Ultra-fast 3D imaging by a big codewords space division multiplexing binary coding.

Area of Science:

• Optics and Photonics
• Computer Vision
• Metrology

Background:

• Patternless binary coding is a significant challenge in ultra-fast 3D structured light imaging.
• Existing methods struggle with achieving wide unambiguous ranges and robustness for complex objects.

Purpose of the Study:

• To propose a novel binary coding method for ultra-fast 3D imaging.
• To achieve an ultra-wide unambiguous range using a single auxiliary pattern.
• To enable robust 3D imaging of dynamic and complex objects.

Main Methods:

• A big codewords space division multiplexing binary coding method is proposed.
• A special spatial binary coding, distinct from Gray code, is developed for higher orders.
• Connection domain segmentation with anomaly detection and center of gravity compensation are employed for decoding.

Main Results:

• The proposed method achieves an ultra-wide unambiguous range with only one auxiliary pattern.
• The technique effectively decodes fringe order, overcoming misalignment issues.
• Robust and effective 3D imaging of complex, isolated, and non-uniform reflectivity objects is demonstrated.

Conclusions:

• The developed binary coding strategy significantly advances ultra-fast 3D imaging capabilities.
• This method offers a robust solution for dynamic measurements and imaging challenging objects.
• The approach provides a new tool for high-speed, high-resolution 3D reconstruction.