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Three-dimensional shape measurement for the steep surface using DMD camera.

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  • 1School of Mechanical Engineering, Guangdong Ocean University, Zhanjiang, 524088, China. shoubozh@126.com.

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This study introduces a novel 3D shape measurement technique using compressed sensing in a Digital Micromirror Device (DMD) camera to accurately reconstruct steep surfaces. The method enhances spatial sampling and noise robustness for precise 3D modeling.

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Area of Science:

  • Optics and Photonics
  • Computer Vision
  • Metrology

Background:

  • Three-dimensional (3D) shape measurement techniques struggle with accuracy on steep surfaces due to phase ambiguity.
  • Existing methods often fail to capture intricate details on surfaces with high slopes.

Purpose of the Study:

  • To develop an accurate 3D shape measurement method for steep surfaces.
  • To overcome the limitations of traditional phase shifting techniques in challenging geometries.

Main Methods:

  • Utilizing compressed sensing theory to reconstruct phase-shifting images captured by a Digital Micromirror Device (DMD) camera.
  • Aligning Charge-Coupled Device (CCD) pixels with DMD mirrors to form a DMD camera system.
  • Employing one-dimensional measurement matrices based on gradient information for data acquisition.
  • Reconstructing sinusoidal stripe images to derive 3D surface models.

Main Results:

  • The proposed method accurately reconstructs 3D models of steep surfaces.
  • Enhanced spatial sampling frequency and improved noise robustness were achieved.
  • Demonstrated capability to measure planes with various slopes effectively.
  • Comparative experiments confirmed the method's ability to correct phase deformation and repair surface defects.

Conclusions:

  • Compressed sensing applied to DMD camera systems offers a robust solution for 3D shape measurement of steep surfaces.
  • The technique provides accurate phase correction and defect repair, improving overall measurement fidelity.
  • This approach advances the field of 3D metrology for complex and challenging geometries.