High-speed three-dimensional shape measurement based on tripartite complementary Gray-coded light.

Area of Science:

• Optics and Photonics
• Computer Vision
• Metrology

Background:

• Phase-shifting profilometry using Gray codes is susceptible to jump errors, especially in dynamic environments.
• These errors are amplified in dynamic scenes, limiting measurement accuracy and speed.
• Existing methods often require additional patterns or lack robustness.

Purpose of the Study:

• To propose a novel method for robust and efficient 3D shape measurement.
• To eliminate jump errors in phase unwrapping during Gray code profilometry.
• To enable high-speed 3D reconstruction in dynamic scenarios.

Main Methods:

• Developed the robust tripartite complementary Gray code (TCG) method.
• Utilized combinations of Gray code to generate three complementary orders.
• Avoided additional pattern projection by leveraging redundant information within Gray codes.

Main Results:

• TCG effectively avoids jump errors during the unwrapping process.
• The method demonstrates robustness and efficiency by fully utilizing Gray code redundancy.
• Experimental results confirm high-efficiency and high-speed 3D shape measurement at 500 fps.

Conclusions:

• The tripartite complementary Gray code (TCG) method offers a robust solution for jump error elimination in phase-shifting profilometry.
• TCG enables accurate and high-speed 3D shape measurement without projecting extra patterns.
• This advancement is particularly beneficial for dynamic scene 3D reconstruction.