Vision Science: Human and Machine Material Perception

How do we instantly tell the difference between silk, metal, and plastic just by looking at them? Understanding how both human brains and computer algorithms perceive physical materials is a cornerstone of modern vision science, computer graphics, and artificial intelligence. This text-based course guides you from the fundamental physics of light interaction to the cutting-edge algorithms used in machine vision today, helping you build a deep conceptual framework of visual processing. What you'll learn: - Understand the core terminology and biological foundations of human visual perception and psychophysics. - Analyze the optics of light transport, including reflection, refraction, and subsurface scattering on different surfaces. - Explore how computer graphics represent materials using Bidirectional Reflectance Distribution Functions (BRDFs). - Study modern computer vision techniques used to recognize and classify textures and material properties in digital images. - Examine the intersection of deep learning and material perception, including modern neural rendering concepts. - Apply theoretical vision science principles to real-world challenges in image analysis and realistic rendering. Starting with foundational definitions of light, optics, and human anatomy, the course progresses through psychophysical experiments, mathematical modeling of surfaces, and modern computational approaches to material recognition. This course is designed for beginners interested in cognitive science, computer vision, or computer graphics, with no prior background in advanced mathematics or programming required. Start reading today to unlock the secrets of how we see and simulate the physical world.