Fringe Projection

Fringe projection profilometry (FPP) is a 3D shape measurement technique using structured light patterns projected onto an object to reconstruct its surface. Current research focuses on improving accuracy and speed, particularly through the development of deep learning models like CNNs and Transformers to address challenges such as fringe order ambiguity, motion artifacts, and the need for multiple fringe patterns. These advancements are leading to more robust and efficient FPP systems with applications in diverse fields, including non-destructive testing, industrial inspection, and robotics, where high-precision 3D data acquisition is crucial.