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Updated: Jul 23, 2025

Determining 3D Flow Fields via Multi-camera Light Field Imaging
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A Novel Calibration Method of Line Structured Light Plane Using Spatial Geometry.

Huiping Gao1, Guili Xu1, Zhongchen Ma2

  • 1College of Automation, Nanjing University of Aeronautics and Astronautics, Jiangjun Road, Nanjing 211106, China.

Sensors (Basel, Switzerland)
|July 14, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces a novel spatial geometry method for calibrating structured light planes, improving accuracy by precisely calculating calibrated points. The new approach significantly reduces calibration errors compared to existing plane target methods.

Keywords:
least square principleplane targetspatial geometrystructured light plane calibration

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Area of Science:

  • Computer Vision
  • Metrology
  • Optical Engineering

Background:

  • Structured light plane calibration is crucial for 3D reconstruction but is often hindered by noise and inaccurate point positioning.
  • Existing methods using plane targets struggle with field of view and sensor noise, leading to deviations in calibrated point coordinates and affecting overall calibration accuracy.

Purpose of the Study:

  • To develop a novel, more accurate method for structured light plane calibration.
  • To overcome limitations of existing methods caused by noise and imprecise point localization.
  • To provide a robust calibration process using readily available targets.

Main Methods:

  • A new method calculates calibrated points based on spatial geometry by finding the midpoint of the common perpendicular between projection and target lines.
  • The target is repositioned to obtain multiple non-collinear calibrated points.
  • Light plane parameters are determined by fitting these calculated points.

Main Results:

  • The proposed method achieves an average calibration error of 0.011 mm.
  • This represents a significant improvement over the 0.031 mm average error of plane target methods using cross-ratio invariance.
  • The calibration process is simplified, requiring only a checkerboard target.

Conclusions:

  • The novel spatial geometry-based method offers superior accuracy for structured light plane calibration.
  • This approach effectively mitigates errors arising from noise and point positioning inaccuracies.
  • The method provides a simpler and more precise alternative for structured light calibration applications.