Abstract
Even when we are seeing the same visual scene, visual images projecting onto the retina and those spatially sampled by retinal photoreceptors are different in each individual due to eye optics, eye movements, pupil fluctuation, and spatial arrangement of retinal photoreceptors that are unique to the individual. As such, while driving a car, some people can locate pedestrians precisely whereas others may overlook them in the same visual scene, which may cause an accident. Therefore, it is important to know retinal images of each individual to provide a personalized driving support for preventing car accidents. Here we developed a system to estimate time-varying retinal images of individuals by taking their unique eye optics, eye movements, changes in pupil diameter, and spatial distribution of photoreceptor arrays into account. We show visualized time-varying retinal images of different individuals with normal and astigmatic eye optics estimated while conducting a driving simulation. We also argue effects of miniature rapid eye movements called microsaccades on retinal images.
