Vision Beyond Visible | Episode 2: Why Stereo Vision Fails in Real-World Environments

Why does a depth map fall apart when the RGB image looks perfectly normal? Welcome to Vision Beyond Visible—Leopard Imaging's educational series exploring 3D vision, depth sensing, and intelligent perception. In Episode 2, we explore why stereo matching can struggle in real-world environments, including low-texture surfaces, glass and reflective surfaces, low-light conditions, and repetitive patterns. 🎯 What You'll Learn Why stereo matching is the foundation of depth estimation Why low-texture surfaces make reliable matching difficult How glass and reflective surfaces disrupt stereo matching Why low light reduces reliable visual features How repetitive patterns create ambiguous matches 💡 Why It Matters Reliable depth starts with reliable stereo matching. Understanding these challenges is an important step toward building robust 3D perception systems. 📺 Coming Next In Episode 3, we'll explore how Active Stereo uses infrared pattern projection to introduce additional visual features and improve stereo matching. 🔗 Learn more: www.leopardimaging.com