Abstract: A method for determining lens fitting parameters used for manufacturing a customized visual defect correction device for a customer is provided. The lens fitting parameters include a pupillary distance (PD) of the customer and a fitting height (FH) for the customer. The method includes retrieving, from a provisioning entity, the PD; retrieving, from a database, historical data, the historical data being gathered from one or more different data sources and consolidated in one or more historical data items, each historical data item being assigned to a previous customer and forming a tuple comprising at least the PD, the FH, and at least one frame specific feature; performing a FH determination method, the FH determination method depending on and using the retrieved historical data; and providing the FH and the PD as the lens fitting parameters to a manufacturing facility for manufacturing the customized visual defect correction device.

Abstract: A method, system and computer-program product for real-time virtual 3D reconstruction of a live scene in an animation system. The method comprises receiving 3D positional tracking data for a detected live scene by the processor, determining an event by analyzing the 3D positional tracking data by the processor, comprising steps of determining event characteristics from the 3D positional tracking data, receiving pre-defined event characteristics, determining an event probability by comparing the event characteristics to the pre-defined event characteristics, and selecting an event assigned to the event probability, determining a 3D animation data set from a plurality of 3D animation data sets assigned to the selected event and stored in the data base by the processor, and providing the 3D animation data set to the output device.

Abstract: A method, system and computer-program product for real-time virtual 3D reconstruction of a live scene in an animation system.

Abstract: A method, system and computer-program product for real-time virtual 3D reconstruction of a live scene in an animation system. The method comprises receiving 3D positional tracking data for a detected live scene by the processor, determining an event by analyzing the 3D positional tracking data by the processor, comprising steps of determining event characteristics from the 3D positional tracking data, receiving pre-defined event characteristics, determining an event probability by comparing the event characteristics to the pre-defined event characteristics, and selecting an event assigned to the event probability, determining a 3D animation data set from a plurality of 3D animation data sets assigned to the selected event and stored in the data base by the processor, and providing the 3D animation data set to the output device.

Abstract: A method, system and computer-program product for real-time virtual 3D reconstruction of a live scene in an animation system. The method comprises receiving 3D positional tracking data for a detected live scene by the processor, determining an event by analyzing the 3D positional tracking data by the processor, comprising steps of determining event characteristics from the 3D positional tracking data, receiving pre-defined event characteristics, determining an event probability by comparing the event characteristics to the pre-defined event characteristics, and selecting an event assigned to the event probability, determining a 3D animation data set from a plurality of 3D animation data sets assigned to the selected event and stored in the data base by the processor, and providing the 3D animation data set to the output device.

Abstract: A method, system and computer-program product for real-time virtual 3D reconstruction of a live scene in an animation system. The method comprises receiving 3D positional tracking data for a detected live scene by the processor, determining an event by analyzing the 3D positional tracking data by the processor, comprising steps of determining event characteristics from the 3D positional tracking data, receiving pre-defined event characteristics, determining an event probability by comparing the event characteristics to the pre-defined event characteristics, and selecting an event assigned to the event probability, determining a 3D animation data set from a plurality of 3D animation data sets assigned to the selected event and stored in the data base by the processor, and providing the 3D animation data set to the output device.

Abstract: A method, system and computer-program product for real-time virtual 3D reconstruction of a live scene in an animation system. The method comprises receiving 3D positional tracking data for a detected live scene by the processor, determining an event by analyzing the 3D positional tracking data by the processor, comprising steps of determining event characteristics from the 3D positional tracking data, receiving pre-defined event characteristics, determining an event probability by comparing the event characteristics to the pre-defined event characteristics, and selecting an event assigned to the event probability, determining a 3D animation data set from a plurality of 3D animation data sets assigned to the selected event and stored in the data base by the processor, and providing the 3D animation data set to the output device.