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Pixel-wise rational model for a structured light system.

Raúl Vargas, Lenny A Romero, Song Zhang

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Summary

This summary is machine-generated.

This study introduces a new structured light system model that corrects for lens distortion using pixel-specific functions. The novel approach ensures high measurement accuracy, proving robust both inside and outside the calibration area.

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Area of Science:

Optics and Photonics
Computer Vision
Metrology

Background:

Structured light systems are widely used for 3D measurements.
Lens distortion is a common challenge that can degrade accuracy.
Existing models often struggle with local or complex distortion patterns.

Purpose of the Study:

To develop a novel structured light system model.
To accurately compensate for local lens distortion at a pixel level.
To improve measurement accuracy and robustness in 3D reconstruction.

Main Methods:

Proposed a pixel-wise rational function model for lens distortion.
Utilized a stereo vision method for initial system calibration.
Estimated and applied the rational model for each pixel individually.

Main Results:

Achieved high measurement accuracy within the calibration volume.
Demonstrated robust accuracy even outside the defined calibration space.
The pixel-wise approach effectively handled local lens distortions.

Conclusions:

The novel structured light model offers superior accuracy and robustness.
Pixel-wise correction of lens distortion is effective for 3D metrology.
This method advances the capabilities of structured light 3D scanning systems.