Vision Beyond Visible | Episode 1: How Stereo Vision Actually Works | Stereo Vision Explained

How do robots perceive depth? Why do stereo cameras need two lenses? And how can two images be used to estimate the distance to every object in a scene? Welcome to Vision Beyond Visible—Leopard Imaging's educational series exploring the fundamentals of 3D vision, depth sensing, and intelligent perception. In Episode 1, we introduce the core principles behind stereo vision, from human binocular vision to disparity, triangulation, depth map generation, and stereo matching. 🎯 What You'll Learn • How human binocular vision inspires stereo cameras • What disparity is and how it relates to depth • How triangulation estimates object distance • How stereo matching finds corresponding features between two images • How depth maps are generated from stereo images 💡 Why It Matters Stereo vision forms the foundation of many modern 3D perception systems. Whether it's a robot navigating its surroundings or an autonomous machine understanding spatial relationships, accurate depth estimation starts with these fundamental concepts. 📺 Coming Next In Episode 2, we'll explore Active Stereo and discover how infrared pattern projection enhances depth perception in challenging environments. Learn more: https://leopardimaging.com/