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Orthogonal Spatial Binary Coding Method for High-Speed 3D Measurement.

Haitao Wu, Yiping Cao, Yongbo Dai

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Summary

This summary is machine-generated.

This study introduces an improved spatial binary coding method for high-speed 3D measurements. The new technique balances periodic divisions and large codewords, enhancing accuracy in both static and dynamic scenarios.

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Area of Science:

Optics and Photonics
Computer Vision
Metrology

Background:

High-speed 3D measurement relies on temporal phase unwrapping using binary coded patterns.
Traditional methods face limitations in balancing periodic divisions and available codewords, impacting accuracy.
Existing techniques often require complex processing for segmentation and anomaly detection.

Purpose of the Study:

To propose a novel large codewords orthogonal spatial binary coding method for 3D measurement.
To enhance the balance between periodic divisions and the number of codewords.
To develop efficient segmentation and decoding techniques for improved accuracy and speed.

Main Methods:

Developed a 2D orthogonal spatial binary coding method expanding from 1D, achieving 27 codewords with three-level periodic division.
Introduced a full-period connected domain segmentation technique utilizing local localization.
Implemented purely spatial and spatial-temporal hybrid codeword recognition methods for decoding.

Main Results:

Achieved a balance between low periodic division and a large number of codewords for the first time.
Successfully suppressed percentage offset caused by static defocusing and dynamic motion.
Validated the method's feasibility and validity for both static and dynamic 3D measurements through experiments.

Conclusions:

The proposed orthogonal spatial binary coding method significantly advances high-speed 3D measurement capabilities.
The novel segmentation and decoding techniques offer efficient and accurate processing.
This approach provides a robust solution for complex measurement environments.