Phase-shifting profilometry for the robust 3-D shape measurement of moving objects

Area of Science:

• Optical Metrology
• 3D Shape Measurement
• Computer Vision

Background:

• 2D motion in phase-shifting profilometry (PSP) causes coordinate and phase errors in 3D shape reconstruction.
• Accurate 3D measurement of dynamic objects remains a challenge.

Purpose of the Study:

• To develop a robust 3D reconstruction method for arbitrary 2D moving objects in PSP.
• To address and compensate for motion-induced errors in 3D shape measurement.

Main Methods:

• Utilized a composite fence image for object motion tracking.
• Integrated angle extraction and 1D hybrid phase correlation (1D HPCM) for sub-pixel motion estimation and coordinate error removal.
• Employed an adaptive reference phase map for phase error compensation and absolute phase map refinement.

Main Results:

• Successfully estimated sub-pixel motion and obtained transformation matrices for moving objects.
• Compensated for phase errors, generating a refined absolute phase map.
• Achieved accurate 3D surface reconstruction of objects with arbitrary 2D movement.

Conclusions:

• The proposed computational framework effectively performs automatic and accurate 3D shape measurement of 2D moving objects.
• Experimental results validate the robustness and effectiveness of the developed method.