Towards Artificial Systems: What Can We Learn from Human Perception?

Recent progress in learning algorithms and sensor hardware has led to rapid advances in artiicial systems. However, their performance continues to fall short of the eficiency and plasticity of human behavior. In many ways, a deeper understanding of how humans process and act upon physical sensory information can contribute to the development of better artiicial systems. In this presentation, Buelthoff will highlight how the latest tools in computer vision, computer graphics, and virtual reality technology can be used to systematically understand the factors that determine how humans behave and solve tasks in realistic scenarios.