Improved calibration and 3D reconstruction for micro fringe projection profilometry

Area of Science:

• Metrology and Measurement Science
• Optical Engineering
• Computer Vision

Background:

• Micro fringe projection profilometry (MFPP) is vital for industrial inspection.
• Existing MFPP systems face limitations in measurement accuracy due to calibration and reconstruction errors.

Purpose of the Study:

• To develop a high-precision MFPP system for microscopic object measurement.
• To enhance system accuracy by addressing calibration and reconstruction errors.

Main Methods:

• Joint calibration of telecentric camera and projector using a virtual 3D target.
• Noise-robust 3D reconstruction integrating epipolar constraints.
• Global homography for refining projector pixel coordinates to mitigate phase errors.

Main Results:

• Determined optimal telecentric camera parameters, avoiding local optima of plane-based methods.
• Achieved enhanced projector calibration accuracy.
• Demonstrated micron-level measurement accuracy in the developed MFPP system.

Conclusions:

• The proposed joint calibration and noise-robust reconstruction significantly improve MFPP accuracy.
• The system offers a robust solution for high-precision microscopic 3D measurements.
• This advancement has implications for industrial inspection requiring fine detail.