Structured Light

Structured light uses projected patterns to enable high-accuracy 3D shape measurement and scene understanding. Current research focuses on improving speed and robustness through novel algorithms, including deep learning architectures like convolutional neural networks and transformers, and innovative approaches like neural implicit representations and data-driven lookup tables. These advancements are driving progress in applications ranging from high-speed 3D scanning and augmented reality to industrial inspection and robotic manipulation, particularly in challenging scenarios involving dynamic scenes, low light, and specular surfaces. The development of more efficient and accurate structured light systems is significantly impacting various fields by providing precise 3D data for a wide range of tasks.