A human eye like perspective for remote vision

Robots in remote environments (e.g., emergency response) have many potential benefits and affordances, with imagery (or video) being a major, if not primary, affordance. However, remote imagery is usually affected by the keyhole effect, or viewing the world through a ¿soda straw.¿ This work focuses on reducing the keyhole effect by improving the viewing angle of the imagery using a novel method that produces results more akin to that provided by the human vision system. The method and early results are subsequently presented for this human eye like perspective for remote vision.