An Efficient 3D Measurement Method for Shiny Surfaces Based on Fringe Projection Profilometry.

Area of Science:

• Optical Metrology
• 3D Imaging

Background:

• Fringe projection profilometry (FPP) offers speed and accuracy but struggles with shiny surfaces due to fringe saturation.
• Shiny surfaces cause issues like fringe saturation or darkness, compromising 3D measurement accuracy.

Purpose of the Study:

• To develop an efficient and accurate FPP method for 3D measurement of shiny surfaces.
• To address the limitations of traditional FPP techniques when applied to specular surfaces.

Main Methods:

• Utilized polarizers to manage specular reflection and reduce fringe saturation.
• Employed a deep learning approach to enhance fringe quality in low-contrast areas.
• Introduced a dual-frequency complementary decoding method for efficient fringe order determination.

Main Results:

• Successfully alleviated fringe saturation on shiny surfaces using polarization.
• Improved fringe quality and measurement accuracy with deep learning enhancement.
• Achieved high-efficiency and high-dynamic-range 3D measurement with dual-frequency decoding.

Conclusions:

• The proposed method effectively overcomes challenges in 3D measurement of shiny surfaces using FPP.
• The combination of polarization, deep learning, and dual-frequency decoding offers a robust solution for accurate and efficient 3D profilometry.