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Analysis of Polarization Detector Performance Parameters on Polarization 3D Imaging Accuracy
Pengzhang Dai1,2,3, Dong Yao1,2,3, Tianxiang Ma1,2
1Key Laboratory of Airborne Optical Imaging and Measurement, Chinese Academy of Sciences, Changchun 130033, China.
Sensors (Basel, Switzerland)
|June 10, 2023
Summary
Accurate 3D reconstruction using polarized light depends on detector performance. This study models errors and recommends optimal parameters like extinction ratio ≥ 200 for improved polarization 3D reconstruction accuracy.
Area of Science:
- Optics and Photonics
- Computer Vision
- Metrology
Background:
- Three-dimensional (3D) reconstruction using diffuse light polarization is a key technique.
- Theoretical accuracy is high due to the polarization-zenith angle relationship.
- Practical accuracy is limited by polarization detector performance parameters.
Purpose of the Study:
- To establish mathematical models linking 3D reconstruction errors to detector parameters.
- To identify optimal detector parameters for high-accuracy polarization 3D reconstruction.
- To provide guidance for selecting polarization detectors in 3D reconstruction applications.
Main Methods:
- Developed mathematical models for polarization 3D reconstruction errors.
- Analyzed the impact of polarizer extinction ratio, installation error, full well capacity, and A2D bit depth.
- Utilized simulations to determine suitable detector performance parameters.
Main Results:
- Quantified the relationship between detector parameters and normal vector errors.
- Recommended specific performance parameters: extinction ratio ≥ 200, installation error ∈ [-1°, 1°], full well capacity ≥ 100 Ke-, and A2D bit depth ≥ 12 bits.
- Demonstrated the significance of these parameters for enhancing reconstruction accuracy.
Conclusions:
- Detector performance critically impacts polarization 3D reconstruction accuracy.
- The established models and recommended parameters offer a pathway to minimize errors.
- This research is vital for advancing the precision of polarization-based 3D imaging techniques.

