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Time and frequency -Domain Interpretation of Phase-lead Control01:24

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Phase-lead controllers are commonly used in various control systems to enhance response speed and stability. Adjusting the brightness on a television screen offers a practical example of phase-lead control. When contrast is enhanced, a phase-lead controller is employed. Mathematically, phase-lead control is identified when the first parameter is smaller than the second.
The design of phase-lead control involves the strategic placement of poles and zeros to balance steady-state error and system...
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Updated: Aug 10, 2025

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An Improved Projector Calibration Method by Phase Mapping Based on Fringe Projection Profilometry.

Yabin Liu1,2, Bingwei Zhang1,2, Xuewu Yuan1,2

  • 1Fujian Key Laboratory of Special Energy Manufacturing, Huaqiao University, Xiamen 361021, China.

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|February 11, 2023
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Summary
This summary is machine-generated.

This study introduces an improved projector calibration method for structured light systems, enhancing accuracy and efficiency. The new approach utilizes local random sample consensus (RANSAC) and bundle adjustment (BA) for precise 3D reconstruction.

Keywords:
cubic polynomial fittingfringe projection profilometrylocal random sample consensusphase mappingprojector calibration

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Area of Science:

  • Computer Vision
  • Metrology
  • Optical Engineering

Background:

  • Structured light systems are crucial for 3D reconstruction but often suffer from low projector calibration accuracy.
  • Existing calibration methods can be time-consuming and may not achieve the desired precision for high-speed applications.

Purpose of the Study:

  • To propose an improved projector calibration method for structured light systems to enhance accuracy and efficiency.
  • To address the limitations of current calibration techniques in achieving precise and rapid 3D measurements.

Main Methods:

  • Utilizing local random sample consensus (RANSAC) for sub-pixel coordinate estimation in the projector image plane.
  • Employing a bundle adjustment (BA) algorithm to optimize calibration parameters for improved accuracy and robustness.
  • Establishing a mapping relationship between pixel coordinates and absolute phase using cubic polynomial fitting for rapid disparity calculation.

Main Results:

  • Achieved an average re-projection error of 0.03 pixels after optimization, significantly improving calibration accuracy.
  • Demonstrated suitability for high-speed 3D reconstruction by eliminating the need for time-consuming homogenous point searching.
  • Successfully improved measurement efficiency while maintaining high accuracy.

Conclusions:

  • The proposed projector calibration method offers a significant advancement in structured light system performance.
  • This technique provides a robust and efficient solution for accurate 3D reconstruction in dynamic applications.
  • The optimized calibration process leads to reduced errors and faster data processing.