High-efficiency and robust binary fringe optimization for superfast 3D shape measurement.

Area of Science:

• Optics and Photonics
• Computer Vision
• Metrology

Background:

• Binary defocusing techniques offer high-speed 3D shape measurement but struggle with simultaneous accuracy.
• Conventional 8-bit sinusoidal patterns are less efficient than 1-bit binary patterns for speed.

Purpose of the Study:

• To develop a high-efficiency and robust binary fringe optimization method for superfast and accurate 3D shape measurement.
• To overcome the limitations of current binary defocusing techniques in achieving both high speed and high accuracy.

Main Methods:

• A hybrid approach combining 1D optimization and 2D modulation for binary fringe patterns.
• Utilizing a three-level Optimized Pulse Width Modulation (OPWM) technique for harmonic elimination and pattern generation.
• Implementing a single-pattern three-level OPWM strategy for reduced pattern projection through multi-dimensional intensity modulation.

Main Results:

• The proposed method generates high-quality phase maps across a wide range of fringe periods (18-1140 pixels) and defocusing levels.
• Demonstrated superfast and high-accuracy 3D shape measurement capabilities through simulations and experiments.
• Achieved significant computational efficiency improvement while maintaining high accuracy via 1D iterative optimization.

Conclusions:

• The optimized binary fringe method successfully enables superfast and high-accuracy 3D shape measurement.
• The technique offers a robust solution for applications requiring rapid and precise 3D surface reconstruction.
• This approach advances binary defocusing techniques by enhancing efficiency and accuracy simultaneously.