object about the vertical axis, and colorimetric correction of the acquired images.

Abstract: A method of detecting a predefined set of characteristic points of a face from an image of the face includes a step of making the shape and/or the texture of a hierarchy of statistical models of face parts converge over real data supplied by the image of the face.

Abstract: A method for determining ocular and optical measurements for the production and fitting of corrective eyeglasses for a user with the aid of the a camera. The method utilizes a protocol for reconstructing the system of the user's eyes in three dimensions by modeling the system of the eye, thereby providing precise ocular and optical measurements. The method uses test objects that are connected or not connected to the user's face.

Abstract: Disclosed is model and a method for producing dynamic photorealistic 3D models that is adaptive for visualization and real time fitting. The invention aims at a method for digitizing a three-dimensional object possibly including transparent or reflective parts from two-dimensional views of this object, the method including: A step for movable fastening of the object to a support, pivoting about a vertical axis, placed opposite at least two vertically spaced image shooting devices, A step for acquisition of object images by the image shooting devices during a rotation of the object about the vertical axis, A colorimetric correction step for the acquired images.

Abstract: A method of detecting a predefined set of characteristic points of a face from an image of the face includes a step of making the shape and/or the texture of a hierarchy of statistical models of face parts converge over real data supplied by the image of the face.