Real-time 3D shape measurement with dual-frequency composite grating and motion-induced error reduction

Area of Science:

• Optics and Photonics
• Metrology
• Computer Vision

Background:

• Phase-shifting profilometry is crucial for dynamic 3D shape measurement.
• Object motion introduces phase shift errors, compromising measurement accuracy.
• Existing methods struggle with complex scenes containing both static and dynamic objects.

Purpose of the Study:

• To propose a real-time 3D shape measurement method for complex scenes with dynamic and static objects.
• To reduce motion-induced errors in phase-shifting profilometry.
• To accurately reconstruct the 3D shape of dynamic scenes while maintaining high accuracy for static components.

Main Methods:

• A dual-frequency composite phase-shifting grating is employed to detect motion regions.
• Motion-induced error is reduced by combining phase-shifting algorithm results with Fourier fringe analysis.
• Phase-shifting image ordering is utilized for real-time dynamic 3D shape reconstruction.

Main Results:

• The proposed method successfully distinguishes between static and dynamic regions within a scene.
• Significant reduction in motion-induced phase errors was achieved.
• Accurate 3D shape reconstruction of dynamic objects and high-precision measurement of static objects were demonstrated.

Conclusions:

• The developed method offers an effective and practical solution for real-time 3D shape measurement in complex dynamic environments.
• It enhances the accuracy and applicability of phase-shifting profilometry for dynamic scenes.
• The technique shows promise for various industrial and scientific applications requiring precise 3D measurements.