Computer-generated moiré profilometry based on fringe-superposition.

Area of Science:

• Optical Metrology
• 3D Surface Reconstruction
• Computer Vision

Background:

• Moiré profilometry is a key technique for 3D surface measurement.
• Traditional methods often suffer from noise and limitations with complex surfaces.
• Existing algebraic multiplication approaches have drawbacks in accuracy and noise reduction.

Purpose of the Study:

• To propose a novel computer-generated moiré profilometry method based on algebraic addition.
• To enhance measurement accuracy and capability for complex objects.
• To reduce the impact of high-frequency noise and DC components in fringe pattern analysis.

Main Methods:

• Retrieving and storing AC components of reference fringe patterns.
• Projecting sinusoidal gratings with phase differences onto the object.
• Separating AC components of deformed fringe patterns.
• Generating moiré fringes reflecting sine and cosine of phase information via algebraic addition.
• Extracting phase distribution using arctangent of moiré fringe ratio.

Main Results:

• Successfully generated moiré fringes representing object phase information.
• Demonstrated reduced effect of high-frequency noise and DC components compared to algebraic multiplication methods.
• Achieved improved measurement accuracy and capability for complex objects compared to phase shifting methods.
• Experimental results validated the proposed method's feasibility and effectiveness.

Conclusions:

• The proposed algebraic addition-based moiré profilometry offers superior performance over traditional methods.
• This technique provides a more robust and accurate solution for 3D surface measurement, especially for complex geometries.
• The method effectively mitigates noise and enhances measurement capabilities, paving the way for advanced optical metrology applications.