Patent classifications
G06T2215/00
Method allowing an individual to realistically try on a pair of spectacles virtually
A method for generating a final image of an individual from an initial image of the individual acquired by a camera, the image being a still or contained in a video stream. The method includes detecting the face of the individual in the initial image, realistic positioning of a virtual frame on the face of the individual, generating an overlay that is superimposed on the initial image, the overlay comprising a projection of all or a portion of the virtual frame, generating the final image by merging the overlay with the initial image. The frame includes at least one ophthalmic lens characterized by an optical correction and/or an optical treatment. The method also includes, before the final step, a step of calculating the rendering of the ophthalmic lens according to the refraction of the ophthalmic lens and of a depth map of the initial image.
TARGET IDENTIFICATION FOR VEHICLE SEE-THROUGH APPLICATIONS
Examples of the disclosure relate to example systems and methods for operating a see-through display for a vehicle. An example system includes a video camera positioned to capture video related to a vehicle structure that blocks a view of the driver. The system also includes a see-through display disposed inside the vehicle between the vehicle structure and the driver. The system also includes a processor configured to identify a closest object within a field of view of the video camera, determine a distance to the closest object, and process the captured video based, at least in part, on the distance to determine a portion of the captured video to be displayed on the see-through display. The processor renders the portion of the captured video to create a see-through effect relative to the vehicle structure.
METHOD ALLOWING AN INDIVIDUAL TO REALISTICALLY TRY ON A PAIR OF SPECTACLES VIRTUALLY
A method for generating a final image of an individual from an initial image of the individual acquired by a camera, the image being a still or contained in a video stream. The method includes detecting the face of the individual in the initial image, realistic positioning of a virtual frame on the face of the individual, generating an overlay that is superimposed on the initial image, the overlay comprising a projection of all or a portion of the virtual frame, generating the final image by merging the overlay with the initial image. The frame includes at least one ophthalmic lens characterized by an optical correction and/or an optical treatment. The method also includes, before the final step, a step of calculating the rendering of the ophthalmic lens according to the refraction of the ophthalmic lens and of a depth map of the initial image.
SYSTEM FOR PROJECTING NAKED-EYE 3D IMAGE FROM SELECTED 2D IMAGE
A system, for projecting a naked-eye three-dimensional image from a selected two-dimensional image, includes a data processing apparatus, a projection screen device and an image projection apparatus. The selected two-dimensional image is imported into the data processing apparatus. A predetermined three-dimensional virtual sphere is stored in the data processing apparatus. At least one processor of the data processing apparatus executes an image processing application to project the selected two-dimensional image onto the predetermined three-dimensional virtual sphere according to a spherical plane coordinate conversion method to generate a three-dimensional spherical volume image. The image projection apparatus is capable of communicating with the data processing apparatus. The data processing apparatus projects the three-dimensional spherical volume image onto the hemispherical projection surface via the image projection apparatus such that the naked-eye three-dimensional image associated with the three-dimensional spherical volume image is exhibited on a hemispherical projection surface of the projection screen device.
Target identification for vehicle see-through applications
Examples of the disclosure relate to example systems and methods for operating a see-through display for a vehicle. An example system includes a video camera positioned to capture video related to a vehicle structure that blocks a view of the driver. The system also includes a see-through display disposed inside the vehicle between the vehicle structure and the driver. The system also includes a processor configured to identify a closest object within a field of view of the video camera, determine a distance to the closest object, and process the captured video based, at least in part, on the distance to determine a portion of the captured video to be displayed on the see-through display. The processor renders the portion of the captured video to create a see-through effect relative to the vehicle structure.
Systems and methods for machine learning based physiological motion measurement
A system for physiological motion measurement is provided. The system may acquire a reference image corresponding to a reference motion phase of an ROI and a target image of the ROI corresponding to a target motion phase, wherein the reference motion phase may be different from the target motion phase. The system may identify one or more feature points relating to the ROI from the reference image, and determine a motion field of the feature points from the reference motion phase to the target motion phase using a motion prediction model. An input of the motion prediction model may include at least the reference image and the target image. The system may further determine a physiological condition of the ROI based on the motion field.