Phase correction strategy based on structured light fringe projection profilometry.

Area of Science:

• Computer Vision
• Optical Metrology
• 3-D Reconstruction

Background:

• Fringe projection profilometry is a key 3-D vision technique known for its speed and robustness.
• Phase unwrapping and depth map calculation are critical steps in this process.
• Phase ambiguity commonly occurs at object edges, limiting accuracy.

Purpose of the Study:

• To develop an adaptive phase segmentation and correction (APSC) method to resolve phase ambiguity.
• To enhance the accuracy of 3-D reconstruction in fringe projection profilometry.
• To improve the reliability of depth map calculations, especially at object boundaries.

Main Methods:

• Proposed an adaptive phase segmentation and correction (APSC) method.
• Introduced a boundary identification technique to create a structural mask for phase segmentation.
• Implemented a phase compensation method to refine phase accuracy.
• Utilized corrected phase data for 3-D reconstruction.

Main Results:

• Successfully distinguished stable and unstable phase areas using a structural mask.
• Phase compensation effectively improved phase accuracy.
• The APSC method demonstrated feasibility and effectiveness in experimental results.
• Achieved accurate 3-D reconstruction based on corrected phase data.

Conclusions:

• The proposed APSC method effectively mitigates phase ambiguity in fringe projection profilometry.
• This technique enhances the precision of 3-D reconstruction by improving phase accuracy.
• The method offers a robust solution for accurate depth map generation, particularly at object edges.