Motion-induced error reduction for high-speed dynamic digital fringe projection system
This addresses measurement accuracy issues in high-speed dynamic digital fringe projection systems, particularly for applications requiring motion compensation, but it is incremental as it builds on existing phase-shifting profilometry methods.
The paper tackles motion-induced errors in phase-shifting profilometry for 3D shape measurement by proposing a pixel-wise error reduction algorithm that uses a motor's encoder and pinhole model, enabling measurement with only three fringe patterns and reducing errors even in non-uniform motion.
In phase-shifting profilometry (PSP), any motion during the acquisition of fringe patterns can introduce errors because it assumes both the object and measurement system are stationary. Therefore, we propose a method to pixel-wise reduce the errors when the measurement system is in motion due to a motorized linear stage. The proposed method introduces motion-induced error reduction algorithm, which leverages the motor's encoder and pinhole model of the camera and projector. 3D shape measurement is possible with only three fringe patterns by applying geometric constraints of the digital fringe projection system. We address the mismatch problem due to the motion-induced camera pixel disparities and reduce phase-shift errors. These processes are easy to implement and require low computational cost. Experimental results demonstrate that the presented method effectively reduces the errors even in non-uniform motion.