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Template-Guided Hierarchical Multi-View Registration Framework of Unordered Bridge Terrestrial Laser Scanning Data.

Guikai Xiong1,2,3,4, Na Cui1,2, Jiepeng Liu1,2

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Summary

This study introduces a novel template-guided method for efficient multi-view registration of bridge point cloud data (PCD). The approach accurately aligns unordered scans to a global system, improving bridge modeling and health monitoring.

Keywords:
bridge point cloud datahierarchical multi-view registrationpoint cloud registrationtemplate-guidedterrestrial laser scanning

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Area of Science:

  • Geomatics Engineering
  • Civil Engineering
  • Computer Vision

Background:

  • Bridge point cloud data (PCD) registration is crucial for modeling, deformation detection, and health monitoring.
  • Existing multi-view registration methods are inefficient due to extensive pairwise matching and graph construction.
  • A need exists for improved methods to handle unordered multiple scans effectively.

Purpose of the Study:

  • To propose a marker-free, template-guided method for aligning multiple unordered bridge PCDs to a global coordinate system.
  • To enhance the efficiency and accuracy of multi-view bridge PCD registration.
  • To recover scan overlaps and establish a merging order without extensive pairwise matching.

Main Methods:

  • A template-guided approach aligns individual scans to a registration template, recovering overlaps.
  • A graph-partition algorithm constructs scan-blocks from overlaps and scan locations.
  • Coarse-to-fine registration within blocks and global block-to-block registration achieve unified alignment.

Main Results:

  • The proposed method successfully aligns multiple unordered bridge PCDs to a global coordinate system.
  • High accuracy was demonstrated on datasets from suspension and continuous rigid frame bridges.
  • The framework efficiently recovers overlaps and establishes a merging order for scans.

Conclusions:

  • The marker-free template-guided method offers a highly accurate and efficient solution for multi-view bridge PCD registration.
  • This approach addresses limitations of existing pairwise registration techniques.
  • The method is suitable for various bridge types, supporting advanced structural analysis and monitoring.