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A Single Image 3D Reconstruction Method Based on a Novel Monocular Vision System.

Fupei Wu1,2, Shukai Zhu2, Weilin Ye1

  • 1Department of Mechanical Engineering, Shantou University, Shantou 515063, China.

Sensors (Basel, Switzerland)
|December 15, 2020
PubMed
Summary

This study introduces a novel single-image 3D reconstruction method using a 3-CCD camera and multi-color LED illumination. The technique enhances 3D surface topography reconstruction speed and accuracy for precision manufacturing.

Keywords:
3D measurementautomatic optical inspectionmachine visionmonocular vision system

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Area of Science:

  • * Optics and Vision Science
  • * Precision Manufacturing and Metrology

Background:

  • * Three-dimensional (3D) reconstruction and measurement are crucial for precision manufacturing.
  • * Existing shape-from-shading (SFS) methods face challenges with uncertainty and slow convergence in 3D surface topography reconstruction.

Purpose of the Study:

  • * To propose a novel single-image 3D reconstruction method using a monocular vision system.
  • * To address the limitations of current SFS methods in terms of speed and convergence.

Main Methods:

  • * Development of a novel monocular vision system incorporating a three-level charge-coupled device (3-CCD) camera and ring-structured multi-color LED illumination.
  • * Calibration of illumination parameters (LED angles, density, incident angles).
  • * Extraction of incident light, color distribution, and gray-level information to build a 3D reconstruction model based on camera imaging principles.

Main Results:

  • * Successful computation of surface height information for various surfaces (convex, concave, angular) and a SIM card slot.
  • * Achieved relative errors of less than 3.6% in experimental tests.
  • * Demonstrated reduced time for 3D surface reconstruction compared to existing methods.

Conclusions:

  • * The proposed single-image 3D reconstruction method offers improved accuracy and speed.
  • * The method shows significant potential for reconstructing 3D surface morphology in precision manufacturing applications.