Refractive Surface

Refractive surface analysis focuses on understanding and reconstructing the shape of surfaces based on how they refract light. Current research emphasizes developing robust and efficient algorithms, often leveraging deep learning techniques like differentiable renderers and neural networks, to estimate surface geometry from single images or image sequences, even in challenging scenarios like underwater environments or with transparent objects. These advancements are improving 3D reconstruction accuracy and speed in various applications, including robotics (e.g., grasping transparent objects), quality control (e.g., inspecting 3D-printed glass), and underwater imaging. The development of novel methods that handle complex refractive effects is driving progress in this field.