FOV modeling of multi-aperture superposition compound eye based on micro-surface fiber faceplate

The performance of multi-aperture superposition compound eye imaging systems was introduced. The FOV (field of view) modeling for a multi-aperture partial superposition compound eye imaging system based on a micro-surface fiber faceplate was established. The effects of some device parameters such as the FOV, the overlapping rate of different sub-FOVs and the minimal FOV overlap distance between top sub-surface and side sub-surface on the system performance were analyzed. Then, the feasibility of the FOV modeling was verified by measurement of compound eye FOV and FOV overlap rates in an experimental system. Experimental results indicate that the FOV modeling is in accordance with the real imaging system. The deviations of side and corner FOV angles of the system are 3.58% and 12%, respectively, the deviation of overlapping fields between top surface and side surface is 3.33%, and the deviation of overlapping fields between top surface and corner surface is 5.17%. The artificial compound eye FOV modeling establishes a theoretical basis for further study of the target detection and tracking theory of compound eye imaging and has a guiding significance for the designing of multi-aperture FOV artificial superposition compound eye systems.