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Structured light 3-D sensing for scenes with discontinuous reflectivity: error removal based on scene reconstruction
Optics Express
|June 29, 2023
Summary
This study introduces a new 3-D reconstruction method to fix errors caused by varying surface reflectivity in fringe projection profilometry (FPP). By combining FPP with single-pixel imaging (SI), it accurately measures 3-D shapes even with discontinuous reflectivity.
Area of Science:
- Optics and Photonics
- Computer Vision
- Metrology
Background:
- Structured light 3-D sensing relies on pixel correspondence between sensors to reconstruct shape.
- Discontinuous reflectivity (DR) in scenes causes intensity deviations due to non-ideal camera point spread function (PSF), leading to 3-D measurement errors.
- Existing fringe projection profilometry (FPP) methods struggle to correct DR errors because scene reflectivity is unknown.
Purpose of the Study:
- To develop an accurate 3-D reconstruction method that effectively alleviates discontinuous reflectivity (DR) errors in fringe projection profilometry (FPP).
- To model and understand the relationship between camera PSF, scene reflectivity, and DR error in FPP.
- To integrate single-pixel imaging (SI) with FPP for enhanced 3-D measurement accuracy under challenging reflectivity conditions.
Main Methods:
- Constructed an error model for fringe projection profilometry (FPP) to analyze DR error sources.
- Introduced single-pixel imaging (SI) to reconstruct scene reflectivity and normalize the captured data.
- Developed a hybrid 3-D reconstruction method combining FPP for initial pixel correspondence and SI for refinement with reflectivity normalization.
Main Results:
- The DR error in FPP is confirmed to be dependent on both camera PSF and scene reflectivity.
- The proposed method effectively normalizes scene reflectivity using SI, enabling calculation of corrected pixel correspondence.
- Experimental verification demonstrated significant alleviation of DR error in 3-D measurements across various reflectivity distributions, maintaining acceptable measurement times.
Conclusions:
- The integration of SI with FPP provides an effective solution for accurate 3-D reconstruction in scenes with discontinuous reflectivity.
- The developed error model accurately describes the impact of DR on FPP measurements.
- This approach significantly improves the robustness and accuracy of structured light 3-D sensing techniques.
