3D Measurement

3D measurement techniques are rapidly advancing, driven by the need for precise, high-resolution spatial data across diverse applications. Current research emphasizes developing robust and efficient methods, including structured light, time-of-flight (ToF) sensing, and fringe projection profilometry, often incorporating deep learning for improved accuracy and speed, particularly in spatial phase unwrapping. These advancements are impacting fields ranging from industrial inspection and autonomous driving (where improved camera-only 3D detection is crucial) to biological studies and infrastructure monitoring, enabling more accurate analysis and automated decision-making. The development of more tolerant evaluation metrics is also improving the assessment of 3D detection systems, particularly those relying on less precise depth information.