Camera Scheduling Techniques for Optimal Camera Placement
Ju-Hwan Kim, Dongsik Jo · 2023
Recently, various research and developments have been conducted to utilize real information in virtual reality. When producing 3D data provided in virtual space, it is necessary to arrange a camera capable of obtaining real object information in order to restore real object information to virtual space. At this time, it is necessary to correct how the arrangement of the cameras should be configured in order to secure information by arranging the cameras in the optimal position. It is necessary to apply the scheduling technique to prevent a situation in which only one camera among the deployed cameras is continuously calibrated and the remaining cameras are not calibrated within a limited time. In this paper, in order to restore 3D information in virtual space, in the process of acquiring information by arranging multiple unstructured cameras, when calibrating unstructured cameras, each camera is optimized so that each camera can be placed in the optimal position. In order to prevent the situation in progress, we propose a camera allocation resource distribution method that applies Round-Robin Scheduling to camera optimization task allocation. Through the results in this paper, it is possible to obtain high-quality real information, secure high accuracy of the information, and optimize camera placement required for 3D data restoration in virtual space through efficient resource distribution of camera placement.