On Human Factors for Interactive Man-Machine Vision: Requirements of the Neural Visual System to transform Objects into Percepts

This paper combines recent findings from neuroscience of the primate visual system, neural computation simulations, and dialog-based man-machine tuning experiments in order to define the properties that are essential for novel interactive image acquisition and display systems for human visual augmentation challenges: e.g. a-Interactive Imagery Analysis, b-Visual Prosthetics, and c-Generation of realistic, dynamically explorable Objects. Technical systems need for elicitation of visual percepts in humans a detailed consideration of sensory and motor parameters of the human visual system and also learning control capabilities to provide an optimization of visual percepts in a feedback loop between a technical system and the human.