Enhancing Realism in Simulated Prosthetic Vision by Introducing Temporal Models

Abstract

Recent studies have demonstrated the effectiveness of computer vision techniques in assisting patients with visual prostheses. Evaluating these techniques requires the use of Simulated Prosthetic Vision (SPV). In this work, we propose an approach that introduces biologically-inspired temporal models to enhance the realism of SPV in real-time experimental frameworks.