Computational simulation of human fovea

Abstract

Many metaheuristic algorithms have been developed with genuine inspiration from nature. Photoreceptors through certain ganglion cells of fovea towards the main cells of said visual cortex, every physical optical system is modelled in the form of cascading sub-filters. This idea has sparked research into the biological retina to better understand its information-processing capacities to copy the architecture to create mechanical visual sensors. Human fovea photoreceptor cones and rods have a hexagonal rather than a rectangular shape. In that context, we provide a 2-D interpolation lattice conversion approach for creating hexagonal meshes, which is guaranteed to maintain alignment with our visual system and has a straightforward implementation and calculation process. This approach delivers a simulated hexagonal image for visual verification without needing a hexagonal capture or display device.