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Multi-line structured light stripes clustering based on a custom iterative window.

Wenguo Li1, Haibo Deng1, Zhipeng Deng1

  • 1Faculty of Mechanical & Electrical Engineering, Kunming University of Science & Technology, Kunming 650500, China.

Heliyon
|August 21, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a novel multi-line structured light stripe clustering method using a custom iterative window. This approach effectively resolves stripe confusion in binocular stereo vision, improving laser stripe matching accuracy.

Keywords:
ClusteringIterative windowMulti-line structured lightStereo matching

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Area of Science:

  • Computer Vision
  • 3D Reconstruction
  • Optical Metrology

Background:

  • Multi-line structured light technology is crucial for 3D reconstruction.
  • Stripe confusion due to noise and breakage hinders accurate stereo matching.
  • Existing methods struggle with robust stripe clustering in challenging conditions.

Purpose of the Study:

  • To propose a robust multi-line structured light stripe clustering method.
  • To address stripe confusion and mis-correspondence in binocular stereo vision.
  • To enhance the accuracy of laser stripe matching.

Main Methods:

  • Object segmentation from the carrier plane.
  • Clustering of extracted centerlines using a custom iterative window.
  • Stripe numbering via barycentric coordinates and sequential consistency constraints.

Main Results:

  • Effective clustering of centerline stripes on measured objects.
  • Successful resolution of stripe mis-correspondence issues.
  • Demonstrated improvement in multi-line structured light stereo matching.

Conclusions:

  • The proposed iterative window clustering method enhances stereo matching accuracy.
  • This technique effectively overcomes challenges posed by stripe breakage and noise.
  • The method provides a reliable solution for 3D reconstruction using multi-line structured light.