Mirror-based flexible one-step calibration method of light-sectioning system for surface topography.

Area of Science:

• Optical Metrology
• 3D Imaging
• Surface Characterization

Background:

• Accurate surface topography measurement is crucial for quality control and research.
• Existing calibration methods for light-sectioning systems can be complex and time-consuming.
• A simplified, robust calibration is needed for practical applications.

Purpose of the Study:

• To propose a flexible, one-step calibration method for light-sectioning systems.
• To enhance the ease of implementation and accuracy of surface topography measurements.
• To optimize system parameters for precise 3D surface reconstruction.

Main Methods:

• A mirror adapter is used with an arbitrary non-planar object for calibration.
• Real and reflected images are captured by a single camera.
• Two distinct calibration approaches are developed: Direct Calculation (DC) and Virtual Camera (VC) methods.
• The DC method estimates relative rotation and translation; the VC method simulates two cameras via image flipping.

Main Results:

• The proposed method successfully calibrates the light-sectioning system in a single step.
• Numerical simulations indicate the precision of both DC and VC methods.
• Experimental validation using a 3D toy and a mechanical element confirms the method's validity.

Conclusions:

• The developed one-step calibration method offers a flexible and easy-to-implement solution for surface topography.
• The mirror adapter approach effectively separates real and reflected images for accurate parameter estimation.
• This technique provides a reliable foundation for precise 3D surface measurements in various applications.