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Area of Science:

  • Optics and Photonics
  • Computer Vision and Image Processing
  • 3D Imaging Technologies

Background:

  • Structured-light illumination (SLI) is a key 3D imaging technique relying on projected patterns.
  • Real-time SLI systems face challenges with motion artifacts, particularly at object edges.
  • Existing methods to remove artifacts are computationally expensive.

Purpose of the Study:

  • To develop a computationally efficient filtering process for motion artifacts in real-time SLI.
  • To accurately determine surface shape by addressing unpredictable results from edge pixels.
  • To enhance the robustness of SLI systems in dynamic environments.

Main Methods:

  • A novel filtering process based on the discrete Fourier transform (DFT) applied to the time axis of captured patterns.
  • Identification of motion artifacts by analyzing pattern warping across time-multiplexed images.
  • Implementation within a real-time SLI system using a high-speed projector/camera pair.

Main Results:

  • The DFT-based filtering process effectively identifies and removes motion artifacts from edge pixels.
  • The computational complexity of the proposed method is very low.
  • The real-time SLI system experienced a minimal performance drop from 180 to 165 frames per second (fps) after artifact removal.

Conclusions:

  • The introduced filtering method offers an efficient solution for motion artifact removal in SLI.
  • Accurate 3D surface shape determination is improved by eliminating unpredictable edge pixel data.
  • This technique enhances the practical application of real-time SLI in scenarios with object motion.