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Absolute phase-assisted three-dimensional data registration for a dual-camera structured light system.

Song Zhang1, Shing-Tung Yau

  • 1Mathematics Department, Harvard University, One Oxford Street, Cambridge, Massachusetts 02138, USA. szhang77@gmail.com

Applied Optics
|June 12, 2008
PubMed
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We developed a new method for 3D shape measurement systems to quickly and accurately register camera patches. This approach uses absolute phase to robustly match patches, reducing alignment errors significantly.

Area of Science:

  • Computer Vision
  • Metrology
  • Optical Engineering

Background:

  • Accurate 3D shape measurement relies on precise registration of data from multiple cameras.
  • Current registration methods are often complex and time-consuming, hindering practical application.
  • Patch registration is a critical step in multi-camera 3D scanning systems.

Purpose of the Study:

  • To propose a novel, cost-effective method for robustly matching 3D data patches from different cameras.
  • To simplify and accelerate the registration process in multi-camera 3D shape measurement systems.
  • To improve the accuracy of 3D reconstruction by enhancing patch alignment.

Main Methods:

  • Utilizing absolute phase information for robust patch matching.
  • Approximating coordinate transformations (y and z) as third-order polynomial functions of absolute phase.

Related Experiment Videos

  • Modeling x-coordinate transformations using translations and scalings.
  • Calibrating transformation functions once for system use.

    • Main Results:

    • Achieved robust matching of different camera patches via absolute phase.
    • Demonstrated that coordinate transformations can be accurately modeled with polynomial functions.
    • Experimental results show alignment errors within Root Mean Square (RMS) 0.7 mm.
    • The proposed method offers a significant improvement in registration efficiency and accuracy.

    Conclusions:

    • The proposed absolute phase-based registration method is effective for multi-camera 3D shape measurement.
    • This technique simplifies the registration procedure without substantial cost increase.
    • The system achieves high accuracy, with demonstrated alignment errors below 1 mm RMS.
    • This method offers a practical solution for improving the performance of 3D scanning systems.